Chain-of-Thought Prompts Skill
SkillAI & modelsChain-of-thought and step-by-step reasoning prompts for complex problem solving
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Chain-of-Thought Prompts Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/ai-agents-conversational/skills/chain-of-thought-prompts/SKILL.md and read by ahel’s review.
Capabilities
- Design chain-of-thought prompting patterns
- Implement step-by-step reasoning templates
- Create self-consistency prompting
- Design tree-of-thought patterns
- Implement reasoning verification
- Create structured reasoning outputs
Target Processes
- prompt-engineering-workflow
- self-reflection-agent
Implementation Details
CoT Patterns
- Zero-Shot CoT: "Let's think step by step"
- Few-Shot CoT: Examples with reasoning
- Self-Consistency: Multiple reasoning paths
- Tree-of-Thought: Branching reasoning
- ReAct: Reasoning + Action interleaved
Configuration Options
- Reasoning trigger phrases
- Step format structure
- Verification prompts
- Reasoning chain length
- Consistency voting threshold
Best Practices
- Clear reasoning step markers
- Explicit final answer extraction
- Verify reasoning validity
- Handle reasoning errors
- Monitor reasoning quality
Dependencies
- langchain-core
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
chain-of-thought-prompts- Source
- github.com/a5c-ai/babysitter