Infinite Gratitude 🐾

Description

--- name: infinite-gratitude description: 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. argument-hint: "<topic>" [--depth quick|normal|deep] [--agents 1-10] --- # 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) 🐾*

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