Builds and maintains a persistent, interlinked Obsidian-compatible markdown knowledge wiki in a git repo via three operations — ingest a source into linked pages, answer a question from the…

Custom licenceAuto-check passedKnowledge Management

Install LLM Wiki

skills CLI
$ npx skills add CharlesHoskinson/sevenlayer --skill llm-wiki -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install CharlesHoskinson/sevenlayer llm-wiki --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/CharlesHoskinson/sevenlayer.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/llm-wiki .claude/skills/llm-wiki && rm -rf skills-src

Use ~/.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/

Facts

Skill name
llm-wiki
GitHub stars
116
Token cost
~1.5k tokens
SKILL.md length
616 words
Files
26 (incl. scripts, references, assets)
Skills in repo
3
Repo updated
First seen
Licence
Custom licence

At a glance

Builds and maintains a persistent, interlinked Obsidian-compatible markdown knowledge wiki in a git repo via three operations — ingest a source into linked pages, answer a question from the…

  • The user asks to ingest
  • SKILL.md covers The three layers, Finding the wiki, Operations (router) and Conventions, plus 2 more sections
  • Add a source into their wiki
  • Grow such a wiki

What it does

LLM Wiki is an agent skill from CharlesHoskinson/sevenlayer. Builds and maintains a persistent, interlinked Obsidian-compatible markdown knowledge wiki in a git repo via three operations — ingest a source into linked pages, answer a question from the accumulated wiki with citations, and lint the wiki for orphans, broken links, and contradictions. Use when the user asks to ingest or add a source into their wiki or knowledge base, init or grow such a wiki, ask what their wiki says about a topic, or lint and health-check it. Do not use for ad-hoc note-taking, code comments…

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 29 other files, including scripts, reference files and assets (for example `assets/category-index-template.md`, `assets/index-template.md` and `assets/log-template.md`). Compatibility notes: Base wiki ops need git (+ Python 3 for optional scripts). Web scraping (fetch/crawl) is optional and works only in local Claude Code with network access —…

It sits in Knowledge Management, covering LLM wikis, Linting and formatting and Technical documentation. It works with Git and Obsidian. The repository describes itself as: A Complete Guide to Zero-Knowledge Proof Systems.

When your agent uses it

  • The user asks to ingest
  • Add a source into their wiki
  • Grow such a wiki
  • Ask what their wiki says about a topic

Example prompts

  • “Use the llm-wiki skill to build and maintains a persistent, interlinked Obsidian-compatible markdown knowledge wiki in a git repo via three…”
  • “/llm-wiki”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Base wiki ops need git (+ Python 3 for optional scripts). Web scraping (fetch/crawl) is optional and works only in local Claude Code with network access — install Scrapling + trafilatura + a headless browser. Paper/PDF extraction needs pypdf. Scraping is unavailable on the Claude API sandbox (no network/installs) and unreliable on claude.ai.
  • Pre-approved tools (allowed-tools): Bash(python3 *)

What it can do on your machine

Read from SKILL.md and the folder at commit 2789e5a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash(python3 *)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/, which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    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.

  • Compatibility

    Base wiki ops need git (+ Python 3 for optional scripts). Web scraping (fetch/crawl) is optional and works only in local Claude Code with network access — install Scrapling + trafilatura + a headless browser. Paper/PDF extraction needs pypdf. Scraping is unavailable on the Claude API sandbox (no network/installs) and unreliable on claude.ai.

    From compatibility in the SKILL.md frontmatter.

Context cost

LLM Wiki loads about 1.5k tokens when it runs, and up to ~24k if it reads all its reference files. Until then it costs about 142 tokens; SKILL.md has 616 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~142
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~24k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 616 words (~1,468 tokens).

“Knowledge is compiled once on ingest and kept current, so synthesis, cross-references, and contradictions already exist before any question is asked — the opposite of query-time RAG, where the model re-derives everything from raw chunks on every query.”

— opening of SKILL.md by CharlesHoskinson, Custom licence
name
llm-wiki
allowed-tools
Bash(python3 *)
compatibility
Base wiki ops need git (+ Python 3 for optional scripts). Web scraping (fetch/crawl) is optional and works only in local Claude Code with network access — install Scrapling + trafilatura + a headless browser. Paper/PDF extraction needs pypdf. Scraping is unavailable on the Claude API sandbox (no network/installs) and unreliable on claude.ai.
metadata.version
0.3.0
metadata.author
Charles Hoskinson

Read the full SKILL.md on GitHub

Files

SKILL.md and 25 other files (scripts, references, assets) in .claude/skills/llm-wiki of CharlesHoskinson/sevenlayer.

  • SKILL.md
  • assets/category-index-template.md
  • assets/index-template.md
  • assets/log-template.md
  • assets/page-templates/concept.md
  • assets/page-templates/entity.md
  • assets/page-templates/map.md
  • assets/page-templates/source.md
  • assets/page-templates/synthesis.md
  • assets/schema-template.md
  • references/conventions.md
  • references/evals.md
  • references/obsidian-setup.md
  • references/operations/ingest.md
  • references/operations/init.md
  • references/operations/lint.md
  • references/operations/query.md
  • … and 9 more

Open the folder on GitHubat commit 2789e5a

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.

LLM Wiki compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
LLM Wiki this skillCharlesHoskinson/sevenlayer116—~1.5kAutomated safety check: PassCustom licence
LLM Wikilewislulu/llm-wiki-skill655—~3.7kAutomated safety check: PassNone
Knowledge Base Health Lintjason-effi-lab/karpathy-llm-wiki-vault720—~336Automated safety check: PassNone
Wiki Vault Queryjason-effi-lab/karpathy-llm-wiki-vault720—~383Automated safety check: PassNone
LLM Wikipraneybehl/llm-wiki-plugin118—~5.7kAutomated safety check: PassMIT
My LLM WikiMartinLwx/dotfiles140—~2.7kAutomated safety check: PassNone

Similar skills

  • LLM Wiki

    lewislulu/llm-wiki-skill

    Build and maintain a Karpathy-style LLM knowledge base — a self-compiling Obsidian markdown wiki where an Agent ingests raw sources, compiles cross-linked concept/entity/summary pages, answers…

    655 GitHub stars~3.7k tokensUpdated 5 mo ago
    Knowledge ManagementAuto-check passed
  • Knowledge Base Health Lint

    jason-effi-lab/karpathy-llm-wiki-vault

    Scans an Obsidian-style wiki for broken double-link references, orphan pages, files missing from the index and unresolved knowledge conflicts, then reports the findings.

    720 GitHub stars~336 tokensUpdated 5 mo ago
    Knowledge ManagementAuto-check passed
  • Wiki Vault Query

    jason-effi-lab/karpathy-llm-wiki-vault

    Answers questions from a local Obsidian-style wiki by reading its index first, then the relevant pages, and replying with wiki-link citations instead of model memory.

    720 GitHub stars~383 tokensUpdated 5 mo ago
    Knowledge ManagementAuto-check passed
  • LLM Wiki

    praneybehl/llm-wiki-plugin

    Build and maintain an LLM-curated knowledge base from papers, articles, transcripts, notes and project findings.

    118 GitHub stars~5.7k tokensUpdated 26 days ago
    Knowledge ManagementAuto-check passed
  • My LLM Wiki

    MartinLwx/dotfiles

    Provides access to the user's personal wiki, including notes, research, project documentation, decisions, and archived knowledge.

    140 GitHub stars~2.7k tokensUpdated yesterday
    Knowledge ManagementAuto-check passed
  • Obsidian Vault Ingest Pipeline

    jason-effi-lab/karpathy-llm-wiki-vault

    Compiles raw articles, papers and transcripts sitting in an inbox folder into linked Obsidian source, entity and concept pages, then archives the originals.

    720 GitHub stars~669 tokensUpdated 5 mo ago
    Knowledge ManagementAuto-check passed

More from CharlesHoskinson/sevenlayer

  • Math Explainer

    CharlesHoskinson/sevenlayer

    A skill your agent uses when drafting a mathematical concept explanation for the "Proving Nothing" book — produces book-ready, dependency-aware, multimodal (Sage + manim), fact-checked material…

    116 GitHub stars~805 tokensUpdated 1 mo ago
    Auto-check passed
  • Graphify

    CharlesHoskinson/sevenlayer

    any input (code, docs, papers, images) → knowledge graph → clustered communities → HTML + JSON + audit report

    116 GitHub starsUsed in 1 repo~11k tokens
    Auto-check passed

Works with

Questions about LLM Wiki

What does LLM Wiki do?

Builds and maintains a persistent, interlinked Obsidian-compatible markdown knowledge wiki in a git repo via three operations — ingest a source into linked pages, answer a question from the…. LLM Wiki is an agent skill from CharlesHoskinson/sevenlayer. Builds and maintains a persistent, interlinked Obsidian-compatible markdown knowledge wiki in a git repo via three operations — ingest a source into linked pages, answer a question from the accumulated wiki with citations, and lint the wiki for orphans, broken links, and contradictions.

When should I use LLM Wiki?

LLM Wiki fits situations like: the user asks to ingest; add a source into their wiki; grow such a wiki; ask what their wiki says about a topic.

How do I install LLM Wiki in Claude Code?

Run `npx skills add CharlesHoskinson/sevenlayer --skill llm-wiki -a claude-code`. Or copy the skill folder (.claude/skills/llm-wiki in CharlesHoskinson/sevenlayer) 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 CharlesHoskinson/sevenlayer --skill llm-wiki -a codex`. Or copy the skill folder (.claude/skills/llm-wiki in CharlesHoskinson/sevenlayer) 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 CharlesHoskinson/sevenlayer --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?

SKILL.md names no scripts, command-line tools or credentials: LLM Wiki is instructions for the agent only. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash(python3 *). Compatibility (from SKILL.md): Base wiki ops need git (+ Python 3 for optional scripts). Web scraping (fetch/crawl) is optional and works only in local Claude Code with network access — install Scrapling + trafilatura + a headless browser. Paper/PDF extraction needs pypdf. Scraping is unavailable on the Claude API sandbox (no network/installs) and unreliable on claude.ai..

Does LLM Wiki access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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 has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does LLM Wiki use?

About 1.5k tokens (SKILL.md is roughly 5.9k 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 23k 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 (lewislulu/llm-wiki-skill, 655 stars), Knowledge Base Health Lint (jason-effi-lab/karpathy-llm-wiki-vault, 720 stars), Wiki Vault Query (jason-effi-lab/karpathy-llm-wiki-vault, 720 stars) and LLM Wiki (praneybehl/llm-wiki-plugin, 118 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains LLM Wiki?

CharlesHoskinson (a GitHub user) maintains it in CharlesHoskinson/sevenlayer, which has 116 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on August 31, 2026.

Source: CharlesHoskinson/sevenlayer on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.