Day-one intelligence gathering for newly released AI models (LLMs, generative media). Produces comprehensive VIBES + DEETS reports within hours of launch.
Launch 4-5 parallel research agents to capture real-time reactions to new AI model releases:
- 🐦 Twitter/X sentiment with engagement metrics
- 💬 Community reactions (HN, Reddit, forums)
- 📊 Technical benchmarks (independent validation)
- 🏢 Enterprise testimonials and production metrics
- 🎯 Competitive positioning analysis
- ❓ Key unknowns for future investigation
Time to first report: 3-5 minutes after running the command.
Paste both lines into Claude Code:
/plugin marketplace add elrolio/skills
/plugin install model-intel@elrolio
Or drop the skill in by hand:
git clone https://github.com/elrolio/model-intel-skill.git /tmp/mis
cp -R /tmp/mis/skills/model-intel ~/.claude/skills/claude "/model-intel GPT-5 Pro"Output saved to: intel/competitive/[model-name-slug]-launch-intelligence-[date].md
See real intelligence report from Claude Opus 4.6 launch: examples/example-output-opus-4.6.md
Includes:
- Morning pulse (1-3 hrs post-launch)
- Afternoon pulse (8-16 hrs post-launch)
- Complete VIBES + DEETS analysis
- 50+ cited sources
| Tier | Setup Time | Quality | Cost/Run | Dependencies |
|---|---|---|---|---|
| Minimal | 5 min | 60% | $0.20-0.50 | Built-in tools only |
| Recommended | 15 min | 95% | $0.50-1.50 | + Rube MCP (Twitter API) |
| Full Stack | 30 min | 100% | $0.50-1.50 | + Notion + Memory MCP |
Start with Recommended for best results.
- INDEX.md - Start here (navigation)
- INSTALL.md - Fastest setup path
- SETUP-GUIDE.md - Complete instructions
- DEPENDENCIES.md - Tier comparison
- README.md - Skill usage reference
- Claude Code (any recent version)
- Internet connection
- Recommended: Rube MCP for Twitter API access (setup)
- Optional: Notion MCP for publishing, Memory MCP for context
# Initial morning pulse (within 8 hrs of launch)
claude "/model-intel Claude Opus 4.6"
# Afternoon update (12-16 hrs later)
claude "/model-intel afternoon update for Claude Opus 4.6. morning report: [URL]"
# Test your setup
claude "/model-intel test"VIBES (Social Sentiment):
- What people are hyped about (themes by frequency)
- What people are concerned about (with attribution)
- Community pulse (HN, Reddit, forums)
DEETS (Technical Analysis):
- Verified performance strengths (benchmarks)
- Critical technical limitations
- Enterprise validation (real production metrics)
- Breaking changes and migration notes
Plus: Competitive positioning, strategic implications, key unknowns, full sources.
# Claude Opus 4.6 Launch Intelligence (Feb 5, 2026)
## Executive Summary
[3 paragraphs: standout capabilities, major concerns, positioning]
## THE VIBES
- What People Are Hyped About
- What People Are Concerned About
- Community Forums
## THE DEETS
- Technical Specifications (table)
- Benchmarks Performance (table)
- Enterprise Validation (table)
- Breaking Changes
## Competitive Positioning
[vs GPT-5, vs Gemini, vs Open Source]
## Key Unknowns
[5-7 questions for future investigation]
## Sources
[Organized by category: Official, News, Technical, Community, Enterprise]See complete example.
Fork this repo and customize for your needs:
- Modify research sources
- Adjust output format
- Add custom agents
- Change report structure
Pull requests welcome for:
- New research sources
- Better dependency instructions
- Alternative MCP integrations
- Output format improvements
Per intelligence run (with Rube MCP):
- Research agents: ~$0.50-1.50
- Token consumption: 100K-200K tokens
- Afternoon updates: ~50% of initial run cost
Composio free tier: 1,000 API actions/month (plenty for model tracking)
- 1.0 (2026-02-06): Initial release
- 5-agent parallel research protocol
- VIBES + DEETS output structure
- Rube MCP integration for Twitter/X
- Afternoon pulse update support
- Example output from Opus 4.6 launch
MIT License - feel free to fork, modify, and share.
Developed for strategic intelligence gathering on AI model launches. Methodology optimized for Product/Engineering teams conducting evals and Marketing teams tracking narrative.
Maintained by: @elrolio
- Check SETUP-GUIDE.md for troubleshooting
- Review example output to understand format
- Open an issue for bugs or questions
Ready to install? → Start with INSTALL.md