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Agent skill

Wiki All

by Pratiyush in Pratiyush/llm-wiki

Run the complete llmwiki pipeline from scratch — init, sync, graph, build, lint, and serve.

MITAuto-check passedKnowledge Management

Install Wiki All

skills CLI
$ npx skills add Pratiyush/llm-wiki --skill wiki-all -a claude-code

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

GitHub CLI
$ gh skill install Pratiyush/llm-wiki wiki-all --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/Pratiyush/llm-wiki.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/wiki-all .claude/skills/wiki-all && 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
wiki-all
GitHub stars
397
Token cost
~587 tokens
SKILL.md length
233 words
Files
1
Skills in repo
6
Repo updated
First seen
Licence
MIT

At a glance

Run the complete llmwiki pipeline from scratch — init, sync, graph, build, lint, and serve.

  • Works in 6 steps: Init → Sync → Graph → …
  • The user says run everything
  • SKILL.md covers What this skill does, Steps and After completion
  • Calls python3

What it does

Wiki All is an agent skill from Pratiyush/llm-wiki. Run the complete llmwiki pipeline from scratch — init, sync, graph, build, lint, and serve. Use when the user says "run everything", "full pipeline", "wiki-all", or wants to rebuild the entire wiki from session history.

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Knowledge Management, covering LLM wikis and Linting and formatting. It works with Obsidian. The repository describes itself as: LLM-powered knowledge base from your Claude Code, Codex CLI, Copilot, Cursor & Gemini sessions. Karpathy's LLM Wiki pattern — implemented and shipped. The licence is MIT.

When your agent uses it

  • The user says run everything
  • Wants to rebuild the entire wiki from session history

Example prompts

  • “run everything”
  • “full pipeline”
  • “wiki-all”
  • “/wiki-all”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Init
  2. Sync
  3. Graph
  4. Build
  5. Lint
  6. Serve

What it can do on your machine

Read from SKILL.md and the folder at commit b108889. 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

    Shell commands in SKILL.md call:

    • python3

    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.

Context cost

Wiki All loads about 587 tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 233 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~587

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from Pratiyush/llm-wiki at commit b108889, republished under its MIT licence (© Pratiyush). 233 words, ~587 tokens.

Download SKILL.mdSave it as .claude/skills/wiki-all/SKILL.md (or your agent's skills folder).
name
wiki-all
description
Run the complete llmwiki pipeline from scratch — init, sync, graph, build, lint, and serve. Use when the user says "run everything", "full pipeline", "wiki-all", or wants to rebuild the entire wiki from session history.

wiki-all

What this skill does

Runs the complete llmwiki pipeline in the correct sequence:

  1. init — scaffold raw/, wiki/, site/ directories
  2. sync — convert .jsonl sessions to markdown
  3. graph — build Graphify AI knowledge graph (communities, god nodes, hyperedges)
  4. build — compile wiki/ markdown into site/ HTML
  5. lint — run 14 quality rules, report issues
  6. serve — start local server at http://127.0.0.1:8765

Steps

Run each step in order. Report the result of each before proceeding to the next.

Step 1: Init
bash
python3 -m llmwiki init

Report what was created or confirmed.

Step 2: Sync
bash
python3 -m llmwiki sync --no-auto-build --no-auto-lint

Report: how many sessions converted, how many unchanged, any errors.

If new sessions were converted, follow the Ingest Workflow from CLAUDE.md for each new file (create/update entity + concept pages, cross-link, update index).

Step 3: Graph
bash
python3 -m llmwiki graph

Report: node count, edge count, community count, top 5 connected nodes.

Ask the user: "Export graph to Obsidian vault?" If yes:

python
python3 -c "
from llmwiki.graphify_bridge import export_to_obsidian
from pathlib import Path
export_to_obsidian(Path.home() / 'Documents/Obsidian Vault/Temp/Graph')
"
Step 4: Build
bash
python3 -m llmwiki build

Report: HTML file count, total size, export formats written.

Step 5: Lint
bash
python3 -m llmwiki lint

Report: total issues by severity (errors, warnings, info). Highlight any errors that need immediate attention.

Step 6: Serve

Ask the user: "Start the local server?" If yes:

bash
python3 -m llmwiki serve --open

Report the URL: http://127.0.0.1:8765

After completion

Report a summary table:

StepResult
initN dirs, M seed files
syncN converted, M unchanged
graphN nodes, M edges, K communities
buildN HTML files, M MB
lintN issues (E errors, W warnings)
servehttp://127.0.0.1:8765

© Pratiyush, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/wiki-all of Pratiyush/llm-wiki.

Open the folder on GitHubat commit b108889

Compare with similar skills

Wiki All 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.

Wiki All compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Wiki All this skillPratiyush/llm-wiki397—~587Automated safety check: PassMIT
LLM Wikilewislulu/llm-wiki-skill655—~3.7kAutomated safety check: PassNone
LLM WikiCharlesHoskinson/sevenlayer116—~1.5kAutomated safety check: PassCustom licence
Knowledge Base Health Lintjason-effi-lab/karpathy-llm-wiki-vault720—~336Automated safety check: PassNone
Obsidian Wiki LinterAgriciDaniel/claude-obsidian15k—~938Automated safety check: PassMIT
Wiki DedupAr9av/obsidian-wiki3.5k—~3.8kAutomated safety check: NotesMIT

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

  • LLM Wiki

    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…

    116 GitHub stars~1.5k tokensUpdated 1 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

  • Obsidian Wiki Linter

    AgriciDaniel/claude-obsidian

    Runs a deterministic, read-only health check on an Obsidian vault, reporting dead or ambiguous links, orphan pages, missing frontmatter, empty sections and stale index entries.

    15k GitHub stars~938 tokensUpdated 29 days ago
    Knowledge ManagementAuto-check passed

  • Wiki Dedup

    Ar9av/obsidian-wiki

    Detect and merge wiki pages representing the same concept under different names.

    3.5k GitHub stars~3.8k tokensUpdated yesterday
    Knowledge ManagementAuto-check: notes

  • Second Brain

    coreyhaines31/makerskills

    When you want to capture into, compile, query, lint, or connect your personal Second Brain.

    850 GitHub stars~3k tokensUpdated yesterday
    Knowledge ManagementAuto-check passed

More from Pratiyush/llm-wiki

  • Llmwiki Query

    Pratiyush/llm-wiki

    Answer a question by querying the user's llmwiki. An agent skill from Pratiyush/llm-wiki.

    397 GitHub stars~684 tokensUpdated 3 mo ago
    Auto-check passed

  • Llmwiki Sync

    Pratiyush/llm-wiki

    Sync Claude Code session transcripts into the user's llmwiki and ingest them into the wiki.

    397 GitHub stars~1.1k tokensUpdated 3 mo ago
    Auto-check passed

  • Project Maintainer

    Pratiyush/llm-wiki

    Maintain an llmwiki-style open-source project across the full framework pipeline.

    397 GitHub stars~1.4k tokensUpdated 3 mo ago
    Auto-check passed

  • Self Learn

    Pratiyush/llm-wiki

    Extract reusable patterns from recent sessions, propose framework improvements, and (with approval) update the framework docs.

    397 GitHub stars~1.6k tokensUpdated 3 mo ago
    Auto-check passed

  • Llmwiki Ingest

    Pratiyush/llm-wiki

    Ingest one source document (or a folder of them) into the llmwiki.

    397 GitHub stars~691 tokensUpdated 3 mo ago
    Auto-check passed

Works with

Categories

Questions about Wiki All

What does Wiki All do?

Run the complete llmwiki pipeline from scratch — init, sync, graph, build, lint, and serve. Wiki All is an agent skill from Pratiyush/llm-wiki. Run the complete llmwiki pipeline from scratch — init, sync, graph, build, lint, and serve.

When should I use Wiki All?

Wiki All fits situations like: the user says run everything; wants to rebuild the entire wiki from session history.

How do I install Wiki All in Claude Code?

Run `npx skills add Pratiyush/llm-wiki --skill wiki-all -a claude-code`. Or copy the skill folder (.claude/skills/wiki-all in Pratiyush/llm-wiki) into .claude/skills/wiki-all in your project. Claude Code loads it when a task matches its description.

How do I install Wiki All in Codex?

Run `npx skills add Pratiyush/llm-wiki --skill wiki-all -a codex`. Or copy the skill folder (.claude/skills/wiki-all in Pratiyush/llm-wiki) into .agents/skills/wiki-all in your project. Codex loads it when a task matches its description.

Can I use Wiki All 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 Pratiyush/llm-wiki --skill wiki-all -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wiki-all, .gemini/skills/wiki-all, .github/skills/wiki-all and .opencode/skills/wiki-all in your project.

What does Wiki All need to run?

Going by SKILL.md and its folder, Wiki All needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Wiki All 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 Wiki All 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. Review the folder before installing.

What licence does Wiki All use?

Wiki All is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Wiki All use?

About 587 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Wiki All?

Skills that share tags, products or a category with Wiki All: LLM Wiki (lewislulu/llm-wiki-skill, 655 stars), LLM Wiki (CharlesHoskinson/sevenlayer, 116 stars), Knowledge Base Health Lint (jason-effi-lab/karpathy-llm-wiki-vault, 720 stars) and Obsidian Wiki Linter (AgriciDaniel/claude-obsidian, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wiki All?

Pratiyush (a GitHub user) maintains it in Pratiyush/llm-wiki, which has 397 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on June 18, 2026.

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