pratiyush / wiki-all

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: