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wiki-query

Agent skill frompaperclipai/paperclip

Use when an LLM Wiki operation issue asks a question. Answer from wiki pages and raw sources with citations, name gaps plainly, and offer to file durable synthesis when the answer should compound.

How to install wiki-query

install wiki-query
# install the paperclip pack with the skills CLI
npx skills add paperclipai/paperclip

# or add only this skill to Claude Code: copy the folder

packages/plugins/plugin-llm-wiki/skills/wiki-query/

# into

~/.claude/skills/wiki-query/ (all projects)

.claude/skills/wiki-query/ (one project)

packages/plugins/plugin-llm-wiki/skills/wiki-query/SKILL.md

MITFull file
1# Wiki Query
2
3Answer a question from what the wiki actually contains, with citations.
4
5## Inputs
6
7- An operation issue with `operationType: "query"` and the question in the body.
8- The operation issue's target `wikiId`, `spaceSlug`, and space root.
9
10## Workflow
11
121. **Open the target space's `wiki/index.md` first** — it is the navigation aid. Identify candidate pages.
132. **Read the candidate pages** end to end with `wiki_read_page`, always passing the operation issue's `wikiId` and `spaceSlug`. Follow `[[wiki-links]]` to neighbouring pages when the question spans entities or concepts.
143. **Inspect raw sources** when a wiki page's claim feels thin. The wiki points to `raw/` precisely so you can verify before answering. Use `wiki_read_source`.
154. **Answer the question** in the operation issue thread. Structure:
16 - Direct answer first, in 1–4 sentences.
17 - Then the supporting facts as bullet points, each with an inline citation: `(see [[wiki/concepts/managed-resources]])` or `(see raw/<filename>)`.
18 - If you needed to read a raw source the wiki did not summarise, name that as a gap.
19…

Excerpt shown under the repository's MIT license.

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