slack-context-memory
✓Verified·Scanned 2/17/2026
This skill compresses Slack conversation history into structured summaries and stores them with embeddings for semantic search. It reads SLACK_DB_URL, EMBEDDING_API_URL, EMBEDDING_API_KEY, and ANTHROPIC_API_KEY from the environment and makes external API calls; the README shows running the provided node scripts.
from clawhub.ai·v7b644fe·51.9 KB·0 installs
Scanned from 2.0.0 at 7b644fe · Transparency log ↗
$ vett add clawhub.ai/davidrudduck/slack-context-memory
Slack Context Memory
Compress Slack conversation history into searchable summaries for context-efficient sessions.
Problem Solved
Clawdbot sessions lose context as conversation history grows. This skill:
- Detects conversation boundaries in Slack message history
- Generates structured summaries (TL;DR, decisions, topics, outcome)
- Stores summaries with embeddings for semantic search
- Compacts context - replace 1000s of messages with a few summaries
- Enables semantic retrieval - find relevant past discussions
Quick Start
# Setup database schema
cd /home/david/clawd/scripts/slack-context-memory
node setup-schema.js
# View compacted context for a channel
node context-compactor.js C0ABGHA7CBE
# Compare original vs compacted size
node context-compactor.js C0ABGHA7CBE --compare
# Search for relevant conversations
node context-compactor.js --query "email newsletter filtering"
Token Savings
| Channel | Original | Compacted | Savings |
|---|---|---|---|
| #accounts (1000 msgs) | 112K tokens | 951 tokens | 99.2% |
| #homeassistant (50 msgs) | 3.1K tokens | 911 tokens | 70.8% |
Components
Conversation Detection
node detect-conversations.js <channel_id>
node detect-conversations.js --all
Context Compaction
node context-compactor.js <channel_id> --recent 20
node context-compactor.js <channel_id> --compare
node context-compactor.js --query "search term"
Search
node search-conversations.js semantic "query"
node search-conversations.js text "query"
node search-conversations.js recent --limit 10
Requirements
- PostgreSQL database with pgvector
- Node.js 18+
- Slack message history in database
Database Schema
The conversation_summaries table stores:
tldr- 1-2 sentence summaryfull_summary- Detailed summarykey_decisions- Array of decisions madetopics- Array of topics discussedoutcome- resolved/ongoing/needs-follow-upembedding- Vector for semantic search (1024-dim)
Built for Clawdbot 🦞 | 2026-01-28