claude-ctx 0.7.1

Skill and agent recommendation system for Claude Code — knowledge graph, wiki, and intake quality gates

ctx — Skill, Agent, MCP & Harness Catalog

Watches what you develop, walks a 104,078-node graph across 92,815 skills, 464 agents, 10,786 MCP servers, and 13 cataloged harnesses, then recommends the highest-value skills, agents, and MCP servers for the current task. Custom/API/local model users get separate harness recommendations during ctx-init or ctx-harness-install. The shipped wiki includes 90,846 Skills.sh entries, 89,461 hydrated installable SKILL.md bodies, install commands, duplicate hints, and semantic graph edges. You approve what loads, installs, or gets adopted.

2026-04-29 updates.

• Added the curated find-skills workflow, backed by the canonical upstream install command npx skills add https://github.com/vercel-labs/skills --skill find-skills.
• Shipped 90,846 Skills.sh entries as first-class remote-cataloged skill nodes inside graph/wiki-graph.tar.gz and as graph/skills-sh-catalog.json.gz.
• Added 13 cataloged harnesses, including LangGraph, CrewAI, AutoGen, Google ADK, Semantic Kernel, Mastra, Pydantic AI, Haystack, OpenAI Agents SDK, LiteLLM, Langfuse, AgentOps, and text-to-cad.
• Added security/cyber review warnings to entity update reviews and documented the graph/wiki update procedure.

2026-04-27 updates.

• Imported mattpocock/skills — 21 opinionated skills (TDD, domain-model, ubiquitous-language, github-triage, caveman compression mode, write-a-skill, plus 15 more) deployed under the mattpocock- prefix. See imported-skills/mattpocock/ATTRIBUTION.md.
• Imported designdotmd.directory — 156 DESIGN.md files (visual identities: color tokens, typography, spacing, components + rationale) deployed under the designdotmd- prefix. These are reference designs an agent can read when asked to build a UI. See imported-skills/designdotmd/ATTRIBUTION.md.
• Skill total: 1,791 → 1,968 (+177).

Why it exists

• Discovery — with 92K+ skill nodes, 460+ agents, 10K+ MCP servers, and 13 cataloged harnesses, you can't possibly know which exist or which apply to your current work.
• Context budget — loading everything wastes tokens and degrades quality. You need the right 10–15 per session.
• Skill rot — skills you installed months ago and never used are cluttering context. Stale ones should be flagged automatically.

Install

pip install claude-ctx
ctx-init                    # terminal wizard: hooks, graph, model, harness goal
ctx-init --wizard           # force the same wizard from scripts/tests
ctx-init --model-mode skip  # non-interactive setup for automation
ctx-init --model-mode custom --model openai/gpt-5.5 --goal "build a CAD agent"

Optional extras: pip install "claude-ctx[embeddings]" for the semantic backend, pip install "claude-ctx[dev]" for the test toolchain.

Pre-built knowledge graph (optional)

A pre-built knowledge graph of 104,078 nodes and 2,960,189 edges ships as a tarball. The same tarball includes external-catalogs/skills-sh/catalog.json, 90,846 remote-cataloged Skills.sh skill pages under entities/skills/skills-sh-*.md, 89,461 hydrated installable Skills.sh SKILL.md files under converted/skills-sh-*/, and 13 cataloged harness pages under entities/harnesses/. Extract to get a ready-to-use ~/.claude/skill-wiki/:

# after `git clone` — or download graph/wiki-graph.tar.gz from the GitHub release
mkdir -p ~/.claude/skill-wiki
tar xzf graph/wiki-graph.tar.gz -C ~/.claude/skill-wiki/

Windows / Git-Bash / MSYS: pass --force-local so tar doesn't read the c: in the path as a remote host: tar --force-local xzf graph/wiki-graph.tar.gz -C ~/.claude/skill-wiki/. Linux/macOS users can ignore.

Use

After install, the ctx hooks integrate automatically with Claude Code's PostToolUse + Stop events. Typical flow:

ctx-scan-repo --repo .     # scan current repo and stack signals
ctx-scan-repo --repo . --recommend  # include skill/agent/MCP recommendations
ctx-agent-add --agent-path ./code-reviewer.md --name code-reviewer
ctx-harness-add --repo https://github.com/earthtojake/text-to-cad --tag cad
ctx-harness-install text-to-cad --dry-run   # inspect before cloning/running anything
ctx-harness-install text-to-cad --update --dry-run
ctx-harness-install text-to-cad --uninstall --dry-run
ctx-skill-quality list     # four-signal quality score for every skill
ctx-skill-quality explain python-patterns   # drill into a single skill
ctx-skill-health dashboard # structural health + drift detection
ctx-toolbox run --event pre-commit          # run a council on the current diff
ctx-monitor serve          # local dashboard: http://127.0.0.1:8765/

The ctx-monitor dashboard shows currently loaded skills, agents, MCP servers, and installed harness records. It provides load/unload buttons where ctx owns the live action, a cytoscape graph view (/graph?slug=…), the LLM-wiki entity browser (/wiki/<slug>), a filterable skills grid, a session timeline, an audit log viewer, and a live SSE event stream. Harnesses are visible in the dashboard loaded/wiki/graph views; harness install/update/uninstall actions stay in ctx-harness-install.

When ctx-skill-add, ctx-agent-add, ctx-mcp-add, or ctx-harness-add finds an existing entity, ctx prints a benefits/risks update review and skips replacement by default. Re-run with --update-existing to apply the catalog or local asset update after review.

Step-by-step entity onboarding: https://stevesolun.github.io/ctx/entity-onboarding/

Full docs, architecture, and every module: https://stevesolun.github.io/ctx/

License

MIT — see LICENSE.