llmwiki-sync
llmwiki-sync automates the full pipeline from Claude Code session transcripts to a searchable, LLM-maintained knowledge base. It converts raw session logs to markdown, ingests them into wiki structure (sources, entities, concepts), and optionally builds a static HTML site. Use it to keep your work history organized and queryable across projects.
llmwiki-sync pulls your Claude Code session transcripts into a local wiki knowledge base for searchable reference.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-06-18
llmwiki-sync pulls your Claude Code session transcripts into a local wiki knowledge base for searchable reference. llmwiki-sync automates the full pipeline from Claude Code session transcripts to a searchable, LLM-maintained knowledge base. It converts raw session logs to markdown, ingests them into wiki structure (sources, entities, concepts), and optionally builds a static HTML site. Use it to keep your work history organized and queryable across projects.
Use it when
- llmwiki-sync pulls your Claude Code session transcripts and automatically converts them into structured wiki format.
- Yes.
Verify before relying
Read SKILL.md below before installing (1 file). Open directory: indexed for reading, not audited.
Install
Pratiyush/llm-wiki/llmwiki-sync · repository language: Python
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Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
What does llmwiki-sync do?
llmwiki-sync automates the full pipeline from Claude Code session transcripts to a searchable, LLM-maintained knowledge base. It converts raw session logs to markdown, ingests them into wiki structure (sources, entities, concepts), and optionally builds a static HTML site. Use it to keep your work history organized and queryable across projects.
How do I sync my Claude Code transcripts?
llmwiki-sync pulls your Claude Code session transcripts and automatically converts them into structured wiki format. The tool handles the entire ingestion pipeline—parsing session logs, extracting entities and concepts, organizing them into wiki structure, and syncing them into your local knowledge base without manual intervention.
Can llmwiki-sync refresh the knowledge base with latest sessions?
Yes. llmwiki-sync is designed to refresh your personal knowledge base with your latest work history and context. It ingests recent project sessions into structured wiki format and can automate wiki updates from Claude Code session transcripts on demand or on a schedule.
What format does llmwiki-sync convert session transcripts to?
llmwiki-sync converts Claude Code session transcripts to markdown and organizes them into a wiki structure with sources, entities, and concepts. It can also optionally build a static HTML site from your synced session data, making your work history searchable and accessible.
How do I query information from llmwiki-sync?
llmwiki-sync syncs your session data into a local wiki knowledge base that you can query and retrieve from. Once your Claude Code transcripts are ingested and converted to structured wiki format, you can search across your work history, projects, and recent sessions to stay caught up on what you've been working on.
SKILL.md
Rendered from the published skill. Quoted content, verbatim.
llmwiki-sync
What this skill does
The user maintains a Karpathy-style LLM Wiki — a local, file-based knowledge base compiled from their Claude Code (and Codex CLI) session transcripts.
This skill runs the full sync pipeline:
~/.claude/projects/*/*.jsonl (raw session transcripts)
│
▼ python3 -m llmwiki sync
llmwiki/raw/sessions/<proj>/*.md (Karpathy layer 1 — immutable markdown)
│
▼ /wiki-ingest (Claude in the loop)
llmwiki/wiki/sources, entities, (Karpathy layer 2 — LLM-maintained wiki)
concepts, syntheses
│
▼ python3 -m llmwiki build
llmwiki/site/ (Karpathy layer 3 — static HTML)
When to use
Invoke this skill when the
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.claude/skills/llmwiki-sync/SKILL.md
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Related skills
llmwiki-ingest transforms source files into interconnected wiki pages by extracting entities, concepts, and relationships. It writes source summaries, creates or updates entity and concept pages, cross-links everything, and flags contradictions—all while maintaining a searchable index and activity log. Perfect for building knowledge bases from session transcripts, markdown files, PDFs, and URLs.
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.
This skill searches your local llmwiki—a knowledge base built from your Claude Code, Cursor, and other session history—to answer questions about your own work and decisions. It reads relevant wiki pages, synthesizes answers with inline citations, and can save substantial responses as new synthesis pages for future reference.
This skill performs a complete health check on projects following the Open Source Framework pipeline. It verifies phase gates, syncs task tracking across multiple sources, identifies stale content and broken links, and surfaces exactly what needs attention next. Use it for maintenance checks, progress updates, or whenever you need clarity on project status.
self-learn captures patterns, failures, and decisions from substantial sessions, scores them for generality and confidence, then proposes targeted framework updates—from project-specific steering rules to cross-cutting framework changes. It's the mechanism that lets your framework evolve from real usage, surfacing diffs for approval before any changes apply.
This skill guides you through establishing a wiki knowledge base on NanoClaw following Karpathy's LLM Wiki architecture. It walks you through choosing a group, designing your wiki's structure and conventions, creating the necessary directories and schema layer, and configuring how the agent ingests and maintains sources. Each step is idempotent—safe to re-run without clobbering existing work.
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