L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Documents · SKILL.md

graphify

graphify

Use Graphify to build, query, export, and integrate code/document knowledge graphs for AI coding assistants and MCP workflows.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: graphify description: "Use Graphify to build, query, export, and integrate code/document knowledge graphs for AI coding assistants and MCP workflows." disable-model-invocation: true metadata: disco-role: operating license: NOASSERTION

Graphify

Use this repo skill when a user names Graphify or graphifyy, works with graphify-out/, wants a code/document knowledge graph, asks how to query graph.json, installs Graphify into an AI coding assistant, or needs Graphify exports, hooks, MCP serving, or extractor troubleshooting.

Graphify's public distribution is graphifyy; the import package and CLI are graphify. The normal graph output directory is graphify-out/ with graph.json, GRAPH_REPORT.md, and optional graph.html, wiki, export, cache, manifest, and lesson artifacts.

First checks

# Public install identity.
python -m pip show graphifyy || true
python - <<'PY'
import graphify
print('graphify import ok')
PY

# CLI check. Use python -m graphify when the console command is not on PATH.
graphify --help || python -m graphify --help

For a self-contained preflight that does not touch a repository, run scripts/check_graphify_install.py. Read references/package-overview.md for package concepts, graph artifacts, and optional surfaces.

Route map

User intentRead
Build, update, watch, or validate graphify-out/ from local code/docs/media; choose --code-only vs semantic extraction; handle .graphifyignore, cache, manifest, cluster-only, or addgraph-building
Answer from an existing graph with query, path, explain, affected, god-nodes, work-memory lessons, or MCP stdio/HTTP servingquery-navigation
Install/uninstall Graphify assistant skills, always-on guidance, platform hooks, Git hooks, strict mode, or inspect platform artifacts safelyagent-integration
Export graph artifacts to HTML/wiki/Obsidian/SVG/GraphML/Cypher, merge multiple graphs, clone GitHub repos, use PR helpers, or push to Neo4j/FalkorDB only after approvalexports-integrations
Diagnose ignored file types, missing optional parsers, AST extractor/resolver failures, node-ID/source-file normalization, zero-node sources, or maintainer extractor changesextractor-troubleshooting

If a request spans several routes, preserve the natural order: build/update the graph, then query it, then export or install always-on guidance as needed.

Cross-cutting references

Operating defaults

  • Prefer graphify query, graphify path, or graphify explain before grepping raw files when a fresh graphify-out/graph.json exists.
  • Use graphify extract <path> --code-only for local code graphs that should not require provider keys or semantic extraction.
  • Use explicit optional extras only when the selected workflow needs them; do not install graphifyy[all] by default.
  • Treat database pushes, provider API calls, Google Workspace auth, video/model downloads, GitHub PR triage, and HTTP MCP exposure beyond localhost as side-effecting or credentialed operations that need explicit user approval.
  • Do not delete, purge, or force-overwrite graphify-out/ artifacts just because they are dirty or stale. Prefer update/rebuild routes and explain the overwrite risk first.
  • Do not rely on the original Graphify source checkout. This runtime skill bundles the needed references and scripts.

Staleness check

Read references/repo-provenance.md before deciding whether this skill matches a newer Graphify checkout. If the package version, public CLI entry points, optional extras, or source evidence paths changed, refresh this repo skill before making detailed claims.

Skills enregistrées