wiki-query

Answer a question from the LLM wiki's accumulated knowledge. Use when the user asks a question that plausibly draws on the wiki ("what does the wiki say about X", "/wiki-query X", "compare Y and Z from the wiki", "summarize what we know about ..."), or asks to produce a standalone artifact (comparison, timeline, slide deck) grounded in existing pages. Reads the index and relevant pages, follows wikilinks, cites specific pages, distinguishes sourced facts from inferences, and — when the answer is reusable — files it as a new page with proper frontmatter and a log entry. Does not commit to git.

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Install skill "wiki-query" with this command: npx skills add foundry-works/skillsmp-foundry-works-foundry-works-wiki-query

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Related Skills

Related by shared tags or category signals.

Security

wiki-ingest

Ingest a source into the LLM wiki, or re-audit a past ingest. Use when the user asks to ingest a source ("ingest the source at raw/foo.pdf", "/wiki-ingest raw/foo.md", "add this paper to the wiki") or to audit a past ingest ("/wiki-ingest --audit-only <source>", "audit the Williamson ingest", "what did we miss in <source>?"). You compose six building blocks (stage, hash, precheck, extract, audit, append-audit) following the principles below. The agent decides the order; common compositions are listed. Does not commit to git; the human reviews first.

Repository SourceNeeds Review
-0foundry-works
Security

wiki-lint

Health-check the wiki's structure, provenance, and conceptual coverage. Use when the user says "/wiki-lint", "lint the wiki", "health-check the vault", "what's stale or broken?", or "audit the wiki for gaps". Runs `python3 scripts/wiki-lint.py` first, then performs the judgment-dependent lint passes described in CLAUDE.md. Does not commit to git.

Repository SourceNeeds Review
-0foundry-works
Security

wiki-repair

Make a scoped corrective edit to existing wiki pages when the problem is already known. Use when the user says "/wiki-repair ...", "fix the audit findings on X", "repair these attribution mismatches", "apply this corrective edit", or "clean up this known page issue" and the work is narrower than a re-ingest. Reads the affected pages plus the relevant source-summary/raw source when needed, applies the smallest defensible patch, updates bookkeeping, and does not commit to git.

Repository SourceNeeds Review
-0foundry-works
Research

outdoor-monitoring-analysis

Detects targets such as people, vehicles, non-motorized vehicles, and pets within target areas; supports batch image analysis, suitable for outdoor surveillance scenarios like courtyards, orchards, and farms. | 户外看护智能监测分析技能，检测目标区域内的人、车、非机动车、宠物等目标，支持批量图片分析，适用于庭院、果园、养殖场等户外区域看护场景

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wiki-query | V50.AI