By norrietaylor
Capture, search, and synthesize project knowledge into a searchable knowledge base from bookmarks, session notes, meeting minutes, and GitHub issues. Retrieve past decisions and discussions via natural language queries, and get synthesized research reports with citations and gap analysis.
Onboarding wizard — verify MCP connectivity, detect transport, and configure scheduled tasks via Claude Code routines
Display and adjust feed relevance thresholds for alerts and digests
Add, remove, or list monitored feed sources (RSS and GitHub)
Generate an ambient intelligence digest from recent feed activity with source suggestions
Search the knowledge base using natural language and return matching entries with provenance
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Team Knowledge, Distilled
Capture, classify, connect, and surface team knowledge through conversational commands.
Documentation · Skills · Quick Start · Roadmap · Slides
Distillery is a team knowledge base accessed through Claude Code skills. It refines raw information from working sessions, meetings, bookmarks, and conversations into concentrated, searchable knowledge — stored as vector embeddings in DuckDB and retrieved through natural language. Runs locally over stdio or as a hosted HTTP service with GitHub OAuth for team access.
Distillery captures the highest-value transformation — from noise to signal — and makes it a tool the whole team can use.
Full documentation: norrietaylor.github.io/distillery
Distillery provides 14 Claude Code slash commands:
| Skill | Purpose | Example |
|---|---|---|
/distill | Capture session knowledge with dedup detection | /distill "We decided to use DuckDB for local storage" |
/recall | Semantic search with provenance | /recall distributed caching strategies |
/pour | Multi-entry synthesis with citations | /pour how does our auth system work? |
/bookmark | Store URLs with auto-generated summaries | /bookmark https://example.com/article #caching |
/minutes | Meeting notes with append updates | /minutes --update standup-2026-03-22 |
/classify | Classify entries and triage review queue | /classify --inbox |
/watch | Manage monitored feed sources | /watch add github:duckdb/duckdb |
/radar | Ambient feed digest with source suggestions | /radar --days 7 |
/tune | Adjust feed relevance thresholds | /tune relevance 0.4 |
/digest | Team activity summary from internal entries | /digest --days 7 --project myapp |
/gh-sync | Sync GitHub issues/PRs into the knowledge base | /gh-sync owner/repo --issues |
/investigate | Deep context builder with relationship traversal | /investigate distributed caching |
/briefing | Team knowledge dashboard with metrics | /briefing --days 7 |
/setup | Onboarding wizard for MCP connectivity and config | /setup |
claude plugin marketplace add norrietaylor/distillery
claude plugin install distillery
This installs all 14 skills. The plugin does not configure an MCP server automatically — run /setup (below) to add one. The recommended setup runs locally via uvx --from 'distillery-mcp[fastembed]>=0.6.0' distillery-mcp — a private, self-contained knowledge base on your machine, with on-device fastembed embeddings (no API key required). Requires Python 3.11+ and uv (install: curl -LsSf https://astral.sh/uv/install.sh | sh).
The default fastembed provider runs offline with no API key. If you'd rather use a hosted embedding service, set DISTILLERY_EMBEDDING_PROVIDER and provide the matching API key:
# Jina (free tier at jina.ai)
export DISTILLERY_EMBEDDING_PROVIDER=jina
export JINA_API_KEY=jina_...
npx claudepluginhub norrietaylor/distillery --plugin distilleryAI-powered knowledge base management - Capture conversation learnings, maintain topic-specific KB files, Obsidian-compatible knowledge graph, structured dynamic context loading, and institutional knowledge in CLAUDE.md
Company knowledge management plugin — progressive context loading, knowledge quality engine, claude-mem integration
Flexible knowledge base scaffolding: personal KB, project docs, team collaboration with configurable entities, microdatabases, and VitePress portal
Local-first memory server — hybrid BM25+vector search, vault management, lint, and launchd lifecycle for project knowledge.
Bootstrap a wiki-first knowledge system into any project.
Query Intent Solutions' governed knowledge brain from Claude Code — qmd://-cited answers, per-user audit, deterministic governance. Compile, then govern.