Vampticsoda

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.

Vampticsoda 2 Updated 7mo ago

Resources

7
GitHub

Install

npx skillscat add vampticsoda/infinite-gratitude

Install via the SkillsCat registry.

About this skill

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.

SKILL.md

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 3

Behavior

Step 1: Split Directions

Split {topic} into 5 parallel research directions:

  1. GitHub projects
  2. HuggingFace models
  3. Papers / articles
  4. Competitors
  5. 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 haiku model to save cost
  • Max 5 agents per wave
  • Deep mode loops until satisfied

Additional Resources

Related Skills

  • ai-dojo — Foundation for AI coding agents
  • research-scout — Single-agent research

Part of 🥋 AI Dojo Series by Washin Village 🐾