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wiki-query
Fast, read-only, index-first llm-wiki queries for OpenCode and compatible instruction-file harnesses.
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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Fast, read-only, index-first llm-wiki queries for OpenCode and compatible instruction-file harnesses.
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
LLM-compiled knowledge base manager. Activates when user works with wiki directories, mentions knowledge base management, asks knowledge questions in a project with a wiki, wants to ingest/import/compile/query/lint/audit knowledge, collect/catalog discoverable artifacts and examples, track inventory, manage source queues, candidates, corpora, entities, watch lists, dataset manifests, large datasets, or data that is too big for the wiki, archive old topic wikis, capture or rehydrate agent session context, curate user feedback, or uses /wiki commands. Also activates when user says "wiki", "knowledge base", "ingest", "import wiki", "ingest collection", "collect", "catalog", "curate", "find all", "compile wiki", "add to wiki", "search wiki", "audit", "librarian", "scan quality", "article quality", "content review", "output drift", "inventory", "ingest queue", "source queue", "candidate list", "watch list", "backlog", "dataset", "large data", "data registry", "dataset manifest", "archive wiki", "archive topic", "r
Fast, explicit, read-only llm-wiki queries for Codex. Use for factual lookups, evidence checks, lists, and inventory status without wiki writes.
LLM-compiled knowledge base manager for Codex. Use it to initialize, ingest, import source collections, collect catalogs, track inventory, index datasets, archive old topics, compile, query, lint, audit, research, plan, capture or rehydrate agent session context, and generate outputs from topic-scoped wikis. Activates when the user mentions wiki workflows, knowledge-base management, ingestion, collection ingestion, import wiki, collect, catalog, curate, find all, inventory, source queue, candidate list, watch list, backlog, dataset, large data, data registry, dataset manifest, compilation, querying, linting, audit, research, librarian, scan quality, article quality, content review, output drift, provenance, archive wiki, archive topic, restore wiki, session capture, capture context, rehydrate, resume from session, implementation plan, or uses /wiki-style shorthand in a repo with .wiki/, ~/wiki/, or a configured hub path.
Fast, read-only, index-first queries over an llm-wiki with bounded file reads, exact citations, and honest evidence gaps.
LLM-compiled knowledge base manager for OpenCode. Use it to initialize, ingest, import source collections, collect catalogs, track inventory, index datasets, archive old topics, compile, query, lint, audit, research, plan, capture or rehydrate agent session context, and generate outputs from topic-scoped wikis. Activates when the user mentions wiki workflows, knowledge-base management, ingestion, collection ingestion, import wiki, collect, catalog, curate, find all, inventory, source queue, candidate list, watch list, backlog, dataset, large data, data registry, dataset manifest, compilation, querying, linting, audit, research, librarian, scan quality, article quality, content review, output drift, provenance, archive wiki, archive topic, restore wiki, session capture, capture context, rehydrate, resume from session, lessons learned, implementation plan, or uses wiki-related shorthand in a repo with .wiki/, ~/wiki/, or a configured hub path.
| name | wiki-query |
| description | Fast, read-only, index-first llm-wiki queries for OpenCode and compatible instruction-file harnesses. |
Use this protocol for fast, read-only questions and inventory lookups. It is the canonical query profile shared by Claude, Codex, Pi, local models, and the portable fallback.
node_modules,
or every sibling topic.--local, or the current project contains .wiki/,
use <cwd>/.wiki and read .wiki/_index.md first.~/.config/llm-wiki/config.json. Expand only a leading ~
in hub_path. If unavailable, try resolved_path, then ~/wiki.<hub>/_index.md and <hub>/wikis.json. Choose exactly one
active topic from its title, aliases, summary, or an explicit --wiki NAME.
Resolve registry paths relative to the hub; if stale, try
<hub>/topics/NAME._index.md, then only the relevant branch
index: wiki/_index.md, raw/_index.md, inventory/_index.md,
datasets/_index.md, or output/_index.md.If topic choice is genuinely ambiguous, list at most three index-derived candidates and ask one short question instead of scanning multiple topics.
wiki/ articles are the default factual layer.raw/ when the user requests primary evidence or compiled coverage is
insufficient.inventory/ is tracking state, not factual evidence, except for questions
about candidates, status, priority, or next actions.