wiki-all
wiki-all orchestrates the entire llmwiki workflow in sequence: initializing directories, syncing session data to markdown, constructing knowledge graphs with Graphify AI, compiling HTML output, running 14 quality checks, and launching a local server. Use it when you need to rebuild your wiki from scratch or refresh everything at once.
wiki-all executes the complete llmwiki pipeline—init, sync, graph, build, lint, and serve—in one orchestrated run.
AI-generated summary based on this skill's SKILL.md
Install
Pratiyush/llm-wiki/wiki-all · repository language: Python
git clone https://github.com/Pratiyush/llm-wiki
cp -r llm-wiki/.claude/skills/wiki-all ~/.claude/skills/wiki-allFrequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How do I run the complete wiki pipeline?
wiki-all orchestrates your entire llmwiki workflow in one command. It initializes directories, syncs session data to markdown, constructs knowledge graphs with Graphify AI, compiles HTML output, runs 14 quality checks, and launches a local server. Use wiki-all when you need to rebuild your wiki from scratch or refresh everything at once.
What does wiki-all full rebuild accomplish?
wiki-all's full rebuild regenerates your entire wiki knowledge base and HTML site in sequence. It starts fresh by initializing directories, converts your session history to wiki markdown, builds the knowledge graph, validates quality across 14 checks, and serves the result locally. This is ideal when you want a complete refresh from initialization through serving.
Can wiki-all run all wiki steps at once?
Yes, wiki-all executes every sequential wiki step automatically with progress reporting. It handles init, sync, graph construction, HTML generation, linting, and serving in one unified command. This automation eliminates manual step-by-step execution and ensures nothing is skipped.
How does wiki-all convert session history to wiki?
wiki-all includes session-to-wiki conversion that validates quality throughout the process. It transforms your session history into structured wiki markdown, generates a knowledge graph, and exports it for use in tools like Obsidian. The entire pipeline runs sequentially with built-in quality assurance.
What is the license for wiki-all?
wiki-all is released under the MIT license, allowing free use, modification, and distribution with minimal restrictions.
SKILL.md
rendered from the published skill — quoted content, verbatim
wiki-all
What this skill does
Runs the complete llmwiki pipeline in the correct sequence:
- init — scaffold
raw/,wiki/,site/directories - sync — convert
.jsonlsessions to markdown - graph — build Graphify AI knowledge graph (communities, god nodes, hyperedges)
- build — compile
wiki/markdown intosite/HTML - lint — run 14 quality rules, report issues
- 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,
(truncated - see the full file via the links below)
Read as markdown · JSON record · Browse the source repository
File tree — 1 file
.claude/skills/wiki-all/SKILL.md