fcc-agent-team-ext 1.11.0

FCC (Find → Create → Critique) Agent Team Framework

FCC Agent Team Extension

v1.11.0 SHIPPED (2026-06-20) — Phase 3: Persona/Archetype Rationalization, PAOM Handoff & Catalog Export. FCC gains a canonical archetype taxonomy (26 functional roles, each mapped 1:1 to a PAOM-8 behavioral enum; all 168 free-text archetype labels resolved + audited), 8 net-new canonical personas (core 123→131, total 176 — RunnerOps/AsyncAPI Stewards, Charter Conformance Officer, Ecosystem Citizen, Open Scientist Liaison, Vision-Diff Evaluator, Portal-Federation Steward, EIF Appeal liaison), the resolved PAOM #121 agent-spec handoff contract, and a machine-readable catalog export (fcc catalog export / make catalog-export → jsonl + skos + jsonld + paom_override_map.json, cohesion mechanism #1). Builds on:

v1.10.1 (2026-06-20) — CI/release-hardening patch. Stops Dependabot PR waves from starving the PyPI release on the self-hosted runner pool (non-required CI jobs + Docker builds gated off Dependabot; release.yml concurrency group). Builds on:

v1.10.0 (2026-06-19) — Phase 2: Full AOME-Parity Automated UAT. FCC is a first-class, probeable, self-UAT'd ecosystem citizen. Stand up the whole stack with make uat-up, then probe it with make uat-probe: the UX gateway serves an A2A service card (/.well-known/agent-card.json, protocolVersion 0.3.0), Web-MCP discovery (/api/v1/mcp/info, web-mcp-rest-v1, 16 tools), and a portal-component-v1 manifest; every surface is version-coherent. Ships the executable probe contract (scripts/uat_probe_pass.py, INERT-when-down, CI-gated), FCC's partner-probe-guide.md, 3 journey streams, a Quick/Moderate/Slow performance model, cross-surface tripwires + UAT_CRITERIA.md, an advisory qwen3-vl vision harness, and journey_event_v1 emission. Produces FCC's first manual-UAT hand-off (docs/uat/v1.10.0/manual_uat_handoff.md). Continues the v1.8.3 → v2.0.0 ecosystem re-sync, full-parity UAT & persona-rationalization arc — see ROADMAP.md and CHANGELOG.md.

FCC (Find → Create → Critique) agent workflow framework — a clean, well-structured Python package for orchestrating documentation agent teams with plugin ecosystem, event bus, observability, and human-in-the-loop collaboration.

Quick Start

For Users

pip install fcc-agent-team-ext
fcc --version

For Contributors

git clone https://github.com/rollingthunderfourtytwo-afk/l2_fcc_agent_team_ext.git
cd l2_fcc_agent_team_ext
make venv && source .venv/bin/activate
make install-dev
make test && make lint

What is FCC?

FCC is a five-phase workflow for documentation creation:

1. Find — Research personas gather and synthesize information
2. Create — Design, operations, and user-facing personas produce artifacts
3. Build — Engineering personas construct implementations and pipelines
4. Critique — Review and governance personas ensure quality
5. Ops — Operational personas manage deployment and monitoring

102 core personas across 20 categories, 45 vertical personas across 6 industry packs (healthcare, finance, legal, insurance, energy, government), and 23 plugin personas — 147 total — collaborate through message-passing workflows with feedback loops, event-driven messaging, observability tracing, human-in-the-loop collaboration, A2A/MCP protocol integration, and real-time web dashboards:

Category	Count	Key Personas
Core	5	Research Crafter, Blueprint Crafter, Documentation Evangelist, Runbook Crafter, User Guide Crafter
Integration	8	Catalog Indexer, UI Mockup, Semantic Taxonomy, Traceability, Blueprint Validator, Research Inventory, SAFe Metrics, Performance Tuner
Governance	4	Data Governance, Privacy Taxonomy, Governance Compliance Auditor, Key Vault Config Steward
Stakeholder	5	Collaboration Orchestrator, Executive Communicator, Roadmap Synchronizer, Content Publisher, Anti-fact Mitigation
Champion	4	Research Crafter Champion, Blueprint Crafter Champion, User Guide Champion, Doc Evangelist Champion
Data Engineering	6	SQL Query Crafter, Transformation Alchemist, Pipeline Orchestrator, Integration Specialist, Quality Guardian, Automation Scripter
ML Lifecycle	9	Data Sourcing, EDA Navigator, Feature Architect, Model Architect, Experiment Scientist, Inference Orchestrator, Insight Reporter, Interpretability Analyst, Model Ops Steward
ML Models	11	Neural Network, Logistic Regression, Gradient Boosted Trees, Random Forest, Isolation Forest, DBSCAN, Q-Learning, Siamese Neural Network, Clustering, Collaborative Filtering, Forecasting
DevOps	3	Pipeline Builder, DevOps Engineer, User Stories Specialist
App Development	2	App Maker, Notebook Collaboration Coach
UX Visualization	6	D3 Visualization Architect, Interactive Dashboard Designer, NanoCube Analyst, Real-time Event Renderer, Hypothesis Explorer, UX Accessibility Auditor
Protocol Engineering	6	A2A Skill Designer, MCP Tool Architect, Event Bridge Orchestrator, WebSocket Stream Manager, Protocol Compliance Auditor, AGENTS.md Generator
JV Governance	6	IP Evaluation Analyst, Partnership Coordinator, Patent Portfolio Assessor, Open Science Compliance Officer, JV Dependency Auditor, Innovation Registry Steward
Specialized	27	Open Science, Responsible AI, Privacy, Knowledge Graph, Local-First AI, JV Collaboration, Docs-as-Code personas

Champions are elevated personas that orchestrate teams of base personas. Each persona supports 6 action types: scaffold, refactor, debug, test, compare, document.

Who Is This For?

• Beginners / Students — Learn agent orchestration patterns, persona-based workflows, and documentation-as-code methodologies through a well-structured, tested codebase with comprehensive examples. Start with Understanding FCC (Book 1).
• Developers — Build agent-powered documentation pipelines using a modular Python framework with CLI tooling, simulation engines, plugin system, event bus, semantic search, and RAG pipeline. Start with Building with FCC (Book 2).
• Researchers — Study the R.I.S.C.E.A.R. persona specification, 56-dimension persona profiling, Discernment Matrix, and Design Target Factors as formal models for human-AI collaboration. Use knowledge graphs and event replay for reproducible experiments. Start with Advanced FCC (Book 3).
• Practitioners — Deploy FCC workflows in enterprise settings with governance controls, quality gates, capability tagging, observability tracing, human-in-the-loop collaboration, federated knowledge graphs, and Scaled Agile alignment.

See Learning Paths for audience-specific guided routes through the framework.

R.I.S.C.E.A.R. Framework

The full R.I.S.C.E.A.R. specification defines personas with 10 core components:

Component	Purpose
Role	Identity and function
Input	Data and background information
Style	Tone, language, and format
Constraints	Limitations and requirements
Expected Output	Desired structure and detail
Archetype	Fundamental character/persona
Responsibilities	Duties and ethical obligations
Role Skills	Skills for job execution
Role Collaborators	Team collaboration patterns
Role Adoption Checklist	Integration validation

Plus: Discernment Matrix (6 traits), Design Target Factors (6 factors), and a 56-dimension Persona system across 9 categories — all 102 personas fully populated with dimension profiles, discernment matrices, and design target factors.

Key Concepts

• FCC Cycle — The five-phase workflow (Find → Create → Build → Critique → Ops) that structures how documentation is researched, produced, and reviewed. Artifacts flow forward through phases, with feedback edges enabling iterative refinement.
• Personas — AI agent roles defined by the R.I.S.C.E.A.R. specification. Each persona has a specific function, communication style, constraints, and collaboration patterns. 102 core personas span 20 categories, 45 vertical personas span 6 industry packs, plus 23 plugin personas (147 total).
• Champions — Elevated personas that orchestrate teams of base personas. Each champion coordinates 3-4 team members, enabling top-down coordination alongside bottom-up message passing.
• Cross-Reference Matrix — A queryable 100+ entry interaction map across 5 relationship types (handoff, feedback, coordination, governance, champion-of). Supports upstream, downstream, peer, and relationship-type queries.
• Workflow Actions — Six action types (scaffold, refactor, debug, test, compare, document) that personas can perform, with 312 action definitions across all personas. Executed via the ActionEngine.
• Plugin System — 10 plugin types (personas, engines, templates, scorers, validators, providers, governance, scenarios, workflows, subscribers) with entry-point discovery, dependency resolution, and cross-plugin orchestration.
• Event Bus — Thread-safe in-process pub/sub messaging with 81 event types, filtering, serialization, and deterministic replay.
• Observability — Structured tracing (FccTracer with @traced decorator) and metrics collection (FccMetrics), with console/JSON exporters and optional OpenTelemetry bridge.
• Collaboration Engine — Human-in-the-loop sessions with quality scoring, approval gates, handoff protocols, and progress tracking.
• Scenarios — Predefined test cases that exercise specific FCC workflows. 29 scenarios cover basic through advanced orchestration patterns.
• Quality Gates — Automated validation checkpoints that enforce documentation standards. 30+ gates with configurable severity (error, warning, info).
• Protocol Bridge — Cross-protocol event routing through EventBus, connecting A2A tasks, MCP tool calls, and WebSocket streams.
• JV Governance — Partnership evaluation framework with DualAxisEvaluator (5 technical + 5 strategic dimensions), IP reconciliation, and synergy assessment.
• Open Science — FAIR-compliant research support with 12 templates, 6 gates, and reproducibility workflows via OpenScienceRegistry.
• WebSocket/SSE — Real-time messaging protocols (WSProtocol with 9 message types, SSEStreamBridge) for EventBus-to-browser event streaming.

Project Structure

src/fcc/
├── __init__.py          Package root, __version__
├── _resources.py        Centralized data/template path resolution (importlib.resources)
├── personas/            Persona models, R.I.S.C.E.A.R. specs, dimensions, registry, cross-reference
├── workflow/            Workflow graph models, traversal, actions, action engine
├── simulation/          Deterministic + AI-powered simulation engine
├── scenarios/           Scenario loading, dynamic validation framework
├── protocols/           A2A agent cards, MCP server, protocol bridge, WebSocket/SSE, stream manager
├── messaging/           Event bus, pub/sub, serialization, replay (81 event types)
├── observability/       Structured tracing, metrics collection, exporters
├── collaboration/       Human-in-the-loop sessions, scoring, progress tracking
├── dashboard/           Terminal-based ASCII dashboards (5 views)
├── scaffold/            CLI tool (20+ commands), template engine, doc generator, code analyzer
├── governance/          Capability tags, quality gates, constitutions, compliance, JV governance
├── plugins/             Plugin system (10 types), PAOM/AOME/CONSTEL plugins
├── ecosystem/           Cross-project ecosystem registry
├── artifacts/           SQLite artifact database, versioning
├── objectmodel/         Object model abstraction layer (Repository[T], Facade, Evolution, Federation)
├── search/              Semantic search (EmbeddingProvider, SearchIndex, PersonaSearchIndex)
├── knowledge/           Knowledge graphs (9 node types, 9 edge types, OWL/RDF/SKOS serializers, federation)
├── rag/                 RAG pipeline (DocumentChunker, SemanticRetriever, RAGPipeline)
├── federation/          Cross-project federation (EntityResolver, NamespaceRegistry, ChangeTracker)
├── evaluation/          CLEAR+ benchmarking, model cards, benchmark runner
├── compliance/          EU AI Act, NIST AI RMF, compliance pipeline, auditor
├── demos/               Guided demos (15 demos including evaluation and compliance)
├── tutorials/           Tutorial tracking (TutorialTracker, TutorialModule, progress checkpoints)
├── data/                Package data (included in wheel distribution)
│   ├── personas/        102 personas across 20 YAML files + cross-reference matrix + dimensions
│   ├── workflows/       7 workflow graphs (base, extended, complete, extended_84, 2 EAIFC)
│   ├── schemas/         31 JSON Schemas (persona, workflow, event, search, knowledge_graph, rag, federation, benchmark, model_card, compliance, ...)
│   ├── scenarios/       33 scenarios (6 starter + 11 advanced + 12 EAIFC + 4 evaluation/compliance)
│   ├── governance/      Tag registry (35+ tags) + quality gate definitions (30+ gates) + constitutions
│   ├── ecosystem/       Plugin dependencies, interactions
│   ├── objectmodel/     CTO patterns, evolution examples, best practices (educational YAML)
│   └── docs/            Topic registries, cookbooks, evolution guides, guidebook chapters, labs, assessments
└── templates/
    ├── project/         Jinja2 templates for project scaffolding
    └── docs/            23 Jinja2 templates for docs-as-code generation

notebooks/               23 Jupyter notebooks (beginner → expert)
apps/streamlit/          27 Streamlit apps (4 educational + 4 demo + 19 production)
frontend/                React 18 + D3.js web frontend (8 pages, 12 visualizations)
docs/guidebook/          24-chapter FCC Guidebook with labs and assessments
docs/books/              3-book series (30 chapters total)
docs/decisions/          5 Architecture Decision Records (ADRs)
tests/                   12,100+ tests across 230+ test files (100% coverage)

v1.0.3 Highlights (Current)

• 27 Publication Artifacts Committed — 4 books × 4 formats + executive/academic/reference cards (PDF, EPUB, DOCX, PPTX, HTML) in publications/_output/
• Functional Publishing Pipeline — make pub-all builds all 27 artifacts in ~3-5 min (Quarto 1.5 + Typst, no TeX needed)
• Auto-Publish Workflow — .github/workflows/publish.yml uploads artifacts to GitHub Releases on every release event
• Complete make help — All 44 targets documented (was 35 missing publishing section)
• For-Teams Expansion — 4 new files: workflow templates, multi-team governance, scaling guide, shared knowledge base
• New Tutorials & Prompts — building-your-own-book, contributing-to-books, team-coordination-prompts, publications-workflow-prompts

v1.0.2 Highlights

• 300+ Mermaid Diagrams — Comprehensive visual documentation across all personas, API modules, specifications, guidebook chapters, and book series
• Multi-Format Publishing — Quarto + Pandoc pipeline generating PDF books, EPUB, Word documents, PowerPoint decks, and reference cards
• All 117 Personas in MkDocs — Complete navigation coverage for all 102 core + 15 vertical personas across 23 categories (v1.2.0: extended to 147 personas with 6 vertical packs)
• 0 MkDocs Warnings — All 299 strict-mode warnings resolved with automated link fixing and nav path correction
• Executive Package — Standalone PowerPoint deck and PDF for decision makers
• Academic Package — 12-week curriculum, workshop guide, and student workbook in PDF/DOCX
• Quick-Start Reference Cards — Condensed 1-2 page PDF cards for personas, CLI, workflows, and prompts
• MkDocs Enhancements — Version selector, print-site plugin, dark-mode Mermaid, code annotations, social cards

v0.9.0 Highlights

• CLEAR+ Benchmarks — 7-dimension evaluation framework (Cost, Latency, Efficacy, Assurance, Reliability, Coverage, Explainability) with benchmark runner, regression detection, and CI advisory step
• Model Cards — 128 generated model cards (102 persona + 6 workflow + 20 category) in Mitchell/Gebru format (v1.2.0 regenerates to 173 cards: 147 persona + 6 workflow + 20 category)
• EU AI Act Compliance — 256+ codified requirements from Regulation 2024/1689 with risk classification for all personas
• NIST AI RMF Mapping — 29 subcategories with bidirectional crosswalk to EU AI Act
• Compliance Pipeline — Automated auditing with event emission (7 new EventTypes, 73 total)
• 15 Guided Demos — including CLEAR benchmark, model card generation, AI Act audit, and compliance pipeline
• 27 Streamlit Apps — including benchmark dashboard and compliance audit dashboard

Architecture Overview

graph TB
    YAML[YAML Personas] --> REG[PersonaRegistry]
    REG --> SIM[Simulation Engine]
    REG --> DOC[Doc Generator]
    REG --> ACT[Action Engine]
    SIM --> TRACE[Traces]
    SIM --> BUS[Event Bus]
    DOC --> DOCS[6,500+ Doc Files]
    ACT --> BUS
    GOV[Governance] --> SIM
    BUS --> OBS[Observability]
    BUS --> COLLAB[Collaboration]
    CLI[fcc CLI] --> SIM
    CLI --> DOC
    CLI --> ACT
    CLI --> DASH[Dashboard]
    PLUG[Plugin System] --> REG
    PLUG --> ACT
    OBJ[Object Model] --> REG
    OBJ --> CTO_B[CTO Bridge]

    subgraph Protocol Layer
        A2A[A2A Agent Cards]
        MCP[MCP Server]
        AGENTS[AGENTS.md Gen]
        BRIDGE[Protocol Bridge]
    end

    REG --> A2A
    CLI --> MCP
    REG --> AGENTS
    BUS --> BRIDGE

    subgraph Web Layer
        REACT[React Frontend]
        WS[WebSocket]
        SSE_N[SSE]
    end

    BUS --> WS
    WS --> REACT
    BUS --> SSE_N

    subgraph JV Governance
        JV_REG[JV Registry]
        JV_EVAL[Dual-Axis Evaluator]
        OS[Open Science]
    end

    GOV --> JV_REG
    JV_REG --> JV_EVAL
    JV_REG --> OS

Ecosystem Documentation

FCC is one project in a 22+ project ecosystem — every sibling project carries a codename (PHOENIX, NEXUS, POLARIS, LYRA, AURORA, ATHENIUM, MNEMOSYNE, and the 10 constellation vocabulary packs), and each codename encodes a specific ecosystem role. The docs/ecosystem/ tree is the single source of truth for what those codenames mean, how the projects coordinate, which services cross repo boundaries, and what license terms flow through the canonical seed-data pipeline. If you don't know what PHOENIX or POLARIS or LYRA is, start here.

• Ecosystem Overview — landing page with audience-based quick nav (NEW in v1.6.1)
• Codename Decoder — codename → full name + origin reasoning + local clone path + GitHub URL for every ecosystem project
• Alignment Status — 19-project registry, three-tier classification, ecosystem topology diagram
• Universal Services — 22-entry service-coordination superset (FCC ↔ sibling project contracts)
• Tri-Authority Topology — canonical hub-and-spoke view of FCC ↔ NEXUS ↔ PHOENIX ↔ ORCHESTRA coordination (NEW in v1.7.1)
• Coordination Records — per-authority handoff playbooks (NEW in v1.7.1)
• NEXUS Research Coordination — Research Center industry-paper + JV-statistics handoffs
• PHOENIX Open-Science Coordination — ai-coe-docs open-science + quality-gate + patent-IP coordination
• ORCHESTRA Integration-Tests Coordination — public cross-repo contract-test gate
• Seed-Canonical License Notices — Pillar A canonical seed-data license terms (v1.6.0)
• RC Coordination Record — Research Center handoff + statistics coordination
• ICE-EXT Patent Coordination — patent-delegation coordination with ice_ext/POLARIS

For architectural + plugin-level protocol details (A2A agent cards, MCP servers, plugin matrix), keep reading the section below.

Ecosystem & Protocol Integration

FCC operates within a 10+ project ecosystem. Six projects already implement A2A protocol and MCP servers:

Project	A2A	MCP	FCC Plugin
PAOM	Agent Card	25 tools	13 personas
AOME	Agent Card builder	9 tools + 5 resources	5 personas
CONSTEL	Agent Card builder	Routes	5 personas
CTO	Full protocol	Integrated server	Object model bridge
Research Center	Full (8 skills)	4 tools	—
Sky-Parlour	Handlers	Extended client	—
FCC	Agent Card generation	14 tools + 14 resources	Protocol bridge

FCC's R.I.S.C.E.A.R. specification is a strict superset of A2A Agent Cards — any persona can be projected down to an Agent Card without loss. See Protocol Architecture and Ecosystem Integration Guide for details.

Knowledge Federation

FCC v0.8.0 introduces a full knowledge layer for intelligent document and persona retrieval:

• Semantic Search (fcc.search) — Vector embedding-based search across personas, actions, and documents. Pluggable EmbeddingProvider protocol with mock (384d) and real backends. PersonaSearchIndex and ActionSearchIndex for domain-specific search.
• Knowledge Graphs (fcc.knowledge) — Graph representation of the entire FCC ecosystem with 9 node types (persona, workflow, action, category, dimension, plugin, event, scenario, gate) and 9 edge types. Export to OWL, RDF, SKOS, and JSON-LD. Federation support for cross-project graphs.
• RAG Pipeline (fcc.rag) — Retrieval-Augmented Generation pipeline with 6 chunking strategies, semantic retrieval, and persona-aware query augmentation. Enables intelligent Q&A over the 6,500+ document corpus.
• Federation (fcc.federation) — Cross-project entity resolution, namespace registry (11 ecosystems), change tracking, and federated knowledge graph merging.

Patent

DRAFT — not legal advice. For counsel review only. Nothing under docs/patent/ constitutes legal advice or a filing decision.

FCC was designated the patent-centric anchor of the ecosystem at v1.3.9. The full draft patent package lives under docs/patent/ — 12 files covering an invention disclosure form, prior-art landscape (35 items reviewed, 0 direct overlaps, 2 Medium-risk, 8 Low-risk flagged), a provisional specification with 20 claims (3 independent + 17 dependent), a non-provisional utility specification with 32 claims (5 independent + 27 dependent), a per-claim freedom-to-operate risk register, and a drawings pointer re-using the v1.3.7 4+1 UML views as FIG. 1–6. The package was FTO-clean per the v1.3.9 audit and remains counsel-gated — actual filing is explicitly out of scope until patent counsel is engaged. Ownership: INFORMATION COLLECTIVE, LLC; operational owner = Innovation Handoff Liaison (IHL) persona.

The make pub-patent target (v1.5.4+: direct Pandoc + typst PDF engine; previously a Quarto profile that required LaTeX) regenerates DRAFT PDF + DOCX with DRAFT — COUNSEL REVIEW ONLY — NOT FOR FILING subtitle + posture. Artifacts land at publications/_output/patent/fcc-patent-package-draft.{pdf,docx} and are preserved in the repository for counsel-review convenience.

Release-asset disclaimer: patent artifacts under publications/_output/patent/** are NOT shipped in GitHub Release assets. The release workflow's asset whitelist excludes patent/** explicitly — the DRAFT watermark and counsel gate keep them out of any public distribution channel until counsel signs off.

Cross-repo consolidation to ai-coe-docs (PHOENIX) as the ecosystem single-source-of-truth, any public filing, and the FCC → ai-coe-docs mirror PR all remain owner-approval-gated per the v1.4.3 delegation runbook and the post-v1.5.0 cuddly-turtle plan.

Book Series

Three comprehensive books in docs/books/ covering all aspects of the FCC framework:

Book	Chapters	Audience
Understanding FCC	10	Beginners, students, managers
Building with FCC	10	Developers, integrators
Advanced FCC	10	Researchers, architects, contributors

Each book includes worked examples, exercises, and cross-references to the guidebook labs.

Publications (Multi-Format Downloads)

All documentation is available as pre-built downloadable artifacts in publications/_output/ and attached to GitHub Releases. Formats: PDF · EPUB · DOCX · HTML · PPTX.

Books (PDF, EPUB, DOCX, HTML)

Book	PDF	EPUB	DOCX	HTML
Book 1: Understanding FCC (10 ch)	📄	📖	📝	🌐
Book 2: Building with FCC (10 ch)	📄	📖	📝	🌐
Book 3: Advanced FCC (10 ch)	📄	📖	📝	🌐
FCC Guidebook (24 chapters)	📄	📖	📝	🌐

Executive Package (Decision Makers)

• Executive Summary — PDF · DOCX
• Executive Presentation (10 slides) — PPTX · HTML reveal.js

Academic Package (Educators)

• 12-Week Curriculum + Workshop + Workbook — PDF · EPUB

Quick-Start Reference Cards (PDF, 1–2 pages each)

• Persona Categories — All 26 categories (20 core + 6 vertical), 147 personas
• CLI Commands — All fcc commands
• Workflow Patterns — 7 graph variants
• Prompt Templates — 10 essential patterns
• R.I.S.C.E.A.R. Quick Reference — 10-component specification

Build from source: make pub-all (requires Quarto 1.5+). See docs/publications/ for the build guide.

Learning Paths

If you are...	Start with...	Time
Student / beginner	Beginner Path	1-2 hours
Software developer	Developer Path	4-8 hours
AI researcher	Researcher Path	8-16 hours
Team lead / manager	Practitioner Path	16+ hours
PhD / academic	Scientist Path	Ongoing

CLI

# Project management
fcc init --name "my-project" --dir ./my-project          # Bootstrap FCC project
fcc add-persona "Custom Analyst" --phase Find --id CA    # Add persona
fcc validate                                              # Check project structure

# Simulation
fcc simulate --scenario GEN-001                           # Run simulation

# Documentation generation
fcc generate-docs --dir ./docs --personas all             # Generate all 6,500+ doc files
fcc generate-docs --dir ./docs --personas core            # Generate core persona docs only
fcc validate-docs --dir ./docs                            # Validate generated docs
fcc sitemap --dir ./docs                                  # Generate SITEMAP.md

# Plugins
fcc plugins list                                          # List installed plugins
fcc plugins info paom                                     # Show plugin details
fcc plugins validate                                      # Validate plugin compatibility

# Workflow actions
fcc action list                                           # List available actions
fcc action run scaffold --persona RC                      # Run scaffold action for RC

# Collaboration
fcc collab start --workflow base_sequence --participants "RC,BC,human1"
fcc collab turn --session <id> --content "Review findings"
fcc collab gate --session <id>                            # Evaluate approval gate
fcc collab status --session <id>                          # Check session status

# Dashboards
fcc dashboard ecosystem                                   # Project ecosystem overview
fcc dashboard personas                                    # Persona catalog
fcc dashboard quality                                     # Quality gate status
fcc dashboard collab                                      # Collaboration sessions

# Protocol integration
fcc protocol mcp-server                                      # Start MCP server
fcc protocol a2a-cards                                       # Generate A2A Agent Cards
fcc protocol agents-md                                       # Generate AGENTS.md
fcc protocol a2a-server                                      # Start A2A server

# Evaluation & compliance
fcc benchmark run --suite baseline --mock                    # Run CLEAR+ benchmarks
fcc benchmark compare baseline candidate                     # Compare benchmark runs
fcc model-card generate --all --output docs/model-cards      # Generate 173 model cards
fcc compliance-audit --regulation EU_AI_ACT                  # Run EU AI Act audit
fcc compliance-report --output compliance_report.md          # Generate compliance report

Phase Roadmap

Phase	Status	Tests	Description
1. Foundation	Done	3	Project skeleton, packaging, smoke tests
2. Core FCC	Done	43	Personas, workflow graph, registry
3. Simulation	Done	32	Engine, traces, AI client, scenarios
4. Scaffolding CLI	Done	22	fcc init, templates, project config
5. Governance	Done	21	Tags, quality gates, compliance
R.I.S.C.E.A.R. Expansion	Done	259 total	Full 10-component spec, dimensions, strategic architecture
Extended Persona Gallery	Done	693 total	24 personas, cross-reference matrix, champion architecture, docs-as-code (1,348 files), dynamic validation
CI/CD, Scenarios & Docs	Done	726 total	GitHub Actions CI/CD, MkDocs deployment, 11 advanced scenarios, 5 new validation rules
Coverage Push to 100%	Done	757 total	100% line coverage across 20 test files
Phase 5.5: Profiles & Docs UX	Done	877+ total	24 dimension profiles, documentation overhaul, MkDocs UX, 50 hand-written pages
Phase 6: Cross-Reference Expansion	Done	1030+ total	Cross-reference matrix 16→106 entries, governance/champion-of types, 3 quality gates
Phase 7: Distribution	Done	1168 total	PyPI packaging, release automation, _resources module
Phase 8: Plugin System & Ecosystem	Done	1454+ total	9 plugin types, 50→84 personas (17 categories), 5-phase workflow, artifact DB, ecosystem registry
Phase 9: EAIFC Integration	Done	1705 total	34 new personas, 6-action workflow (204 actions), ActionEngine, ConstitutionRegistry
Phase 10: Plugin Ecosystem & Collaboration	Done	2472 total	Event bus, observability, collaboration engine, 10th plugin type, PAOM/AOME/CONSTEL plugins, dashboards
Phase 11: FCC Book, Notebooks & Streamlit	Done	2932 total	Object model abstraction, CTO bridge, 12 notebooks, 10 Streamlit apps, 14-chapter guidebook
Phase 12: Protocol Integration & Web Frontend	Done	5570+ total	A2A protocol, MCP server, 18 new personas (102 total), React frontend, JV governance, simulation hardening
Phase 13: Knowledge Federation & Doc Intelligence	Done	9265 total	Semantic search, knowledge graphs, RAG pipeline, federation, demos, tutorials, 3 books, docs-from-code
Phase 14: Evaluation, Governance & Compliance	Done	11,025+ total	CLEAR+ benchmarks, 128 model cards, EU AI Act compliance, NIST AI RMF, compliance pipeline, 73 event types
Phase 15 Stage I: Unified Object Model	Done	11,439+ total	AOME/CONSTEL bridges, UnifiedModelFacade, 67 CTO↔AOME + 45 SID↔CTO mappings, unified search/KG/RAG, provider registry
Phase 15 Stage II: Enhanced Demos, UI & Messaging	Done	11,892+ total	4 new demos (19 total), PriorityEventBus, DLQ, circuit breaker, 81 EventTypes, 4 Streamlit apps (27 total)
Phase 15 Stage III: Documentation Excellence	Done	12,052+ total	6 book chapters (30 total), 4 notebooks (23 total), 4 guidebook chapters (24 total), maturity model
Phase 15 Stage IV: Platform Release & v1.0.0	Done	12,100+ total	VS Code extension, 3 domain verticals (15 new personas), public API freeze, migration guide, v1.0.0 release
v1.0.1: Documentation Overhaul	Done	12,100+ total	Docs accuracy across 60+ files, guidebook restructure, model card version fix, adoption guide, audience quick-starts, expanded vertical prompts
v1.0.2: Multi-Format Publishing	Done	12,100+ total	300+ Mermaid diagrams, Quarto/Pandoc publishing pipeline, PDF/EPUB/DOCX/PPTX output, all 117 personas in MkDocs, 0 strict-mode warnings, executive/academic/reference packages
v1.0.3: Publishing Pipeline Live	Done	12,100+ total	27 artifacts built and committed, GitHub Actions publish workflow, make help completeness, for-teams expansion (5 files), 2 new tutorials, 2 new sample prompt files, README Publications section
v1.1.0: Docker + AI Provider Expansion	Done	12,100+ total	4 Dockerfiles + compose stack, make docker-* targets, WebSocket bridge entry function with HTTP /health endpoint, Ollama plugin, LiteLLM plugin (100+ backends via one client), conservative auto-detection, scenario ai_config override, model-reference sweep, [full] optional deps group, deployment + provider docs (7 files), notebook 24, audience tutorials
v1.1.0.1: Forward-fix patch	Done	12,100+ total	4 forward-fix commits consolidated: frontend Dockerfile tsc bypass, backend image OOM fix (slim deps), WS bridge /health endpoint using proper Response object, Jupyter HOME=/app fix, mkdocs-print-site-plugin added to [docs], docs.yml broken cross-repo links, publish.yml apt-get install pandoc. End-to-end local Docker stack verified: all 4 containers report healthy
v1.1.1: Helm + ghcr.io + vLLM	Done	12,100+ total	Multi-arch image push to ghcr.io/rollingthunderfourtytwo-afk/fcc-* (amd64+arm64), Helm chart at charts/fcc/ (12 default + 14 prod K8s resources, 39 helm tests), helm-mirror CI for sister fcc-helm repo (inert until configured), kind k8s-smoke CI workflow, vLLM provider plugin (#7) with docker/vllm.yml GPU example + 17 tests, 7 deferred deployment docs (kubernetes/helm/security/observability/upgrade/images/helm-repo-mirror), docs/providers/vllm.md, notebook 25
v1.2.0: Vertical Schema Extension + Industry Packs	Done	12,100+ total	Schema v2 with nested R.I.S.C.E.A.R. + backward-compat v1 loader (anyOf), retrofitted healthcare/finance/legal (15 personas → rich content), 3 net-new packs (insurance 6, energy 6, government 6), healthcare+finance expansions (+12 medical/financial personas), 45 vertical personas total across 6 packs (up from 15 across 3), 5 research notes with standards sources, vertical risk profiles for EU AI Act, persona ID collision prevention script, cross-reference generator, 173 model cards regenerated, 20 audience tutorials, notebooks 26+27, vertical_explorer Streamlit app, guidebook ch25, book 3 ch11
v1.2.1: K8s Smoke + Vocabulary Plugins + Demo Expansion	Done	12,500+ total	Helm chart bumped to 0.2.0/appVersion 1.2.1, K8s smoke probe tuning + post-failure diagnostics, coverage ratchet start (94%), VocabularyProviderPlugin ABC + loader + athenium/mnemosyne plugins, 4 new subsystem notebooks (28-31) + full_stack demo + notebook 32, 16 audience subsystem tutorials, persona/archetype interaction atlas auto-generator
v1.2.2–v1.2.6: Coverage Ratchet	Done	13,000+ total	525 new coverage tests across 25 test files. Gate ratcheted: 94→95→96→97→98→98%. Targets: ai_client, action_engine, auditor, pipeline, runner, embeddings, requirements, feedback, dashboard, RAG, knowledge, federation, code_analyzer, observability, distiller, objectmodel, artifacts, plugins, demos, scaffold/cli (121 CliRunner tests)
v1.3.0: 10 External Project Scaffolds + Federation Expansion	Done	13,000+ total	10 constellation-codename projects (5 ontology + 5 metadata) scaffolded at /mnt/d/.../Ideate/{codename}_ext/ with full CTO/CONSTEL-pattern applications (FastAPI + CLI + persistence + ETL + seed data + tests). Federation namespace registry 11→21, vocabulary mappings 95→175, vocabulary provider plugins 2→12. fcc scaffold-vertical-project CLI command. Coverage gate 98→99% with ABC/Protocol ellipsis exclusion + advisory --cov-branch CI job
v1.3.1: Foundation — Branch Gate + Seed-Full + Stale Doc Refresh	Done	13,000+ total	Hard --cov-branch gate (was advisory in v1.3.0); make seed-full implementation with pattern-based 500-1000 entity expansion; STRATEGIC_ARCHITECTURE_REVIEW.md refreshed v0.8.0→v1.3.1; ROADMAP.md rewritten (Phase 16+ → v1.3.x plan); docs/roadmap/release-plan.md refreshed v1.0.3→v1.3.1 with 11 new release entries
v1.3.2: Publication Pipeline — Mermaid Rendering + Markdown Format	Done	13,000+ total	publications/scripts/render_mermaid.py renders 280 mermaid diagrams across 228 files to SVG + PNG (560 assets committed); Pandoc Lua filter safety net (mermaid-filter.lua); all 27 existing artifacts rebuild with embedded images (PDF→SVG via Typst, DOCX→PNG, EPUB/HTML→SVG); NEW Markdown publication format — consolidated (single file per book) + per-chapter variants with dual representation (fenced source + image refs); Makefile targets pub-diagrams, pub-markdown, pub-diagrams-clean; CI publications-check advisory job
v1.3.3: Content Expansion — Sample Prompts + Persona Evolution + Audience Docs	Done	13,000+ total	11 new sample prompt files (vertical insurance/energy/government + evaluation/compliance/docker/federation/scaffold + beginner/educator/research) → 35 total; persona evolution content: evolution-pathways.md + 6 archetype deep-dives (shepherd/quant/investigator/architect/storyteller/safety-engineer) + persona-evolution-workshop; guidebook chapter 26 (25→26); notebook 33 persona evolution explorer (32→33); 8 new audience docs (beginner first-30-min + common-mistakes, scientist experimental-design + statistical-analysis, educator grading-rubrics + lab-exercise-bank, professional cost-analysis + security-review); mkdocs.yml nav expanded ~29 entries

What's Next

v1.3.5.2 released (2026-04-13) — Third patch. Closes v1.3.5.1 deferred items and ships a broad content expansion: 5 demo addenda (*-v1352-addendum.md under docs/tutorials/demos/) covering WebSocket stress-test, distiller vocabulary evolution, cross-project FAIR audit, Sky-Parlour Phase-17 integration, full-stack OpenTelemetry trace; 10 new sample-prompt files (architecture teaching, persona evolution stages, plugin-dev gap-fill, guided-demo follow-ups); a first-class ecosystem alignment status table covering all 10 sibling projects; light-touch figure prose across 111 MkDocs-only Mermaid blocks. A new v1352 Showcase demo walks the 5 addendum flows end-to-end (built-in demo count: 20 → 21).

v1.3.5.1 released (2026-04-13) — Second patch of the v1.3.5.x series. Ships a brand-new docs/architecture/ tree: 5 classDiagrams, 6 sequenceDiagrams, 4 data-flow diagrams, 4 use-case diagrams (one per audience tier), a repo site map, an API-boundary matrix covering all 6 external interfaces, a plugin- boundary reference for all 11 plugin types, and a side-by-side "federated vs individual" comparison for both the object model and the knowledge graph. The 5 ADRs under docs/decisions/ are finally in the mkdocs nav (Reference → Architecture Decisions). Each audience tier has a new "See also" block bridging to the others and to the relevant architecture slice. Also: render_mermaid.py now disambiguates slugs by parent directory so the 20 overview.md siblings no longer collide on asset filenames (302 renders → 302 distinct PNG/SVG files, up from 281). Build-time guard in build_all.sh drops the redundant pre-render pass, saving ~10 minutes on WSL2.

v1.3.5 released (2026-04-13) — First patch. Main CI unblocked; publication pipeline fixed so DOCX/EPUB embed real PNG diagrams instead of blank boxes; 56 figures in publication source trees authored with unified "Figure N" captions + intros + followups; Quarto LOF/LOT enabled across PDF/DOCX/EPUB/HTML.

v1.4.0 released (2026-04-22) — Ecosystem pivot pillar 1 COMPLETE. Published all 10 constellation vertical projects as independent public GitHub repositories with their own release cycles, ending the pre-v1.4.0 prework pipeline (8 releases shipped in this session):

• Medical — ophiuchus_ext (HL7 FHIR Genomics + DICOM + IEC 62304) · serpens_ext (ICH E2B + EudraVigilance)
• Financial — libra_ext (FIBO, EDM Council) · crater_ext (ISO 20022 + BCBS 239)
• Insurance — scutum_ext (ACORD v2.11) · norma_ext (Solvency II + IFRS 17)
• Energy — pyxis_ext (IEC 61970 CIM) · vela_ext (IEC 62325 + CGMES + IEEE 1547)
• Government — columba_ext (DCAT-US 3.0) · caelum_ext (NIEM 6.0 + eIDAS 2.0)

Each repo is v0.2.0 signaling FCC v1.4.0 alignment; each carries the full public-release package from v1.3.11 (CODE_OF_CONDUCT, CONTRIBUTING, SECURITY, MIT LICENSE, CI/release workflows, issue + PR templates, release-checklist runbook). Helm chart bumped to 0.3.0. Pillars 2-5 (GraphRAG, real canonical seed data, i18n, real-time multi-user collaboration, advanced federation, performance optimization) defer to v1.4.1+.

v1.3.11 released (2026-04-22) — Seventh and final patch of the pre-v1.4.0 prework plan. Wires ecosystem-integration-tests 49 offline contract tests as an advisory CI gate. Extends the vertical- project scaffold with a --public-release flag emitting all 10 artifacts a constellation needs to stand up as an independent GitHub repo (CODE_OF_CONDUCT, CONTRIBUTING, SECURITY, LICENSE, CI/release workflows, issue + PR templates, release-checklist runbook). Dry-runs all 10 constellation tarballs via make pub-constellations. Bumps all 12 vocabulary_provider plugins to version 0.2.0 with FCC pin >=1.3.11. +19 new tests.

Pre-v1.4.0 plan COMPLETE (7 of 7 patches shipped in this session — v1.3.5.4 through v1.3.11).

Next: v1.4.0 final — publish the 10 constellation GitHub repos (Ophiuchus, Serpens, Libra, Crater, Scutum, Norma, Pyxis, Vela, Columba, Caelum). This is a hard-to-reverse public action: gh repo create for each, push release tarballs, enable Actions

• Issues + Discussions. Requires explicit user approval before proceeding.

v1.3.10 released (2026-04-22) — Sixth patch of the pre-v1.4.0 prework plan. Ships the full 9-audience canonical taxonomy the ecosystem has standardized on (beginners, developers, educators, scientists, architects, operators, auditors, knowledge-engineers, data-architects) — 25 new audience pages (~29,000 words), 4 new guidebook chapters (ch27-30) with 13 new diagrams, 5 new sample prompts (45 → 50), 5 new Jupyter notebooks (33 → 38), and a cross-link matrix connecting every audience to its related resources. Gracefully deprecates for-professionals/ + for-teams/ with MIGRATION.md stubs + banners; content preserved for external-link stability. Navigation reorganized across mkdocs.yml into canonical order; publications/_quarto.yml now carries 8 parts. No source changes; test suite + persona count unchanged.

Next: v1.3.11 — ecosystem-integration-tests CI gate + constellation scaffold for public release + v1.4.0-rc cut. Adds make ecosystem-check that runs the 49 offline contract tests from ecosystem-integration-tests, updates all 12 vocabulary provider plugins to match PAOM v3.2.0, and cuts the v1.4.0 release candidate.

v1.3.9 released (2026-04-22) — Fifth patch of the pre-v1.4.0 prework plan. FCC was designated patent-centric; this release ships the full draft patent package READY FOR COUNSEL REVIEW. Full docs/patent/ tree (12 files, 40,570 words): invention disclosure form, prior-art landscape (35 items reviewed — 0 direct overlaps, 2 Medium-risk items noted, 8 Low-risk), provisional specification with abstract + 20 claims (3 independent + 17 dependent), utility specification with 32 claims (5 independent + 27 dependent), FTO analysis + per-claim risk register, drawings pointer (4+1 UML from v1.3.7 re-used as FIG. 1-6). IP Evaluation Analyst introduced as the 104th core persona (governance 5 → 6). Quarto make pub-patent target builds the patent PDF + DOCX with DRAFT watermark. PAOM v1.4 preview plugin surface declared at fcc.plugins.v1_4_preview.* with 6-month deprecation policy. +6 new PAOM compat tests. Filing requires patent counsel engagement; outside plan scope.

Next: v1.3.10 — 9-audience documentation scale-up. FCC currently has 5 audience dirs (for-beginners, for-educators, for-scientists, for-professionals, for-teams); the ecosystem has standardized on 9 canonical audiences. v1.3.10 adds for-developers, for-architects, for-operators, for-auditors, for-knowledge-engineers, and for-data-architects with 20+ sample prompts, 10+ new Jupyter notebooks, and guidebook chapters 27-30.

Pre-v1.4.0 plan (7 patches total):

• v1.3.5.4 — Inventory + port realignment + carry-overs + JV L2 unblock (shipped 2026-04-22)
• v1.3.6 — Self-audit + fcc admin CLI + PlantUML pipeline + forensic auditor archetype (shipped 2026-04-22)
• v1.3.7 — 4+1 UML views + C4 context diagram + React /admin route + StressTestPanel.tsx (shipped 2026-04-22)
• v1.3.8 — 58-gate quality registry from PHOENIX + R.I.S.C.E.A.R. completeness + 12 open-science templates (shipped 2026-04-22)
• v1.3.9 — Patent infrastructure (provisional + utility + FTO) + PAOM v1.4-preview plugin surface (shipped 2026-04-22)
• v1.3.10 — 9-audience documentation scale-up (6 new audience dirs, 25 pages, 4 guidebook chapters, cross-link matrix) (shipped 2026-04-22)
• v1.3.11 — Ecosystem-integration-tests CI gate + constellation public-release scaffold + 12 plugin bumps + dry-run tarballs (shipped 2026-04-22)
• v1.4.0 — Ecosystem pivot pillar 1: 10 constellation repos published to GitHub as independent public releases (this release; pillars 2-5 defer to v1.4.1+)

Past releases:

• v1.1.0 — Docker + Compose stack, 6 AI providers
• v1.1.0.1 — Forward-fix patch
• v1.1.1 — Helm chart, multi-arch ghcr.io, vLLM provider
• v1.2.0 — Vertical schema extension + 6 industry packs (45 personas)
• v1.2.1 — K8s smoke + vocabulary plugins + demo expansion
• v1.2.2–v1.2.6 — Coverage ratchet (94% → 98%)
• v1.3.0 — 10 external project scaffolds + federation 11→21 + coverage to 99%
• v1.3.1 — Hard branch gate + seed-full + stale doc refresh
• v1.3.2 — Publication pipeline: mermaid rendering + Markdown format
• v1.3.3 — Content expansion: sample prompts, persona evolution, audience docs
• v1.3.4 — Hotfix: green CI + restored publications pipeline
• v1.3.5 — Publication pipeline quality + figure numbering + main CI unblock
• v1.3.5.1 — New architecture/UML docs tree (24 docs) + slug-collision fix + build-perf guard
• v1.3.5.2 — Full republish + 5 demo addenda + 10 sample prompts + ecosystem alignment + 111 light-touch figure annotations
• v1.3.5.3 — Coverage gate restored 98→99 + needs_render guard bug fixed; closes v1.3.5.x series
• v1.3.5.4 — Inventory + port realignment (10 → 19 projects, constellation ports 8300→8600) + vendored RC registries with CI drift test + carry-overs resolved
• v1.3.6 — Self-audit + admin CLIs + PlantUML pipeline + Forensic Auditor persona (103rd; governance 4→5)
• v1.3.7 — 4+1 UML views + C4 context diagram + REST admin API + React /admin route + StressTestPanel.tsx
• v1.3.8 — 58-gate quality registry from PHOENIX + R.I.S.C.E.A.R. strict gate + 12 OPEN-SCI templates + 3 PHOENIX Tier-1 gap closures
• v1.3.9 — Patent infrastructure (12 files, 40,570 words, 20 provisional + 32 utility claims) + IP Evaluation Analyst (104th persona) + PAOM v1.4-preview (this release)

Cross-Project Vocabulary Contracts (new in v1.2.1)

FCC owns YAML vocabulary mapping files at src/fcc/data/objectmodel/{namespace}_vocabulary_mappings.yaml that describe how dataclass shapes from sister projects (Athenium, Mnemosyne, AOME, CTO, Distiller, Sky-Parlour, ...) align with FCC concepts. v1.2.1 added the VocabularyProviderPlugin ABC and VocabularyMappingLoader so these contracts can be verified at runtime:

from fcc.objectmodel.vocabulary_loader import VocabularyMappingLoader
from fcc_athenium_plugin import AtheniumVocabularyProvider

loader = VocabularyMappingLoader()
store = loader.from_data_dir()  # Loads 175 mappings from 20 YAML files (v1.3.0)
result = loader.verify_against_plugin(store, AtheniumVocabularyProvider())
print(result)  # → "athenium: clean (8/8 mappings verified)"

The pattern is one-directional: FCC owns the mapping files (they describe the FCC target side of every cross-vocabulary relationship), sister projects own the source dataclass shapes, and the plugin packages (plugins/fcc-{codename}-plugin/) are thin adapters shipped by FCC. Sister projects remain pure-data dataclass libraries with no FCC dep. v1.3.0 expanded from 2 to 12 vocabulary provider plugins covering 20 namespaces and 175 mappings.

See src/fcc/plugins/base.py:VocabularyProviderPlugin, src/fcc/objectmodel/vocabulary_loader.py, and tests/integration/test_{codename}_vocabulary.py for the contract definition, loader, and integration tests.

See ROADMAP.md for details.

Documentation Site

The FCC documentation site is built with MkDocs Material and offers 8 audience-targeted navigation paths:

Audience	Entry Point
Beginners / Students	Getting Started → Tutorials
Developers	Developer Guide
Researchers	Specification
Practitioners	Tutorials → Customization
Decision Makers	For Decision Makers
Managers / Team Leads	For Teams
Content Strategists	Personas → Specification
Open Source Contributors	Developer Guide → Contributing

Interactive Learning

Jupyter Notebooks (19)

pip install -e .[notebooks]
jupyter notebook notebooks/

Level	Notebooks	Topics
Beginner	01-04	Personas, workflows, dimensions, plugins
Intermediate	05-08	Event bus, collaboration, actions, governance
Advanced	09-12	Object model, CTO integration, orchestration, custom personas
Expert	13-14	Protocol integration, JV governance
Expert	15-18	Semantic search, knowledge graphs, RAG pipeline, unified object model
Expert	19	Evaluation and compliance (CLEAR+ benchmarks, model cards, EU AI Act)

Streamlit Apps (24)

pip install -e .[streamlit]
streamlit run apps/streamlit/persona_explorer.py

App	Type	Description
learn_personas.py	Educational	Step-by-step persona exploration
persona_explorer.py	Production	Full-featured persona browser with search, compare, network
learn_workflows.py	Educational	Workflow concepts and BFS traversal
workflow_dashboard.py	Production	Workflow graph visualization and simulation
learn_object_model.py	Educational	Repository[T], facade, evolution stages
cto_concept_browser.py	Production	Concept/element/association browsing
mapping_explorer.py	Production	Cross-vocabulary mapping browser
learn_plugins.py	Educational	Plugin types and ecosystem
ecosystem_dashboard.py	Production	Plugin registry and dependency graph
collaboration_dashboard.py	Production	Session browser and scoring visualization
protocol_explorer.py	Production	Protocol integration browser and A2A/MCP explorer
demo_web_frontend.py	Demo	Web frontend guided demo
demo_distiller.py	Demo	Distiller bridge guided demo
demo_open_science.py	Demo	Open science guided demo
demo_skyparlour.py	Demo	Sky-Parlour guided demo
kg_explorer.py	Production	Knowledge graph explorer and visualizer
federated_dashboard.py	Production	Federation dashboard with namespace browser
tutorial_tracker.py	Production	Tutorial progress tracker
simulation_replay.py	Production	Simulation event replay and analysis
compliance_dashboard.py	Production	Compliance audit dashboard with multi-regulation view
benchmark_dashboard.py	Production	CLEAR+ benchmark results and regression tracking
compliance_audit_dashboard.py	Production	EU AI Act compliance audit visualization

FCC Guidebook (20 chapters)

A comprehensive guidebook in docs/guidebook/ covering all framework modules from introduction through evaluation, benchmarking, compliance, and governance, with 10 progressive labs and assessments.

FCC Book Series (3 books, 24 chapters)

Three books in docs/books/ provide deep coverage for different audiences: Understanding FCC (beginners), Building with FCC (developers), and Advanced FCC (researchers/architects).

CTO Object Model Integration

pip install -e .[cto]  # Optional — all notebooks/apps work without CTO

The fcc.objectmodel module provides generalized Repository[T], ModelFacade, and VocabularyMapping patterns abstracted from CTO. Uses typing.Protocol for structural subtyping — works with both FCC frozen and CTO slotted dataclasses.

Documentation

Quick Start & Guides

• GETTING_STARTED.md — Beginner-friendly onboarding: install, first query, first simulation
• QUICKSTART.md — 60-second getting started guide
• TUTORIALS_INDEX.md — Master catalog of all 19 notebooks, 24 apps, 15 demos, 20 chapters, 3 books
• SAMPLE_PROMPTS.md — 40 curated prompts across 4 difficulty tiers
• PERSONA_INTERACTION_GUIDE.md — Visual guide to persona chains and champion orchestration
• ARCHITECTURE_VISUAL_GUIDE.md — Visual architecture walkthrough with screenshots

Reference

• ARCHITECTURE.md — Detailed module walkthrough, data flow, and design decisions
• CONTRIBUTING.md — How to add personas, scenarios, templates, plugins, and more
• GLOSSARY.md — Comprehensive glossary of FCC terms and all 102 personas
• CHANGELOG.md — Release history and notable changes
• ROADMAP.md — Project roadmap with detailed Phase 15 wave specifications
• STRATEGIC_ARCHITECTURE_REVIEW.md — Cross-project alignment and canonical authority

Deep Dives

• Ecosystem Integration Guide — 10+ ecosystem project integration patterns
• Protocol Architecture — A2A, MCP, and AGENTS.md protocol design
• Phase 12-15 Strategic Plan — Wave-level roadmap through v1.0.0
• Learning Paths — Audience-specific guided routes
• Sample Prompts — 102 persona prompts, workflow orchestration, governance
• Protocol Quickstart — Protocol integration getting started guide
• Knowledge Federation Guide — Semantic search, KG, and RAG guide
• Book Series — 3 books, 24 chapters for all skill levels
• Architecture Decision Records — 5 ADRs documenting key design choices

Audience Guides

• For Beginners — Hello FCC tutorial, visual tour, essential glossary
• For Educators — 12-week curriculum, 2-day workshop, assessment strategies
• For Scientists — FAIR workflow, literature review agents, reproducibility
• For Professionals — Enterprise deployment, governance compliance, CI/CD integration

Contributing

Contributions are welcome! Whether you are fixing a bug, adding a persona, improving documentation, building a plugin, or proposing a new feature, we would appreciate your help. Please read the CONTRIBUTING.md guide for development setup, code style, testing requirements, and the pull request process.

License

MIT License. Copyright (c) INFORMATION COLLECTIVE, LLC. See LICENSE for details.