wiki-query
Wiki Query searches your knowledge base to answer questions, combining information across multiple pages with proper source attribution. It distinguishes confident claims from inferences and flags knowledge gaps. When an answer represents useful synthesis not yet captured in the wiki, it can file that back as a new page to compound your knowledge over time.
Wiki Query searches and synthesizes answers from your wiki pages with source citations.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-07-02
Wiki Query searches and synthesizes answers from your wiki pages with source citations. Wiki Query searches your knowledge base to answer questions, combining information across multiple pages with proper source attribution. It distinguishes confident claims from inferences and flags knowledge gaps. When an answer represents useful synthesis not yet captured in the wiki, it can file that back as a new page to compound your knowledge over time.
Use it when
- Yes.
- Wiki Query distinguishes confident claims from inferences and flags knowledge gaps in its responses.
Verify before relying
Read SKILL.md below before installing (1 file). Open directory: indexed for reading, not audited.
Install
open-gitagent/opengap/wiki-query · repository language: TypeScript
Open directory. Skills are indexed for reading, not audited. Review a skill's body before installing it.
Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How do I search my wiki for answers?
Wiki Query searches your knowledge base to find relevant information across multiple wiki pages and synthesizes the results with source citations. Simply ask your question, and the skill will locate matching content, combine insights from different pages, and clearly attribute each piece of information to its original source.
Can Wiki Query save synthesized answers back to the wiki?
Yes. Wiki Query can file synthesized answers as new wiki pages when the combination of information creates useful knowledge not yet captured in your existing pages. This compounds your knowledge base over time by preserving valuable syntheses for future reference.
Does Wiki Query distinguish between confident claims and inferences?
Wiki Query distinguishes confident claims from inferences and flags knowledge gaps in its responses. This transparency helps you understand the strength of each answer and identifies areas where your knowledge base may need expansion or clarification.
What license does Wiki Query use?
Wiki Query is released under the MIT license, allowing broad use and modification while maintaining attribution to the original work.
Can I search and summarize knowledge base content with citations?
Yes. Wiki Query is designed to search your knowledge base and return summarized answers with full source citations. Each claim in the response is traced back to its original wiki page, making it easy to verify information and explore sources in depth.
What makes Wiki Query different from a simple wiki search?
Wiki Query goes beyond keyword matching by synthesizing information across multiple wiki documents to answer complex questions. It combines related content, provides source attribution, distinguishes inference from fact, and can even save new synthesized pages back to your wiki to build knowledge over time.
SKILL.md
Rendered from the published skill. Quoted content, verbatim.
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
(truncated - see the full file via the links below)
File tree — 1 file
examples/llm-wiki/skills/wiki-query/SKILL.md
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