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Query the knowledge graph for answers. Searches knowledge entities, claims, sources, and cross-references with code. Cites specific graph nodes, not training data. Triggers on: "what do we know about", "query knowledge", "check the wiki", "knowledge search".
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
End-to-end MCP server verification — spawn stdio server, list tools, invoke each one, verify response shape.
Set up a demo session — pick a sample repo, index it, open web UI, prep the narrative.
Run full lint + format + test + frontend build. Pre-commit / pre-release check.
Cut a release — bump version, update CHANGELOG, tag, push, create GitHub release, install local binaries.
Sprint / project status from knowledge graph. Show what's planned, in-progress, done.
Audit MCP tool set — count, descriptions, consolidation candidates, budget compliance.
| name | wiki-query |
| description | Query the knowledge graph for answers. Searches knowledge entities, claims, sources, and cross-references with code. Cites specific graph nodes, not training data. Triggers on: "what do we know about", "query knowledge", "check the wiki", "knowledge search". |
| allowed-tools | mcp__codescope__knowledge_search mcp__codescope__semantic_search mcp__codescope__explore mcp__codescope__find_callers mcp__codescope__impact_analysis Read |
| user-invocable | true |
| argument-hint | <question> |
Answer the user's question using ONLY the knowledge graph. Cite specific nodes. If the knowledge graph doesn't have the answer, say so — don't fall back to training data.
Search knowledge graph first:
knowledge_search(query: "[user's question]")
If knowledge results reference code, drill into it:
find_callers(function_name: "[referenced function]")
explore(entity_name: "[referenced entity]")
If knowledge graph is empty for this topic, say:
"No knowledge found on this topic. Run
/autoresearch [topic]or/wiki-ingest [source]to add it."
## [Question rephrased as title]
[Answer in 2-5 paragraphs]
### Sources
- [[Entity/Concept name]] — [what it contributed to the answer]
- [[Source name]] — [key claim from this source]
### Related Code
- `function_name` (file.rs:42) — [how it relates]
### Confidence: [high/medium/low]
[Why this confidence level — how many sources, any contradictions]