Wiki query
Skill open-gitagent/opengap/examples/llm-wiki/skills/wiki-query
A framework-agnostic, git-native standard for defining AI agents
npx -y skills add open-gitagent/opengap --skill wiki-queryAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Query the wiki to answer questions. Searches wiki pages, synthesizes answers with citations, and optionally files valuable answers back as new wiki pages. Use when the user asks a question about the knowledge base.
SKILL.md
1.9 KB, as published. Nobody here has run it
Wiki Query
Answer questions by searching and synthesizing from the wiki.
Workflow
Step 1: Search the wiki
- Read
memory/wiki/index.mdto find relevant pages - Use Grep to search for specific terms across
memory/wiki/ - Read the most relevant pages (usually 3-10)
Step 2: Synthesize an answer
- Combine information from multiple wiki pages
- Cite sources: reference both wiki pages and the underlying raw documents
- Note confidence level — distinguish well-sourced claims from inferences
- Flag if the wiki has gaps on this topic
Step 3: Present the answer
Format depends on the question:
- Factual question — direct answer with citations
- Comparison — markdown table comparing entities/concepts
- Overview — structured summary with sections
- Analysis — synthesis with explicit reasoning chain
Step 4: File back (if valuable)
If the answer represents a useful synthesis that doesn't exist as a wiki page:
- Ask the user: "This answer synthesizes information that isn't captured in the wiki yet. Should I file it as a new page?"
- If yes: create a new wiki page in
memory/wiki/ - Update
memory/wiki/index.md - Append to
memory/log.md:## [YYYY-MM-DD] query-filed | Page Title - Question: [original question] - Pages referenced: [list] - New page: memory/wiki/page-name.md
Key Insight
Good answers should not disappear into chat history. A comparison you asked for, an analysis, a connection you discovered — these are valuable wiki content. Filing them back means your explorations compound in the knowledge base just like ingested sources do.