LLM Wiki
praneybehl/llm-wiki-plugin
Build and maintain an LLM-curated knowledge base from papers, articles, transcripts, notes and project findings.
A skill your agent uses when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages…
Install LLM Wiki
$ npx skills add alirezarezvani/claude-skills --skill llm-wiki -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install alirezarezvani/claude-skills llm-wiki --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering/llm-wiki/skills/llm-wiki .claude/skills/llm-wiki && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "llm-wiki" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/llm-wiki/skills/llm-wiki into .claude/skills/llm-wiki/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-wiki", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/alirezarezvani/claude-skills/tree/main/engineering/llm-wiki/skills/llm-wikiType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add alirezarezvani/claude-skills --skill llm-wiki -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install alirezarezvani/claude-skills llm-wiki --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/engineering/llm-wiki/skills/llm-wiki .agents/skills/llm-wiki && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "llm-wiki" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/llm-wiki/skills/llm-wiki into .agents/skills/llm-wiki/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-wiki", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alirezarezvani/claude-skills --skill llm-wiki -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install alirezarezvani/claude-skills llm-wiki --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/engineering/llm-wiki/skills/llm-wiki .cursor/skills/llm-wiki && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "llm-wiki" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/llm-wiki/skills/llm-wiki into .cursor/skills/llm-wiki/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-wiki", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/alirezarezvani/claude-skills.git --path engineering/llm-wiki/skills/llm-wiki--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add alirezarezvani/claude-skills --skill llm-wiki -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install alirezarezvani/claude-skills llm-wiki --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/engineering/llm-wiki/skills/llm-wiki .gemini/skills/llm-wiki && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "llm-wiki" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/llm-wiki/skills/llm-wiki into .gemini/skills/llm-wiki/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-wiki", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install alirezarezvani/claude-skills llm-wikiInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add alirezarezvani/claude-skills --skill llm-wiki -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/engineering/llm-wiki/skills/llm-wiki .github/skills/llm-wiki && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "llm-wiki" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/llm-wiki/skills/llm-wiki into .github/skills/llm-wiki/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-wiki", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alirezarezvani/claude-skills --skill llm-wiki -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install alirezarezvani/claude-skills llm-wiki --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/engineering/llm-wiki/skills/llm-wiki .opencode/skills/llm-wiki && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "llm-wiki" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/llm-wiki/skills/llm-wiki into .opencode/skills/llm-wiki/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-wiki", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
llm-wiki- GitHub stars
- 28k
- Token cost
- ~2.5k tokens
- SKILL.md length
- 944 words
- Files
- 47 (incl. scripts, references, assets)
- Skills in repo
- 342
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages…
- Works in 3 steps: Ingest — LLM reads a source, discusses… → Query — LLM reads index.md first, drills… → Lint — Health check: contradictions,…
- Maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources
- SKILL.md covers Core principle, When to use, Architecture (three layers) and Three core operations, plus 11 more sections
- Calls python
What it does
LLM Wiki is an agent skill from alirezarezvani/claude-skills. Use when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 53 other files, including scripts, reference files and assets (for example `assets/example-vault/README.md`, `assets/example-vault/wiki/concepts/sparse-autoencoder.md` and `assets/example-vault/wiki/entities/anthropic.md`).
It sits in Knowledge Management, covering Second brain, LLM wikis and Retrieval-augmented generation. It works with Obsidian. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.
When your agent uses it
- Maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources
- Updates entity/concept pages
- Maintains cross-references
- Keeps a synthesis current
Example prompts
- “second brain”
- “Obsidian wiki”
- “personal knowledge management”
- “/llm-wiki”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Ingest — LLM reads a source, discusses takeaways with you, writes a source summary, updates 10-15 relevant pages, updates index, appends…
- Query — LLM reads index.md first, drills into relevant pages, synthesizes with citations. Good answers get filed back into the wiki so…
- Lint — Health check: contradictions, stale claims, orphan pages, missing cross-refs, concepts mentioned but lacking their own page, data…
What it can do on your machine
Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
gist.github.comgithub.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
LLM Wiki loads about 2.5k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 132 tokens; SKILL.md has 944 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 944 words, ~2,539 tokens.
Download SKILL.mdSave it as
.claude/skills/llm-wiki/SKILL.md (or your agent's skills folder). This skill also uses 46 other files; get the full folder from GitHub.- name
- llm-wiki
- description
- Use when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.
- context
- fork
- version
- 2.9.0
- author
- claude-code-skills
- license
- MIT
- tags
- knowledge-management, obsidian, second-brain, pkm, rag-alternative, wiki, karpathy, memex
- compatible_tools
- claude-code, codex-cli, cursor, antigravity, opencode, gemini-cli
LLM Wiki — Second Brain for Claude Code + Obsidian
Inspired by Andrej Karpathy's LLM Wiki pattern (gist). This skill turns Claude Code (or any agent CLI) into a disciplined wiki maintainer that incrementally builds and maintains a persistent, interlinked Obsidian vault as you feed it sources. The knowledge compounds — cross-references, contradictions, and synthesis are already there when you query.
Core principle
Most LLM+docs workflows are RAG: retrieve fragments at query time, synthesize from scratch, forget. The wiki is compounding: sources are read once, integrated into a persistent markdown knowledge base, and kept current. You curate and ask; the LLM reads, files, cross-references, and maintains.
Obsidian is the IDE. The LLM is the programmer. The wiki is the codebase.
When to use
- Personal: track goals, health, psychology, journaling, self-improvement
- Research: deep dives over weeks on a topic — papers, articles, reports, evolving thesis
- Book companion: file chapters as you read; build a fan-wiki-style companion for characters, themes, plot threads
- Business/team: internal wiki fed by Slack, meeting notes, calls — LLM does maintenance nobody else wants to do
- Competitive analysis, due diligence, trip planning, course notes, hobby deep-dives
Do NOT use when: you need one-shot Q&A over a fixed document (use RAG), you don't plan to add sources over time, or you don't want Obsidian in the loop.
Architecture (three layers)
vault/
├── raw/ # Layer 1 — IMMUTABLE source of truth
│ ├── <source files> # Articles, papers, PDFs, images, data
│ └── assets/ # Downloaded images from clipped articles
├── wiki/ # Layer 2 — LLM-owned knowledge base
│ ├── index.md # Content catalog (LLM updates every ingest)
│ ├── log.md # Append-only timeline (## [YYYY-MM-DD] <op> | <title>)
│ ├── entities/ # Person/Org/Place pages
│ ├── concepts/ # Ideas, theories, frameworks
│ ├── sources/ # One summary page per ingested source
│ ├── comparisons/ # Cross-source analysis pages
│ └── synthesis/ # High-level syntheses, theses, overviews
├── CLAUDE.md # Schema + conventions (Claude Code)
└── AGENTS.md # Same content, for Codex/Cursor/Antigravity- Layer 1 (raw/) — you own. LLM only reads; never writes.
- Layer 2 (wiki/) — LLM owns. It creates, updates, and cross-references pages. You read it.
- Layer 3 (CLAUDE.md / AGENTS.md) — the schema. Conventions, workflows, frontmatter rules. Co-evolved by you and the LLM.
Three core operations
- Ingest — LLM reads a source, discusses takeaways with you, writes a source summary, updates 10-15 relevant pages, updates index, appends to log. See
references/ingest-workflow.md. - Query — LLM reads
index.mdfirst, drills into relevant pages, synthesizes with citations. Good answers get filed back into the wiki so explorations compound. Seereferences/query-workflow.md. - Lint — Health check: contradictions, stale claims, orphan pages, missing cross-refs, concepts mentioned but lacking their own page, data gaps to fill with web search. See
references/lint-workflow.md.
Quick start
# 1. Initialize a vault (in Obsidian's vault directory)
python scripts/init_vault.py --path ~/vaults/research --topic "LLM interpretability"
# 2. Drop a source into raw/, then ingest
/wiki-ingest ~/vaults/research/raw/anthropic-monosemanticity.pdf
# 3. Ask questions (answers can be re-filed into the wiki)
/wiki-query "how does monosemanticity compare to mechanistic interpretability?"
# 4. Periodic health check
/wiki-lint
# 5. See the timeline
/wiki-log --last 10Slash commands (this plugin ships)
| Command | Purpose |
|---|---|
/wiki-init | Bootstrap a fresh vault with schema files + starter structure |
/wiki-ingest <path> | Read a source, discuss, update wiki, log it |
/wiki-query <question> | Search wiki, synthesize answer, offer to file back |
/wiki-lint | Run health check — contradictions, orphans, stale claims, gaps |
/wiki-log | Show recent log entries (uses unix tools on log.md) |
Sub-agents (this plugin ships)
| Agent | When dispatched |
|---|---|
wiki-ingestor | Delegated ingest flow — reads source, proposes updates, applies after your approval |
wiki-linter | Runs the health-check workflow independently, reports findings |
wiki-librarian | Answers queries using index-first search, synthesizes with citations |
Python tools (scripts/)
All tools are standard library only (no pip installs). Run with python scripts/<tool>.py --help.
| Script | Purpose |
|---|---|
init_vault.py | Create folder structure + seed CLAUDE.md, AGENTS.md, index.md, log.md |
ingest_source.py | Helper: extract text/frontmatter from a source file, ready for LLM review |
update_index.py | Regenerate index.md from wiki page frontmatter (category, date, source count) |
append_log.py | Append a standardized log entry ## [YYYY-MM-DD] <op> | <title> |
wiki_search.py | BM25 search over wiki pages (standalone fallback when index.md isn't enough) |
lint_wiki.py | Find orphans (no inbound links), stale pages, missing cross-refs, broken links |
graph_analyzer.py | Compute link graph stats — hubs, orphans, clusters, disconnected components |
export_marp.py | Render a wiki page (or subtree) to a Marp slide deck |
Cross-tool compatibility
The vault's schema lives in CLAUDE.md (Claude Code) or AGENTS.md (Codex/Cursor/Antigravity/OpenCode). The same content works in both. This plugin ships both templates. For per-tool setup instructions see references/cross-tool-setup.md.
CLAUDE.md → Claude Code
AGENTS.md → Codex CLI, Cursor, Antigravity, OpenCode, Gemini CLI
.cursorrules → legacy Cursor (pre-AGENTS.md)The scripts are pure Python stdlib → run identically everywhere. Only the loader file changes per tool.
Show full SKILL.md (361 more words)Show less
Obsidian setup (recommended)
- Obsidian Web Clipper — browser extension; converts web articles to markdown and drops them in
raw/ - Download images locally — Settings → Files and links → Attachment folder path =
raw/assets/. Settings → Hotkeys → bind "Download attachments for current file" toCtrl+Shift+D - Graph view — see hubs/orphans; essential for spotting structural problems
- Marp plugin — Markdown-based slide decks directly from wiki pages
- Dataview plugin — dynamic tables/lists over page frontmatter (tags, dates, source counts)
- Git — the vault is a plain markdown repo; version it
Full setup walkthrough: references/obsidian-setup.md
Why this works (vs plain RAG)
| Plain RAG | LLM Wiki |
|---|---|
| Rediscover knowledge each query | Knowledge accumulates |
| Cross-references re-computed every time | Cross-references pre-written and maintained |
| Contradictions surface only if you ask | Contradictions flagged during ingest |
| Exploration disappears into chat history | Good answers re-filed as new pages |
| Scales by embeddings infrastructure | Scales by markdown + index.md + optional local search |
At ~100 sources / hundreds of pages, index.md + filesystem search is enough. Past that, layer in a local search tool like qmd or use scripts/wiki_search.py.
Related skills (chains via context: fork)
This skill is marked context: fork so other skills can chain into it:
para-memory-files— PARA-method memory; complementary as long-term personal memory that feeds sources into the wikiobsidian-vault(mattpocock) — lightweight Obsidian note helper; this skill is the maintained-wiki layer on toprag-design— when wiki outgrows ~500 pages, use rag-design to bolt on a retrieval layermcp-design— expose the wiki as an MCP toolagent-communication— for multi-agent wiki maintenance (ingestor + linter + librarian)
Reference docs
references/wiki-schema.md— full vault layout, page frontmatter, naming conventionsreferences/page-formats.md— entity, concept, source, comparison, synthesis templatesreferences/ingest-workflow.md— the detailed ingest flow the wiki-ingestor agent followsreferences/query-workflow.md— query patterns, citation format, re-filing answersreferences/lint-workflow.md— health-check heuristicsreferences/obsidian-setup.md— Obsidian plugins, hotkeys, vault configreferences/cross-tool-setup.md— per-tool setup (Codex, Cursor, Antigravity, etc.)references/memex-principles.md— Bush's Memex, why the LLM changes the maintenance math
Templates (assets/)
CLAUDE.md.template,AGENTS.md.template,.cursorrules.template— schema loaders per toolindex.md.template,log.md.template— starter index and logpage-templates/— entity, concept, source-summary, comparison, synthesisexample-vault/— small worked example you can study or copy
Iron rule
The LLM never edits files in raw/. Ever. Sources are immutable. All LLM writes go to wiki/. If you need to correct a source, do it in raw/ yourself — then re-ingest.
© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 46 other files (scripts, references, assets) in engineering/llm-wiki/skills/llm-wiki of alirezarezvani/claude-skills.
- SKILL.md
- assets/AGENTS.md.template
- assets/CLAUDE.md.template
- assets/cursorrules.template
- assets/example-vault/README.md
- assets/example-vault/wiki/concepts/sparse-autoencoder.md
- assets/example-vault/wiki/entities/anthropic.md
- assets/example-vault/wiki/index.md
- assets/example-vault/wiki/log.md
- assets/example-vault/wiki/sources/monosemanticity.md
- assets/example-vault/wiki/synthesis/interpretability-overview.md
- assets/index.md.template
- assets/log.md.template
- assets/page-templates
- … and 33 more
Open the folder on GitHubat commit 19392f7
Compare with similar skills
LLM Wiki next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| LLM Wiki this skillalirezarezvani/claude-skills | 28k | — | ~2.5k | Automated safety check: Pass | MIT | |
| LLM Wikipraneybehl/llm-wiki-plugin | 118 | — | ~5.7k | Automated safety check: Pass | MIT | |
| Karpathy WikiSherwinQ/karpathy-wiki | 114 | — | ~967 | Automated safety check: Pass | MIT | |
| My LLM WikiMartinLwx/dotfiles | 140 | — | ~2.7k | Automated safety check: Pass | None | |
| Obsidian Knowledge BuilderMichael-OvO/obsidian-knowledge-agent | 205 | — | ~917 | Automated safety check: Pass | MIT | |
| AI Second Braincharlie947/ai-second-brain | 187 | — | ~3.5k | Automated safety check: Pass | MIT |
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Questions about LLM Wiki
What does LLM Wiki do?
A skill your agent uses when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages…. LLM Wiki is an agent skill from alirezarezvani/claude-skills. Use when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current.
When should I use LLM Wiki?
LLM Wiki fits situations like: maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources; updates entity/concept pages; maintains cross-references; keeps a synthesis current.
How do I install LLM Wiki in Claude Code?
Run `npx skills add alirezarezvani/claude-skills --skill llm-wiki -a claude-code`. Or copy the skill folder (engineering/llm-wiki/skills/llm-wiki in alirezarezvani/claude-skills) into .claude/skills/llm-wiki in your project. Claude Code loads it when a task matches its description.
How do I install LLM Wiki in Codex?
Run `npx skills add alirezarezvani/claude-skills --skill llm-wiki -a codex`. Or copy the skill folder (engineering/llm-wiki/skills/llm-wiki in alirezarezvani/claude-skills) into .agents/skills/llm-wiki in your project. Codex loads it when a task matches its description.
Can I use LLM Wiki in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alirezarezvani/claude-skills --skill llm-wiki -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llm-wiki, .gemini/skills/llm-wiki, .github/skills/llm-wiki and .opencode/skills/llm-wiki in your project.
What does LLM Wiki need to run?
Going by SKILL.md and its folder, LLM Wiki needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does LLM Wiki access the network?
SKILL.md names 2 domains. As links in the text: gist.github.com and github.com. This is read from the text; nothing was executed.
Is LLM Wiki safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does LLM Wiki use?
LLM Wiki is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does LLM Wiki use?
About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.8k tokens, read only when the agent opens those files.
What are the alternatives to LLM Wiki?
Skills that share tags, products or a category with LLM Wiki: LLM Wiki (praneybehl/llm-wiki-plugin, 118 stars), Karpathy Wiki (SherwinQ/karpathy-wiki, 114 stars), My LLM Wiki (MartinLwx/dotfiles, 140 stars) and Obsidian Knowledge Builder (Michael-OvO/obsidian-knowledge-agent, 205 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains LLM Wiki?
alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,891 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.
Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.