agentsclimarketplace

Infinite gratitude

Skill sstklen/infinite-gratitude

๐Ÿฅ‹ Multi-agent research skill for Claude Code | 10 ๅ€‹ AI Agent ๅ”ไฝœ็ ”็ฉถ | 10 AIใ‚จใƒผใ‚ธใ‚งใƒณใƒˆๅ”่ชฟใƒชใ‚ตใƒผใƒ โ€” AI Dojo series

Install
npx -y skills add sstklen/infinite-gratitude

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Multi-agent research that keeps bringing gifts back โ€” like cats! Dispatch multiple agents to research a topic in parallel, compile findings, and iterate on new discoveries.

SKILL.md

2.3 KB, as published. Nobody here has run it

Infinite Gratitude ๐Ÿพ

็„ก้™่ฒ“ๅ ฑๆฉ | ็„ก้™ใฎๆฉ่ฟ”ใ— Multi-agent research that keeps bringing gifts back โ€” like cats! ๐Ÿฑ

Quick Reference

OptionValuesDefault
topicRequired-
--depthquick / normal / deepnormal
--agents1-105

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 โ†’ Ask user โ†’ Continue? โ†’ Back to Step 2

Step 5: Final Report

Example Output

๐Ÿพ Infinite Gratitude!

๐Ÿ“‹ Topic: "pet AI recognition"
๐Ÿฑ Dispatching 5 agents...

โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”
๐ŸŽ Wave 1
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”

๐Ÿฑ GitHub: MegaDescriptor, wildlife-datasets...
๐Ÿฑ HuggingFace: DINOv2, CLIP...
๐Ÿฑ Papers: Petnow uses Siamese Network...
๐Ÿฑ Competitors: Petnow 99%...
๐Ÿฑ Tutorials: ArcFace > Triplet Loss...

๐Ÿ’ก Key: Data volume is everything!

๐Ÿ” New questions:
   - How to implement ArcFace?
   - How to use MegaDescriptor?

Continue? (y/n)

๐Ÿพ 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 โ€” Foundation for AI coding agents
  • research-scout โ€” Single-agent research

Part of ๐Ÿฅ‹ AI Dojo Series by Washin Village ๐Ÿพ

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.