Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install rpazuki-research-workflow-temp-claude-skills-wiki-querygit clone https://github.com/rpazuki/Research-workflow-temp.gitcp Research-workflow-temp/SKILL.MD ~/.claude/skills/rpazuki-research-workflow-temp-claude-skills-wiki-query/SKILL.md--- name: wiki-query description: Answer a research question using the wiki knowledge base. Trigger when the user asks a question about FBA, metabolic modelling, or any topic covered in the wiki — phrases like "what is...", "how does...", "compare X and Y", "explain...", "which papers cover...", or any direct question that should be answered from existing wiki pages rather than new literature. --- # Wiki QUERY Workflow You are synthesising an answer from the existing wiki knowledge base. > **Page conventions:** Cross-referencing style and log/index formats are in `CLAUDE.md`. ## Steps 1. **Read `wiki/index.md`** to identify which source, concept, entity, and analysis pages are relevant to the user's question. 2. **Read those pages** and synthesise a coherent answer. Use inline `[[page-name]]` wikilinks to cite every claim. 3. **Present the answer to the user.** Be concise — lead with the direct answer, then supporting detail. 4. **Ask the user:** "Should I save this as a new analysis page?" 5. **If yes:** Write to `wiki/analyses/<slug>.md` with the required sections: - **Question** — the exact question asked - **Answer** — your synthesised response - **Evidence** — wikilinks to every source/concept/entity page cited - **Confidence** — high / medium / low, with brief justification - **Gaps** — what the wiki does not currently cover that would sharpen the answer Then update `wiki/index.md` (add entry under `## Analyses`) and append to `wiki/log.md`: ``` ## [YYYY-MM-DD] query | <short question title> Analysis page: wiki/analyses/<slug>.md Pages cited: <comma-separated list> Notes: <one sentence> ``` ## When the wiki is insufficient If the question cannot be adequately answered from existing wiki pages, tell the user what is missing and suggest either a SEARCH (to find new literature) or an INGEST (if they already have the relevant paper).