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Ai Products

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Curate AI product launches from Product Hunt, Hacker News, GitHub, and Techmeme. Use when user invokes /ai-products or when /start-my-day needs product launches.

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  • Added September 27, 2026
toolspythongogitapi

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  • api

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Scanned September 27, 2026

npx -y skills add David-Li0406/meta-skill-evloving --skill ai-products --agent claude-code

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SKILL.md
---
name: ai-products
description: Curate AI product launches from Product Hunt, Hacker News, GitHub, and Techmeme. Use when user invokes /ai-products or when /start-my-day needs product launches.
---
# AI Product Discovery

Fetch, deduplicate, and rank AI product launches from multiple sources.

## Sources

| Source | URL | Notes |
|--------|-----|-------|
| Product Hunt | `https://www.producthunt.com/feed` | Filter for AI-related |
| Hacker News | `https://hn.algolia.com/api/v1/search?tags=show_hn&numericFilters=created_at_i>TIMESTAMP` | Show HN posts, 24h window |
| GitHub Trending | `https://mshibanami.github.io/GitHubTrendingRSS/daily/python.xml` | Python repos |
| Techmeme | `https://techmeme.com/river` | Product announcements |

## Workflow

1. **Check cache**: Look for `50_Resources/ProductLaunches/YYYY-MM/YYYY-MM-DD-Digest.md`. If exists with today's date, return cached.

2. **Fetch sources**: Use WebFetch on each. Extract product name, URL, description, and engagement metrics (votes/points/stars).

3. **Filter**: Keep only AI-related products (keywords: AI, ML, LLM, GPT, Claude, automation, agent, model).

4. **Deduplicate**: Same product across sources = merge. Keep best description, combine metrics, track all sources.

5. **Rank by**:
   - AI relevance
   - Engagement (normalize: PH votes/500, HN points/100, GH stars/1000)
   - Content potential (tutorial-friendly, review-worthy, open source bonus)
   - Recency and novelty

6. **Generate digest**: See [TEMPLATE.md](TEMPLATE.md). Sections:
   - Top Picks (3-5) with content angles
   - LLM & AI Models
   - Developer Tools
   - Productivity & Automation
   - Open Source Highlights

7. **Save files**:
   - `50_Resources/ProductLaunches/YYYY-MM/YYYY-MM-DD-Digest.md`
   - `50_Resources/ProductLaunches/YYYY-MM/Raw/YYYY-MM-DD_ProductHunt-Raw.md`
   - `50_Resources/ProductLaunches/YYYY-MM/Raw/YYYY-MM-DD_HackerNews-Raw.md`
   - `50_Resources/ProductLaunches/YYYY-MM/Raw/YYYY-MM-DD_GitHub-Raw.md`

## Output Format

**Manual invocation**: Full digest with all sections.

**From /start-my-day**: Condensed list:
```
**Product Launch Opportunities (5):**
- [Product] - [Angle] - [Top metric]
...
Full digest: [[YYYY-MM-DD-Digest]]
```

## Error Handling

- Source down: Continue with others, note in digest
- <2 sources available: Fall back to yesterday's archive
- Empty results: Create minimal digest noting "No new AI products"

## Content Angle Logic

- High engagement + tutorial-friendly: "Tutorial opportunity"
- Novel + early stage: "First-mover advantage"
- Open source + complex: "Deep dive analysis"
- SaaS + practical: "Tool review"
- Similar to existing: "Comparison vs [competitor]"

Files in this skill

  • SKILL.md2.6 KB
  • TEMPLATE.md1.4 KB

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