Skip to main content

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

Project description

ctx — Skill & Agent Recommendation for Claude Code

License: MIT Python 3.11+ PyPI Tests Docs

Watches what you develop, walks a knowledge graph of 1,769 skills and 443 agents, 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.

Why it exists

  • Discovery — with 1,700+ skills and 400+ agents, you can't possibly know which exist or which apply to your current repo.
  • 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

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

Use

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

ctx-scan-repo              # scan current repo, surface recommended skills/agents
ctx-skill-quality list     # see the 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 review     # run a council of skills + agents on the current diff

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

License

MIT — see LICENSE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

claude_ctx-0.5.0rc5.tar.gz (205.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

claude_ctx-0.5.0rc5-py3-none-any.whl (238.8 kB view details)

Uploaded Python 3

File details

Details for the file claude_ctx-0.5.0rc5.tar.gz.

File metadata

  • Download URL: claude_ctx-0.5.0rc5.tar.gz
  • Upload date:
  • Size: 205.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for claude_ctx-0.5.0rc5.tar.gz
Algorithm Hash digest
SHA256 953462e29ddc9e506d437515d184afbb9750acd7c1cf3248acc529daeb3203ae
MD5 d2253786a6989a71b5ae84b62ccc9e18
BLAKE2b-256 441c739384302ba378fe7c4694dade9c377bbaf7c9ab0fb118f06d130d2ebfc4

See more details on using hashes here.

Provenance

The following attestation bundles were made for claude_ctx-0.5.0rc5.tar.gz:

Publisher: publish.yml on stevesolun/ctx

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file claude_ctx-0.5.0rc5-py3-none-any.whl.

File metadata

  • Download URL: claude_ctx-0.5.0rc5-py3-none-any.whl
  • Upload date:
  • Size: 238.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for claude_ctx-0.5.0rc5-py3-none-any.whl
Algorithm Hash digest
SHA256 3439955ba00849f13c185cbfb74ea2ee76aaf1c4bea805a81f9e78b57dde5aca
MD5 f07ef14b3776155f766b5b6ce4a1aa69
BLAKE2b-256 2976b7cfeb56e5a95c5f57cb572ba043d062e2736a0db2a39093b7c2f0e7bb82

See more details on using hashes here.

Provenance

The following attestation bundles were made for claude_ctx-0.5.0rc5-py3-none-any.whl:

Publisher: publish.yml on stevesolun/ctx

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page