/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.
$ npx -y skills add Pratiyush/llm-wiki --skill wiki-all --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/wiki-all
Context preview
The summary Claude sees to decide when to auto-load this skill.
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.
SKILL.md
wiki-all.SKILL.mdname: 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
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 |
LLM-powered knowledge base from your Claude Code, Codex CLI, Cursor, Gemini CLI, and Obsidian sessions. Built on Andrej Karpathy's LLM Wiki pattern.
Repo: Pratiyush/llm-wiki
Other skills on llmwiki.
- /llmwiki-ingest
Ingest one source document (or a folder of them) into the llmwiki. Use when the user drops a new markdown file, PDF, or URL into the wiki and asks you to process it. The user will typically say "ingest this", "add this to the wiki", "process this file into the wiki", or point at
Open skill - /llmwiki-query
Answer a question by querying the user's llmwiki. Use when the user asks about their own past work — "what did I decide about X", "what have I been working on", "how did I solve Y", "what's my preferred approach to Z", or any question that the wiki (built from their session
Open skill - /llmwiki-sync
Sync Claude Code session transcripts into the user's llmwiki and ingest them into the wiki. Use when the user says "sync the wiki", "update llmwiki", "ingest recent sessions", "refresh the knowledge base", or asks a knowledge question that would benefit from up-to-date sessions.
Open skill - /project-maintainer
Maintain an llmwiki-style open-source project across the full framework pipeline. Use when the user says "maintain the project", "check my tasks", "update progress", "run phase gate", "do a monthly verify", "lint my wiki", "check stale entries", or invokes any form of ongoing
Open skill - /self-learn
Extract reusable patterns from recent sessions, propose framework improvements, and (with approval) update the framework docs. This is the dogfooding meta-loop — the project learns from its own usage. Use when the user says "learn from this", "what did we learn", "extract
Open skill

