by stevesolun
Real-time skill and agent recommendation engine for Claude Code - watches what you develop, walks a knowledge graph of 1,768 skills and 443 agents, and suggests the right ones on the fly. Powered by a Karpathy LLM wiki with persistent memory.
# Add to your Claude Code skills
git clone https://github.com/stevesolun/ctxWatches what you develop, walks a knowledge graph of 1,789 skills and 464 agents (2,253 nodes, 454K edges, 93 communities), and recommends the right ones on the fly — you decide what to load and unload. Powered by a Karpathy LLM wiki with persistent memory that gets smarter every session.
pip install claude-ctx
ctx-init --hooks # one-shot setup: directories, hooks, starter toolboxes
Optional extras: pip install "claude-ctx[embeddings]" for the semantic backend, pip install "claude-ctx[dev]" for the test toolchain.
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A pre-built knowledge graph of 2,253 nodes and 454K edges ships as a tarball. 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/
After install, the ctx hooks integrate automatically with Claude Code's PostToolUse + Stop events. Typical flow:
ctx-scan-repo --repo . # scan current repo, surface recommended skills/agents
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 with load/unload buttons, 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.
Full docs, architecture, and every module: https://stevesolun.github.io/ctx/
MIT — see LICENSE.