okf-querylisted

Answer a question using ONLY an Open Knowledge Format (OKF) knowledge base (a wiki/ bundle of Markdown + YAML frontmatter), with citations and honest gaps. Use when the user asks something their wiki / knowledge base / notes should answer, or says "according to my notes/KB", "what does my wiki say about X", "search my knowledge base", "what do I have on X". Navigates the indexes, cites concept ids, and flags what's missing instead of guessing.
thattimc/skills · ★ 1 · Data & Documents · score 72

Install: claude install-skill thattimc/skills

# Query an OKF knowledge base Answer from the wiki, grounded and cited. If the repo has a `CLAUDE.md`, follow its query guidance; this skill states the same discipline so it works standalone. ## How to navigate (progressive disclosure) 1. Start at `wiki/index.md` → the relevant domain `index.md` → the concept page. Follow the `description` fields and relative links rather than loading the whole tree. 2. Useful shortcuts: - `grep -ril "<term>" wiki` — find pages mentioning a term. - `grep -rl "^type: Source" wiki` — list pages of a type. - `grep -rl "<tag>" wiki` — find by tag. Frontmatter is plain text, so grep works. - Follow `# Related` / cross-links and backlinks for neighboring concepts. ## Rules - **Answer only from KB content.** Do not fill gaps from training data. - **Cite the concept id / path** for each claim, e.g. `papers/routenlp-...` or a relative link. - **If the answer isn't in the KB, say so plainly** and offer to add it with the `okf-ingest` skill — don't guess. - Distinguish what the KB asserts from your own inference; keep them clearly separated. - For "what's related to X", report the actual cross-links/backlinks, not associations you imagine. ## In Obsidian (for the user) Mention that they can also use Obsidian's Search (`Cmd-Shift-F`, including property filters like `tag:#…` or `[year:2026]`), the graph view, and the backlinks panel — all of which read the same relative-markdown links the KB uses.