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.
Resources
7Install
npx skillscat add vampticsoda/infinite-gratitude Install via the SkillsCat registry.
We need to produce a 2-3 sentence plain-text summary, objective, factual, no marketing language, no superlatives, no calls to action. Must be natural prose, no bullet points, no headings, no markdown. At most 60 words. Must not wrap in quotes. So just plain text. We need to explain what the skill does, what problem it solves, when to use it.
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 |
|---|---|---|
topic |
Required | - |
--depth |
quick / normal / deep | normal |
--agents |
1-10 | 5 |
Usage
/infinite-gratitude "pet AI recognition"
/infinite-gratitude "RAG best practices" --depth deep
/infinite-gratitude "React state management" --agents 3Behavior
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.jpNotes
- Uses
haikumodel to save cost - 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 🐾