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/wiki-all

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.

From plugin
llmwiki
4006 skills18 commands

Claude Code

$ npx -y skills add Pratiyush/llm-wiki --skill wiki-all --agent claude-code

SKILL.md

wiki-all.SKILL.md
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

python3 -m llmwiki init

Report what was created or confirmed.

Step 2: Sync

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

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:

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

python3 -m llmwiki build

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

Step 5: Lint

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:

python3 -m llmwiki serve --open

Report the URL: http://127.0.0.1:8765

After completion

Report a summary table:

| Step | Result | |------|--------| | init | N dirs, M seed files | | sync | N converted, M unchanged | | graph | N nodes, M edges, K communities | | build | N HTML files, M MB | | lint | N issues (E errors, W warnings) | | serve | http://127.0.0.1:8765 |

Read more
@pratiyush
Ships withllmwiki

LLM-powered knowledge base from your Claude Code, Codex CLI, Cursor, Gemini CLI, and Obsidian sessions. Built on Andrej Karpathy's LLM Wiki pattern.

Stars on GitHub

Momentum

stars in total
400
Star history of Pratiyush/llm-wiki on GitHub, a chart by star-history.com

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Questions about wiki-all.

Which coding agents can use wiki-all?
wiki-all installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.