# Tama Community Summarizer

> Summarize shared research pool for community insights

- Skill: `creanlab/tama-community-summarizer` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add creanlab/tama-community-summarizer`
- Raw SKILL.md: https://api.skillmd.com/api/skills/creanlab/tama-community-summarizer/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: creanlab (https://skillmd.com/u/creanlab)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/creanlab/tama-community-summarizer

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# TAMA Community Summarizer

> Aggregates and summarizes research pool data for community intelligence.

## When to Use

After receiving packs in `research-pool/incoming/` or when querying community data.

## Procedure

### 1. Collect Packs
Read all files in `research-pool/incoming/`.

### 2. Aggregate
Count by:
- Failure family (which families are most common?)
- Violated invariant (which rules are broken most?)
- Repair operator (which fixes are most reusable?)
- Stack tags (which stacks have most issues?)

### 3. Identify Patterns
- Most common failure families → community anti-patterns
- Most effective repair operators → community best practices
- Transferability hotspots → universally applicable lessons

### 4. Generate Summary
Save to `research-pool/summaries/SUMMARY-YYYYMMDD.json`:
```json
{
  "summary_date": "2026-03-18",
  "total_packs": 5,
  "total_genomes": 42,
  "top_families": [
    { "family": "verification-skipped-before-done", "count": 12 },
    { "family": "silent-fallback-introduced", "count": 9 }
  ],
  "top_repair_operators": [
    { "operator": "add-e2e-verification-step", "count": 8 }
  ],
  "transfer_recommendations": [...]
}
```

### 5. For Dashboard
If integrated with frontend, provide community data via `/api/community` endpoint.