name: karpathy-llm-wiki description: "Use when building or maintaining a personal LLM-powered knowledge base. Triggers: ingesting sources into a wiki, querying wiki knowledge, linting wiki quality, 'add to wiki', 'what do I know about', or any mention of 'LLM wiki' or 'Karpathy wiki'."

Karpathy LLM Wiki

Build and maintain a personal knowledge base using LLMs. You manage two directories: raw/ (immutable source material) and wiki/ (compiled knowledge articles). Sources go into raw/, you compile them into wiki articles, and the wiki compounds over time.

Core ideas from Karpathy:

• "The LLM writes and maintains the wiki; the human reads and asks questions."
• "The wiki is a persistent, compounding artifact."

Architecture

Three layers, all under the user's project root:

raw/ — Immutable source material. You read, never modify. Organized by topic subdirectories (e.g., raw/machine-learning/).

wiki/ — Compiled knowledge articles. You have full ownership. Organized by topic subdirectories, one level only: wiki/<topic>/<article>.md. Contains two special files:

• wiki/index.md — Global index. One row per article, grouped by topic, with link + summary + Updated date.
• wiki/log.md — Append-only operation log.

SKILL.md (this file) — Schema layer. Defines structure and workflow rules.

Templates live in references/ relative to this file. Read them when you need the exact format for raw files, articles, archive pages, or the index.

Initialization

Triggers only on the first Ingest. Check whether raw/ and wiki/ exist. Create only what is missing; never overwrite existing files:

• raw/ directory (with .gitkeep)
• wiki/ directory (with .gitkeep)
• wiki/index.md — heading # Knowledge Base Index, empty body
• wiki/log.md — heading # Wiki Log, empty body

If Query or Lint cannot find the wiki structure, tell the user: "Run an ingest first to initialize the wiki." Do not auto-create.

The Grounding Invariant

Every load-bearing fact in wiki/ — numbers, dates, direct quotes — exists verbatim in the raw/ files linked by that article's Raw field. Compile establishes this invariant (locate before you write); lint verifies it (scripts/check_evidence.py greps the high-signal literals — suffixed or large numbers, decimals, ISO dates, longer quotes — in the linked raws; the compile-time locate-before-write rule covers the rest). Because raw/ is immutable, a verified article stays verified; the script re-checks the whole wiki in seconds, so there is no incremental state to maintain.

Ingest

Fetch a source into raw/, then compile it into wiki/ — unless the source adds nothing new. Always fetch; whether to compile depends on the triage below.

Fetch (raw/)

1. Get the source content using whatever web or file tools your environment provides. If nothing can reach the source, ask the user to paste it directly.

2. Pick a topic directory. Check existing raw/ subdirectories first; reuse one if the topic is close enough. Create a new subdirectory only for genuinely distinct topics.

3. Save as raw/<topic>/YYYY-MM-DD-descriptive-slug.md.

   • Slug from source title, kebab-case, max 60 characters.
   • Published date unknown → omit the date prefix from the file name (e.g., descriptive-slug.md). The metadata Published field still appears; set it to Unknown.
   • If a file with the same name already exists, append a numeric suffix (e.g., descriptive-slug-2.md).
   • Include metadata header: source URL, collected date, published date.
   • Preserve original text. Clean formatting noise. Do not rewrite opinions.

   See references/raw-template.md for the exact format.

Triage

After saving the raw file and before editing wiki/, search wiki/ with the source's key entities and synonyms, then state the disposition:

• New — creates one or more new articles.
• Update — merges into existing article(s).
• Disputed — contradicts existing content; may combine with New or Update (see Compile for conflict annotation).
• No material — adds no knowledge beyond what the wiki already holds. Keep the raw file, log it (see Post-Ingest), and stop. Do not force an article out of a thin source.

New, Update, and Disputed may be combined. No material is exclusive.

Compile (wiki/)

Determine where the new content belongs:

• Same core thesis as existing article → Merge into that article. Add the new source to Sources/Raw. Update affected sections.
• New concept → Create a new article in the most relevant topic directory. Name the file after the concept, not the raw file.
• Spans multiple topics → Place in the most relevant directory. Add See Also cross-references to related articles elsewhere.

These are not mutually exclusive. A single source may warrant merging into one article while also creating a separate article for a distinct concept it introduces. In all cases, check for factual conflicts: if the new source contradicts existing content, mark the contested claims with a Status: Disputed block (see references/article-template.md). When the conflicting content lives in separate articles, mark both and cross-link them.

Source fidelity. Every number, date, and direct quote must be located in the raw file (grep or read) before it is written; write the value exactly as found — if the source says 42K, write 42K, not 42,000. Derived values (sums, deltas, counts you computed) must show their components so each component is findable in raw. If you cannot locate a value, do not write its exact form; drop it or state it without precision.

See references/article-template.md for article format. Key points:

• Sources field: author, organization, or publication name + date, semicolon-separated.
• Raw field: markdown links to raw/ files, semicolon-separated.
• Relative paths from wiki/<topic>/ use ../../raw/<topic>/<file>.md (two levels up to project root).

Cascade Updates

After the primary article, check for ripple effects. Do not rely on the index alone: search the full wiki for the source's key entities, aliases, and the claims it touches, then update every non-archive article whose content is materially affected. Each updated file gets its Updated date refreshed.

When the new source supersedes or contradicts an existing claim, keep the old claim for the record but mark it with a Status block (see references/article-template.md): Outdated when something newer replaces it, Disputed when sources disagree. Never silently rewrite history.

Archive pages are never cascade-updated (they are point-in-time snapshots).

Post-Ingest

Update wiki/index.md: add or update entries for every touched article. When adding a new topic section, include a one-line description. The Updated date reflects when the article's knowledge content last changed, not the file system timestamp. See references/index-template.md for format.

Append to wiki/log.md:

## [YYYY-MM-DD] ingest | <primary article title>
- Disposition: <New; Update; Disputed>
- Raw: <raw file path>
- Updated: <cascade-updated article title>

Omit - Updated: lines when no cascade updates occur. For No material, log and stop. Use a project-root-relative raw path (for example, raw/topic/file.md):

## [YYYY-MM-DD] ingest | no material: <project-root-relative raw file path>
- Disposition: No material

The exact no-material heading is the machine-readable inventory key; the Disposition line remains required for a complete human-readable log entry.

Research (multi-source ingest)

Use only when the user explicitly asks to research a topic or gather sources into the wiki. Ordinary knowledge questions go to Query, which never writes files.

1. Split the topic into a few angles. For each, search with a wide net — official names, abbreviations, and synonyms, not just the literal keywords.
2. For any core claim you expect to conclude, deliberately search the opposing side: failures, criticism, failed replications.
3. Save selected sources to raw/ as usual. Searching may run in parallel; compilation must not — compile one source at a time, because index.md, log.md, and cascade updates are shared state.

Query

Search the wiki and answer questions. Examples of triggers:

• "What do I know about X?"
• "Summarize everything related to Y"
• "Compare A and B based on my wiki"

Steps

1. Read wiki/index.md to locate candidate articles, then full-text search wiki/ with the topic's key terms and their synonyms. Never claim the wiki has no relevant content until both the index and the full-text search come back empty — and say that you searched.
2. Read the articles you found and synthesize an answer.
3. Prefer wiki content over your own training knowledge. Cite sources with markdown links: [Article Title](wiki/topic/article.md) (project-root-relative paths for in-conversation citations; within wiki/ files, use paths relative to the current file).
4. Output the answer in the conversation. Do not write files unless asked.

Archiving

When the user explicitly asks to archive or save the answer to the wiki:

1. Write the answer as a new wiki page. See references/archive-template.md. When converting conversation citations to the archive page, rewrite project-root-relative paths (e.g., wiki/topic/article.md) to file-relative paths (e.g., ../topic/article.md or article.md for same-directory).
   • Sources: markdown links to the wiki articles cited in the answer.
   • No Raw field (content does not come from raw/).
   • File name reflects the query topic, e.g., transformer-architectures-overview.md.
   • Place in the most relevant topic directory.
2. Always create a new page. Never merge into existing articles (archive content is a synthesized answer, not raw material).
3. Update wiki/index.md. Prefix the Summary with [Archived].
4. Append to wiki/log.md:

   ## [YYYY-MM-DD] query | Archived: <page title>
   

Lint

Quality checks on the wiki. Three categories with different authority levels.

Safe Fixes (auto-fix)

Fix these automatically:

Index consistency — compare wiki/index.md against actual wiki/ files (excluding index.md and log.md):

• File exists but missing from index → add entry with (no summary) placeholder. For Updated, use the article's metadata Updated date if present (for archive pages, the Archived date); otherwise fall back to file's last modified date.
• Index entry points to nonexistent file → mark as [MISSING] in the index. Do not delete the entry; let the user decide.
• Index entry's Updated differs from the article's metadata Updated (or Archived, for archive pages) → update the index entry to match the article.

Internal links — for every markdown link in wiki/ article files (body text and Sources metadata), excluding Raw field links (validated by Raw references below), excluding See Also section links (handled by the See Also rule below), and excluding index.md/log.md (handled above):

• Target does not exist → search wiki/ for a file with the same name elsewhere.
  • Exactly one match → fix the path.
  • Zero or multiple matches → report to the user.

Raw references — every link in a Raw field must point to an existing raw/ file:

• Target does not exist → search raw/ for a file with the same name elsewhere.
  • Exactly one match → fix the path.
  • Zero or multiple matches → report to the user.

See Also — within each topic directory:

• Target of a See Also link does not exist → search wiki/ for a file with the same name elsewhere.
  • Exactly one match → fix the path.
  • Zero matches → remove the link (a dead cross-reference is not load-bearing).
  • Multiple matches → report to the user.

Mechanical Reports (no fixes)

Run these mechanically with python3 <skill-dir>/scripts/check_evidence.py <project-root> (optionally followed by project-root-relative article paths to limit scope). Default scope is the whole wiki; the script is fast. Report findings; never auto-fix facts.

Source fidelity — reported suspects are candidates, not verdicts: derived values and product names may appear. Judge each against the raw context and report only real mismatches.

Evidence errors — articles the script cannot verify (missing Raw field, unresolvable Raw links, or Raw links escaping raw/). These always need a decision, not a fix from the script.

Unreferenced raw files — files logged with a No material disposition are excluded; everything else is a genuine backlog reminder.

Judgment Reports (no fixes)

These rely on your judgment. Report findings without auto-fixing:

• Factual contradictions across articles
• Outdated claims superseded by newer sources but still presented without a Status block
• Missing conflict annotations where sources disagree
• Obviously missing cross-references between related articles (suggest them; do not add silently)
• Malformed Status blocks (Outdated missing its date, or either block missing its explanation; format reference: references/article-template.md)
• Orphan pages with no inbound links from other wiki articles
• Missing cross-topic references
• Concepts frequently mentioned but lacking a dedicated page
• Archive pages whose cited source articles have been substantially updated since archival

Post-Lint

Append to wiki/log.md:

## [YYYY-MM-DD] lint | <N> issues found, <M> auto-fixed

Conventions

• Standard markdown with relative links throughout.
• wiki/ supports one level of topic subdirectories only. No deeper nesting.
• Today's date for log entries, Collected dates, and Archived dates. Updated dates reflect when the article's knowledge content last changed. Published dates come from the source (use Unknown when unavailable).
• Inside wiki/ files, all markdown links use paths relative to the current file. In conversation output, use project-root-relative paths (e.g., wiki/topic/article.md).
• Ingest updates both wiki/index.md and wiki/log.md (a No material ingest updates only the log). Archive (from Query) updates both. Lint updates wiki/log.md (and wiki/index.md only when auto-fixing index entries). Plain queries do not write any files.

karpathy-llm-wiki

A reusable skill for building Karpathy-style LLM wikis with Claude Code, Cursor, Codex, and other Agent Skills tools.

karpathy-llm-wiki packages Karpathy's LLM Wiki idea into one installable Agent Skills skill. Your coding agent ingests sources into raw/, compiles durable knowledge pages into wiki/, answers questions with citations, and lints the wiki for consistency.

What Is an LLM Wiki?

An LLM wiki is a knowledge system where the LLM maintains structured wiki pages instead of re-searching raw documents on every question. New sources are compiled into durable markdown pages, cross-references are updated over time, and answers cite the wiki pages that already contain the synthesized knowledge.

This skill gives you three operations:

See SKILL.md for the full skill specification.

LLM Wiki vs RAG

This skill is optimized for the wiki model: knowledge that improves over time instead of re-deriving relationships on every query.

Usage Stats

Based on a production knowledge base maintained daily since April 2026:

• 94 wiki articles across 13 topic directories
• 99 source materials ingested
• 87 operation log entries in the last 7 days

See examples/ for sample wiki pages, source files, and operation logs.

Install

npx add-skill Astro-Han/karpathy-llm-wiki

Works with any tool that supports the Agent Skills standard.

Quick Start

1. Ingest your first source

Give the skill a URL, a file, or pasted text:

"Ingest this article: https://example.com/attention-is-all-you-need"

The skill stores the source in raw/, then compiles or updates the right knowledge pages in wiki/.

2. Ask your wiki a question

"What do I know about attention mechanisms?"

The skill searches the wiki and answers with citations linking back to your markdown pages.

3. Keep the wiki healthy

"Lint my wiki"

Checks for broken links, missing index entries, stale cross-references, and related issues.

How the Workflow Works

The core idea from Karpathy: the LLM maintains the wiki while the human focuses on choosing sources and asking good questions.

your-project/
├── raw/            ← Immutable source material
│   └── topic/
│       └── 2026-04-03-source-article.md
├── wiki/           ← Compiled knowledge pages maintained by the LLM
│   ├── topic/
│   │   └── concept-name.md
│   ├── index.md    ← Global table of contents
│   └── log.md      ← Append-only operation log

Each new source can update multiple pages, strengthen cross-references, and record contradictions. That is what makes the wiki compound over time.

Tool Compatibility

This skill follows the agentskills.io open standard:

FAQ

What is the difference between an LLM wiki and a personal wiki?

An LLM wiki is maintained by the model. It updates summaries, cross-links, index entries, and contradictions as new material arrives. A normal personal wiki depends on manual editing.

What sources can I ingest?

Web pages, papers, blog posts, PDFs, markdown files, text files, and pasted text. The skill converts everything into markdown under raw/ and compiles it into wiki/.

Is this production-ready?

The workflow is based on a real knowledge base with 94 articles and 99 sources maintained daily since April 2026. The repo includes examples, templates, and a design spec.

Design Boundaries

Deliberately not built, after three months of production logs and a survey of the ecosystem (LLM Wiki v2, llm-wiki-compiler, OKF, agent-memory literature):

• Source-hash freshness tracking — raw/ is immutable, so hashes guard against events that cannot happen. Genuinely new information arrives as new sources through normal ingest.
• Persisted line-number citations — every observed fidelity error was "value absent from the source", which a whole-file grep catches. Anchors only disambiguate a failure mode that has not occurred, and the annotation friction makes agents skip the rule.
• Numeric confidence or quality scores — false precision with no calibration behind it. Evidence strength belongs in the prose.
• Per-article review dates — nobody can predict at compile time how fast a domain moves. Maintenance is driven by whole-wiki lint, not per-page timers.
• Access-based decay — frequently asked is not the same as true.
• Retract / bad-source machinery — has not happened yet. Handle it manually until it does.
• Automatic hooks and scheduled runs — those belong to the agent harness, not a tool-agnostic skill.
• Vector or graph search — at 50K–100K tokens of curated wiki, grep and read are more reliable. Add search tooling only when recall measurably degrades.
• Typed relationship ontologies — link semantics live in the prose around the link.
• OKF conformance — the spec is a v0.1 draft with a minimal tooling ecosystem. Tracked; will be revisited.
• MCP servers, UIs, output subsystems — outside the boundary of a tool-agnostic skill.

Inspired By

Unofficial community implementation of the workflow from Karpathy's LLM Wiki idea. The value here is the reusable workflow, prompt structure, and battle-tested knowledge-compilation rules.

See also: lucasastorian/llmwiki, atomicmemory/llm-wiki-compiler. We are tracking Google's Open Knowledge Format draft and will evaluate compatibility once the spec and tooling mature.

License

MIT