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LLM Wiki — persistent markdown knowledge base that compounds across sessions (Karpathy model)
Passed 15 of 19 test cases with the skill, and 4 of 19 without it.
and 11 more in the full report
13 fixed5 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
An old deployment guide at page slug `legacy-deploy` is obsolete. Which tool function permanently removes this page from the project knowledge base?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends `wiki_delete` with `page: "legacy-deploy"` to remove the page. | Missed | Passed |
The instructions your model reads when the skill loads.
Persistent, self-maintained markdown knowledge base for project and session knowledge. Inspired by Karpathy's LLM Wiki concept.
Process knowledge into wiki pages. A single ingest can touch multiple pages.
wiki_ingest({ title: "Auth Architecture", content: "...", tags: ["auth", "architecture"], category: "architecture" })
Search across all wiki pages by keywords and tags. Returns matching pages with snippets — YOU (the LLM) synthesize answers with citations from the results.
wiki_query({ query: "authentication", tags: ["auth"], category: "architecture" })
Run health checks on the wiki. Detects orphan pages, stale content, broken cross-references, oversized pages, and structural contradictions.
wiki_lint()
Add a single page quickly (simpler than ingest).
wiki_add({ title: "Page Title", content: "...", tags: ["tag1"], category: "decision" })
wiki_list() # Show all pages (reads index.md)
wiki_read({ page: "auth-architecture" }) # Read specific page
wiki_delete({ page: "outdated-page" }) # Delete a page
test cases passed, vs 4 / 19 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.