Watches what you develop, walks a graph that combines 92,815 skills, 464 agents, 10,786 MCP servers, and cataloged harnesses, and recommends the right bundle on the fly. The skill count includes 1,969 curated ctx skills plus 90,846 remote-cataloged Skills.sh skill nodes with upstream npx skills install instructions, duplicate hints, and metadata-only quality/security signals. You approve what loads, installs, or gets adopted. Powered by a Karpathy LLM wiki with persistent memory that gets smarter every session.

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 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).

• Discovery — with 92K+ skill nodes, 460+ agents, 10K+ MCP servers, and 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.

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.

A pre-built knowledge graph of 104,065 nodes and 1,030,831 edges ships as a tarball. The same tarball includes external-catalogs/skills-sh/catalog.json and 90,846 remote-cataloged Skills.sh skill pages under entities/skills/skills-sh-*.md. 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.

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/harness 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, and MCP servers 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. Dashboard harness exposure is not yet present; harnesses are cataloged and recommended through the CLI/API surfaces.

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/

MIT — see LICENSE.