# 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.

- **Type:** Skill
- **Install:** `agentstack add skill-sstklen-infinite-gratitude-infinite-gratitude`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [sstklen](https://agentstack.voostack.com/s/sstklen)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [sstklen](https://github.com/sstklen)
- **Source:** https://github.com/sstklen/infinite-gratitude
- **Website:** https://washinmura.jp

## Install

```sh
agentstack add skill-sstklen-infinite-gratitude-infinite-gratitude
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 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

```bash
/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

- For agent configuration, see [references/agent-config.md](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](https://washinmura.jp) 🐾*

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [sstklen](https://github.com/sstklen)
- **Source:** [sstklen/infinite-gratitude](https://github.com/sstklen/infinite-gratitude)
- **License:** MIT
- **Homepage:** https://washinmura.jp

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-sstklen-infinite-gratitude-infinite-gratitude
- Seller: https://agentstack.voostack.com/s/sstklen
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.