Self Discover Skill — AI skill for Claude Code
SELF-DISCOVER: AI agents self-compose reasoning structures.
How to install Self Discover Skill
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open Thomaszhou22/self-discover-skill and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Self Discover Skill does
SELF-DISCOVER: AI agents self-compose reasoning structures. Based on Zhou et al. (2024), NeurIPS.
Alternatives in AI
- Multica — Make humans and AI agents work as one team — open-source and self-hostable 47.8k ★
- Hindsight — State-of-the-art long-term memory for AI agents by Vectorize 6.7k ★
- Deepreasoning — A high-performance LLM inference API and Chat UI that integrates DeepSeek R1's CoT reasoning traces with Anthr 5.4k ★
README
🔍 Self-Discover Skill
**Self-composing reasoning structures for AI agents.**
*Let AI discover the optimal reasoning strategy — before solving the problem.*
[](LICENSE) [](https://openclaw.ai) [](https://claude.ai) [](https://cursor.sh) [](https://github.com/features/copilot) [](https://github.com/openai/codex) [](https://ai.google.dev) [](https://codeium.com/windsurf) [](https://www.jetbrains.com/ai/) [](BENCHMARK.md)
What It Does
Most AI reasoning uses a single strategy (usually "think step by step"). This skill lets the AI **discover the optimal reasoning structure** for each specific task:
SELECT → ADAPT → IMPLEMENT → SOLVE
Based on peer-reviewed research showing **up to 32% improvement** over Chain-of-Thought and **>20% over Self-Consistency** with 10-40x less compute (Zhou et al., 2024, ICML).
**One file. Zero dependencies. Zero API cost.** The host AI composes its own reasoning structures.
Proven Results
Benchmarked on **20 questions across 5 categories** with controlled before/after evaluation. → [Full report](BENCHMARK.md)
| Metric | Result |
|---|---|
| Overall improvement | +25.3% |
| Questions improved | 20/20 (100%) |
| Best single improvement | +48.2% |
**Per-dimension
Related Skills
AVS Vibe Developer Guide
by Layr-Labs - Structures AI-assisted EigenLayer AVS development workflow with consistent naming conventions f
LLM Git
AI commit message generator. Conventional commits, compose mode, and history rewrite via Claude/GPT APIs.
Rebound Skill
Rebound recomposition budget monitor — AI agent skill for Compose performance analysis. Works with Claude Code
Discover
Discovery phase - Multi-AI research and exploration
Flow Discover
Multi-AI research using Codex and Gemini CLIs (Double Diamond Discover phase)
Wiki Discover
Discover unexpected connections in the LLM Wiki (Memex serendipity).
Related Agents
Executor Opus Xhigh
Ticket executor for tickets where judgment is the work — money, capacity, stored enums, migrations with a corr
Cmp Orchestrator
Coordinator for multi-step Kotlin/Compose Multiplatform harness work — plans, writes self-contained briefs, de
Builder Deep
Implements one hard bounded coding task from a self-contained brief, with high reasoning effort. Dispatched by