infinite-gratitude
Multi-agent research that keeps bringing gifts back — like cats! Dispatch multiple agents to research a topic in parallel, compile findings, and iterate on new discoveries.
install
source · Clone the upstream repo
git clone https://github.com/sstklen/infinite-gratitude
Claude Code · Install into ~/.claude/skills/
git clone --depth=1 https://github.com/sstklen/infinite-gratitude ~/.claude/skills/sstklen-infinite-gratitude-infinite-gratitude
manifest:
SKILL.mdsource content
Infinite Gratitude 🐾
無限貓報恩 | 無限の恩返し Multi-agent research that keeps bringing gifts back — like cats! 🐱
Quick Reference
| Option | Values | Default |
|---|---|---|
| Required | - |
| quick / normal / deep | normal |
| 1-10 | 5 |
Usage
/infinite-gratitude "pet AI recognition" /infinite-gratitude "RAG best practices" --depth deep /infinite-gratitude "React state management" --agents 3
Behavior
Step 1: Split Directions
Split
{topic} into 5 parallel research directions:
- GitHub projects
- HuggingFace models
- Papers / articles
- Competitors
- Best practices
Step 2: Dispatch Agents
Task( prompt="Research {direction} for {topic}...", subagent_type="research-scout", model="haiku", run_in_background=True )
Step 3: Collect Gifts
Compile all findings into structured report.
Step 4: Loop
If follow-up questions exist → Ask user → Continue? → Back to Step 2
Step 5: Final Report
Example Output
🐾 Infinite Gratitude! 📋 Topic: "pet AI recognition" 🐱 Dispatching 5 agents... ━━━━━━━━━━━━━━━━━━━━━━ 🎁 Wave 1 ━━━━━━━━━━━━━━━━━━━━━━ 🐱 GitHub: MegaDescriptor, wildlife-datasets... 🐱 HuggingFace: DINOv2, CLIP... 🐱 Papers: Petnow uses Siamese Network... 🐱 Competitors: Petnow 99%... 🐱 Tutorials: ArcFace > Triplet Loss... 💡 Key: Data volume is everything! 🔍 New questions: - How to implement ArcFace? - How to use MegaDescriptor? Continue? (y/n) 🐾 by washinmura.jp
Notes
- Uses
model to save costhaiku - Max 5 agents per wave
- Deep mode loops until satisfied
Additional Resources
- For agent configuration, see references/agent-config.md
Related Skills
- ai-dojo — Foundation for AI coding agents
- research-scout — Single-agent research
Part of 🥋 AI Dojo Series by Washin Village 🐾