Chain-of-Thought Prompts Skill
SkillAI & modelsChain-of-thought and step-by-step reasoning prompts for complex problem solving
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Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
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
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
chain-of-thought-prompts- Source
- github.com/a5c-ai/babysitter