wiki-query
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ChineseWiki Query
Wiki 查询
FTS5 BM25 retrieval over wiki pages indexed by .
wiki-builder对由 索引的 wiki 页面执行 FTS5 BM25 检索。
wiki-builderWhen to use
使用时机
- 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
- auto-load when prompt matches a known wiki topic
SessionStart
- 编写任何新 wiki 页面之前 → 先检查覆盖范围
- 用户提出可能已存在于某个 wiki 中的领域问题
- “询问 <slug> wiki:<question>”
- 引用某项声明之前验证来源
- 当提示词与已知 wiki 主题匹配时,通过 自动加载
SessionStart
Commands
命令
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--wikirelatednode $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>未指定 的 会对所有 wiki 进行排名。 通过复用页面的标题和摘要作为查询来查找相邻页面。
--wikisearchrelatedOutput
输出
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.
输出易于接入 JSON。每个命中项如下:
{
"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
}rank 越低(越负),BM25 匹配效果越好。
Citing back
引用方式
Every wiki hit must be cited as:
[wiki:<slug>] <title> — `<rel_path>`Do not paraphrase a hit without showing the source.
每个 wiki 命中项都必须按以下格式引用:
[wiki:<slug>] <title> — `<rel_path>`不得在不展示来源的情况下转述命中内容。
SessionStart integration
SessionStart 集成
When 's SessionStart hook detects wiki-relevant terms in the user prompt, it runs and injects top hits into the session as a hint:
pro-workflowquery.js search "<prompt>" --limit 3[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.
当 的 SessionStart hook 检测到用户提示词中与 wiki 相关的词项时,会运行 ,并将排名最高的命中项作为提示注入会话:
pro-workflowquery.js search "<prompt>" --limit 3[wiki-query] 3 relevant pages:
- agent-memory · wiki/concepts/episodic-memory.md
- agent-memory · wiki/papers/park-2023-generative-agents.md
- ...这有助于 Claude 回忆已有知识,而不是重复开展研究。
Limits (Phase 3.3.0)
限制(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
- 仅支持 BM25。Vector search 将在 3.3.2 版本中通过 sqlite-vec 推出。
- 不支持 re-ranking。MMR diversity 将随 3.3.1 版本中的 research loop 一同引入。
- snippet 窗口为匹配内容周围的 16 个 token——可通过 调整。
--snippet-len