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AI EngineeringPython

Knowledge Graph

by jdrhyne

Knowledge Graph is an AI Engineering skill for Claude Code, published by jdrhyne in agent-skills.

241 stars29 forkson jdrhyne/agent-skillsAdded 2026/09/02Repository updated 2026/08/30
agent-skillsagentic-aiai-agentsautomationclaude-codeclawdbotcodexcursordeveloper-toolsgemini-cligithub-copilotllm-agentsmcpopenclawprompt-engineeringprompts
Install in seconds
Install Knowledge Graph
Copy Knowledge Graph into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/jdrhyne/agent-skills/tree/main/clawdbot/knowledge-graph ~/.claude/skills/knowledge-graph

Requires Node.js. Downloads this skill only β€” not the rest of the repository β€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/jdrhyne/agent-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
clawdbot/knowledge-graph/SKILL.md in jdrhyne/agent-skills
Installs to
~/.claude/skills/knowledge-graph
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering β€” 2631 skills

What Knowledge Graph does

Knowledge Graph maintains an append-only entity store with atomic facts and short summaries. Use it to remember durable context about people, companies, and projects across sessions.

Knowledge Graph is cataloged under AI Engineering on DirSkills. Knowledge Graph comes from a repository tagged agent-skills, agentic-ai, ai-agents, automation and claude-code.

Documentation

README

Knowledge Graph Skill

Maintain a lightweight, append-only entity graph that compounds durable facts across sessions.

When to Use

  • Extract durable facts from recent work or conversation history
  • Rewrite entity summaries from active facts
  • Answer "what do we know about X?" without reopening large transcripts
  • Keep shared context for people, companies, and projects inside the workspace

Data Model

Store the graph under:

<workspace>/life/areas/
  people/<slug>/
  companies/<slug>/
  projects/<slug>/

Each entity folder should contain:

  • summary.md for the short, current snapshot
  • facts.jsonl for atomic, append-only facts

Use one JSON object per line:

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Knowledge Graph

  • What else does jdrhyne publish alongside Knowledge Graph?

    Knowledge Graph is one of 25 skills that DirSkills catalogs from jdrhyne/agent-skills, the repository it ships in. Its siblings there include Auto Updater, Autoresearch Loop and Codex. Each one is a separate skill with its own page in this directory, installs the same way Knowledge Graph does, and is maintained by jdrhyne in that same repository. The rest of the collection is listed on the jdrhyne/agent-skills page.

  • How does Knowledge Graph compare to other AI Engineering skills?

    Knowledge Graph ranks #2386 by stars among the 2631 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Knowledge Graph against them. Open each page to compare what they document and how they install.

More from jdrhyne/agent-skills

Knowledge Graph is one of 25 skills cataloged on DirSkills from jdrhyne/agent-skills.

See all 25 skills β†’