
Graphify
When you need a durable knowledge graph of a codebase or mixed corpus that survives beyond the current chat session, this is the routing layer that picks the right execution mode: assistant-native install, local Python build, incremental refresh, query-only follow-up, or structural fallback for markdown-heavy repos. It scopes the corpus before runtime explodes, produces GRAPH_REPORT.md and graph.json artifacts, and knows when to hand off search-only work to codebase-search or wiki work to llm-wiki. The real job is mode classification and honest fallback choice, not dumping every Graphify feature. Works best with Python 3.10+ and the graphifyy PyPI package, supports Claude, Codex, Gemini, and OpenCode assistant installs.
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- 157
- skills.sh installs
- 191
- GitHub stars
- 22
- last updated
- Jun 3, 2026
Install
$ npx -y skills add akillness/oh-my-skills --skill graphify --agent claude-codeInstalls into .claude/skills of the current project.
Files
Graphify
Graphify is a CLI. The primary path for every request in this skill is a real
graphify … command, not a slash command and not an improvised Python script.
Use this skill when the main question is "which graphify command answers this, over what scope, and what should we read next?"
The job is to:
- classify the request into one graph packet,
- choose one CLI mode,
- scope the corpus before runtime or token cost explodes,
- report artifacts and any degraded output truthfully,
- route search-only, wiki-only, or project-memory work to the right neighboring skill.
Read references/cli-command-map.md for the full command surface with real flags. Read references/install-matrix.md before installing anything — especially for jeo / jeopi / gjc / opencode. Read references/mode-packets-and-route-outs.md for an unfamiliar request, and references/build-and-fallback-recipes.md when native extraction is weak.
CLI quickstart
Sponsors
Details
- Repository
- github.com/akillness/oh-my-skills
- First seen
- Jun 3, 2026
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