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graph-context
Load codebase context from knowledge graph instead of scanning raw files
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Load codebase context from knowledge graph instead of scanning raw files
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Manage OMA skills — list, add, remove, search, and edit skills
Socratic deep interview with mathematical ambiguity gating before autonomous execution
Remove AI slop - low-quality, generic, or verbose content. Use for "clean up", "remove fluff", and "make concise".
Consensus planning - agree before executing. Use for "ralplan", "consensus", "pre-execution review".
Setup routing and environment configuration. Use for "setup", "configure", and "get started".
N coordinated agents on shared task list using Claude Code native teams, with git worktree isolation per executor
| name | graph-context |
| description | Load codebase context from knowledge graph instead of scanning raw files |
| trigger | auto (injected by session-start when graph provider is configured) |
A knowledge graph has been built for this project. Use it instead of scanning raw files.
If graphwiki-out/ exists:
graphwiki path <nodeA> <nodeB> for structural queries (0 extra tokens)| Command | Use When |
|---|---|
graphwiki query "<question>" | General questions about the codebase |
graphwiki path <nodeA> <nodeB> | How two modules/concepts connect |
graphwiki status | Check graph health and drift score |
graphwiki lint | Find contradictions in the graph |
graphwiki build . --update | After changing files (incremental) |
graphwiki build . --resume | Resume a crashed/interrupted build |
graphwiki ingest <file> | Add a new file to the graph |
graphwiki benchmark "<question>" | Measure token cost of a query |
raw/ (immutable source files)graphwiki-out/ (auto-generated output)If graphify-out/ exists:
| Command | Use When |
|---|---|
/graphify query "<question>" | General codebase questions (BFS) |
/graphify query "<question>" --dfs | Trace a specific path (DFS) |
/graphify path "<nodeA>" "<nodeB>" | Shortest path between two concepts |
/graphify explain "<node>" | Understand what a specific node does |
/graphify . | Full rebuild of the knowledge graph |
/graphify . --update | Incremental rebuild (changed files only) |
/graphify . --wiki | Generate agent-crawlable wiki output |
/graphify add <url> | Fetch and add a URL to the graph |
/graphify . --watch | Auto-rebuild on file changes |
/graphify . --mcp | Start MCP stdio server for agent access |
graphify-out/ (auto-generated output)graphify-out/graph.json is for programmatic traversal only. Use query/path commands.The entire point of using a graph provider is to avoid re-reading raw source files every session. A 50-file codebase costs ~100K+ tokens to read raw. The graph reduces this to ~2-5K tokens per query.
Do NOT fall back to reading raw files unless the graph explicitly lacks the information needed.
graphwiki is included as an optional dependency of OMA. If not available, install manually: npm install -g graphwiki