wiki-query
Query pro-workflow wikis via SQLite FTS5 BM25 retrieval. Returns top-K passages with citations. Use when answering a question that any of the user's wikis already covers, when the user says "what does the wiki say about X", "ask wiki", "search wikis", or before drafting a new wiki page (to avoid duplication).
ソース情報
- リポジトリ
- rohitg00/pro-workflow
- ソースの最終更新活動
- 2026年5月9日 10:21
- 検出された SKILL.md の言語
- 英語
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- 2,940
- フォーク
- 300
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SKILL.md
ソースの指示 · 読み取り専用プレビュー- name
- wiki-query
- description
- Query pro-workflow wikis via SQLite FTS5 BM25 retrieval. Returns top-K passages with citations. Use when answering a question that any of the user's wikis already covers, when the user says "what does the wiki say about X", "ask wiki", "search wikis", or before drafting a new wiki page (to avoid duplication).
# Wiki Query
FTS5 BM25 retrieval over wiki pages indexed by `wiki-builder`.
## When to use
- Before writing any new wiki page → check coverage first
- User asks a domain question that may already live in a wiki
- "Ask the <slug> wiki: <question>"
- Verifying citations before quoting a claim
- `SessionStart` auto-load when prompt matches a known wiki topic
## Commands
```
node $SKILL_ROOT/scripts/query.js search "<query>" [--wiki <slug>] [--limit 10] [--json]
node $SKILL_ROOT/scripts/query.js related <slug> <rel-path> [--limit 5]
node $SKILL_ROOT/scripts/query.js show <slug> <rel-path>
```
`search` with no `--wiki` ranks across all wikis. `related` finds adjacent pages by reusing the page's title + summary as the query.
## Output
JSON-friendly. Each hit:
```
{
"page_id": 12,
"wiki_slug": "agent-memory",
"rel_path": "wiki/concepts/episodic-memory.md",
"title": "Episodic Memory",
"snippet": "... [time-stamped] traces, distinct from semantic ...",
"rank": -3.21
}
```
Lower (more negative) rank = better BM25 match.
## Citing back
Every wiki hit must be cited as:
```
[wiki:<slug>] <title> — `<rel_path>`
```
Do not paraphrase a hit without showing the source.
## SessionStart integration
When `pro-workflow`'s SessionStart hook detects wiki-relevant terms in the user prompt, it runs `query.js search "<prompt>" --limit 3` and injects top hits into the session as a hint:
```
[wiki-query] 3 relevant pages:
- agent-memory · wiki/concepts/episodic-memory.md
- agent-memory · wiki/papers/park-2023-generative-agents.md
- ...
```
Helps Claude recall existing knowledge instead of redoing research.
## Limits (Phase 3.3.0)
- BM25 only. Vector search arrives 3.3.2 with sqlite-vec.
- No re-ranking. MMR diversity arrives with the research loop in 3.3.1.
- Snippet window is 16 tokens around match — tune via `--snippet-len`.
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