Geepers
Multi-agent orchestration system with specialized Claude Code plugin agents and skills.
Installation
As Claude Code Plugin (recommended)
In Claude Code CLI:
# 1. Add the marketplace (one-time)
/plugin marketplace add lukeslp/geepers
# 2. Install the plugin
/plugin install geepers@geepers-marketplace
Manual Installation (skills only)
git clone https://github.com/lukeslp/geepers.git ~/geepers
mkdir -p ~/.claude/skills
for zip in ~/geepers/skills/zips/*.zip; do
name=$(basename "$zip" .zip)
mkdir -p ~/.claude/skills/$name
unzip -o "$zip" -d ~/.claude/skills/$name
done
What's Included
70 Specialized Agents
Markdown-defined agents for Claude Code that provide specialized workflows:
| Category | Agents | Purpose |
|---|---|---|
| Master | geepers_conductor | Intelligent routing to specialists |
| Checkpoint | scout, repo, status, snippets, orchestrator | Session maintenance |
| Deploy | caddy, services, validator, orchestrator | Infrastructure |
| Quality | a11y, perf, api, deps, critic, security, testing, orchestrator | Code audits |
| Frontend | css, design, motion, typescript, uxpert, webperf, orchestrator | UI/UX development |
| Fullstack | db, react, orchestrator | End-to-end features |
| Hive | builder, planner, integrator, quickwin, refactor, orchestrator | Task execution |
| Research | data, links, diag, citations, fetcher, searcher, orchestrator | Data gathering |
| Datavis | color, data, math, story, viz, orchestrator | Data visualization |
| Games | game, gamedev, godot, orchestrator | Game development |
| Corpus | corpus, corpus_ux, orchestrator | Linguistics/NLP |
| Web | flask, express, orchestrator | Web applications |
| Python | pycli, orchestrator | Python projects |
| Standalone | api, scalpel, dashboard, canary, janitor, docs, git, todoist, humanizer | Specialized tasks |
| System | help, onboard, diag | System utilities |
Packaged Skills
All agents are packaged as Claude Code skills in skills/zips/ (39 zips):
| Skill | Type | Description |
|---|---|---|
| conductor | Master | Top-level orchestrator routing to all agents |
| checkpoint | Orchestrator | Session boundaries, routine maintenance |
| deploy | Orchestrator | Deployment, infrastructure, Caddy |
| quality | Orchestrator | Code audits, a11y, perf, security, testing |
| frontend | Orchestrator | CSS, TypeScript, motion, design, UX |
| fullstack | Orchestrator | Backend + frontend end-to-end |
| hive | Orchestrator | Build from plans, execute backlogs |
| research | Orchestrator | Information gathering, API data |
| datavis | Orchestrator | D3.js, Chart.js, data visualization |
| datavis-agents | Orchestrator | Individual datavis specialist agents |
| games | Orchestrator | Game dev, Godot, gamification |
| corpus | Orchestrator | Linguistics, NLP, corpus work |
| web-dev | Orchestrator | Flask + Express web applications |
| python-dev | Orchestrator | Python projects, CLI tools |
| server-deploy | Standalone | dr.eamer.dev service management |
| engineering | Standalone | System architecture, full-stack code |
| executive | Standalone | Strategic planning, cross-team coordination |
| finance | Standalone | Monetization, financial modeling |
| product | Standalone | Product strategy, PRDs |
| api-design | Standalone | REST API design review |
| canary | Standalone | Quick health checks |
| dashboard | Standalone | System monitoring dashboard |
| docs | Standalone | Documentation generation |
| git-ops | Standalone | Git operations, conflict resolution |
| git-hygiene-guardian | Standalone | Git hygiene enforcement |
| janitor | Standalone | Project cleanup |
| scalpel | Standalone | Surgical code edits |
| todoist | Standalone | Todoist task management |
| humanize | Standalone | Remove AI writing indicators from documentation |
| system-diag | Standalone | Full system diagnostics |
| system-help | Standalone | Agent discovery and help |
| system-onboard | Standalone | Project onboarding |
| swarm | Research | Parallel multi-domain search |
| geepers-cascade | Research | Hierarchical deep research |
| geepers-publish | Workflow | Publishing and release workflow |
| geepers-team | Workflow | Team coordination workflow |
| data-fetch | MCP | Universal data fetching server |
| mcp-orchestration | MCP | Multi-agent orchestration server |
| vision | MCP | Alt text and image analysis |
Skill Structure
skills/
├── source/ # Skill source directories
│ ├── conductor/
│ │ └── SKILL.md
│ ├── quality/
│ │ ├── SKILL.md
│ │ └── agents/ # Sub-agent definitions
│ │ ├── geepers_a11y.md
│ │ ├── geepers_critic.md
│ │ └── ...
│ └── ...
├── zips/ # Packaged skill zips
├── rebuild-zips.sh # Rebuild all zips from source
└── package_all_skills.py # Generate skills from agents
Usage
Agents are available via Claude Code's Task tool with subagent_type:
# Quick reconnaissance
Task with subagent_type="geepers_scout"
# Infrastructure changes
Task with subagent_type="geepers_caddy"
# End-of-session cleanup
Task with subagent_type="geepers_orchestrator_checkpoint"
# Full-stack development
Task with subagent_type="geepers_orchestrator_fullstack"
# Frontend work
Task with subagent_type="geepers_orchestrator_frontend"
Agent Categories
See AGENT_DOMAINS.md for the full routing guide.
Orchestrators coordinate multiple specialists:
geepers_conductor- Master routergeepers_orchestrator_frontend- CSS, React, design, motiongeepers_orchestrator_fullstack- Backend + frontendgeepers_orchestrator_hive- Build from plans and TODOsgeepers_orchestrator_quality- Audits and reviewsgeepers_orchestrator_deploy- Infrastructure changesgeepers_orchestrator_checkpoint- Session maintenancegeepers_orchestrator_research- Data gatheringgeepers_orchestrator_datavis- Visualizationgeepers_orchestrator_games- Game developmentgeepers_orchestrator_corpus- Linguistics/NLPgeepers_orchestrator_web- Web applicationsgeepers_orchestrator_python- Python projects
Related: MCP-Dreamwalker
For programmatic orchestration with LLM providers and data clients, see MCP-Dreamwalker:
- Dream Cascade - Hierarchical 3-tier research orchestration
- Dream Swarm - Multi-domain parallel search
- 12 LLM Providers - Anthropic, OpenAI, xAI, Gemini, Mistral, Cohere, etc.
- 17 Data Clients - Census, arXiv, GitHub, NASA, Wikipedia, etc.
Building Skills
# Regenerate all SKILL.md files from agent definitions
python3 skills/package_all_skills.py
# Rebuild all zip files
bash skills/rebuild-zips.sh
# Install to Claude Code
for zip in skills/zips/*.zip; do
name=$(basename "$zip" .zip)
mkdir -p ~/.claude/skills/$name
unzip -o "$zip" -d ~/.claude/skills/$name
done
License
MIT License - Luke Steuber
Release files for conductor-geepers 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| conductor_geepers-1.0.1.tar.gz | 273.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| conductor_geepers-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:418.4 kB
Release files / conductor_geepers-1.0.1.tar.gz
| Download URL | conductor_geepers-1.0.1.tar.gz |
|---|---|
| Size | 273.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.12.3
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Release files / conductor_geepers-1.0.1-py3-none-any.whl
| Download URL | conductor_geepers-1.0.1-py3-none-any.whl |
|---|---|
| Size | 144.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
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