Agent Skills: Chain-of-Thought Prompts Skill

Chain-of-thought and step-by-step reasoning prompts for complex problem solving

UncategorizedID: a5c-ai/babysitter/chain-of-thought-prompts

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pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/library/specializations/ai-agents-conversational/skills/chain-of-thought-prompts

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library/specializations/ai-agents-conversational/skills/chain-of-thought-prompts/SKILL.md

Skill Metadata

Name
chain-of-thought-prompts
Description
Chain-of-thought and step-by-step reasoning prompts for complex problem solving

Chain-of-Thought Prompts Skill

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

  1. Zero-Shot CoT: "Let's think step by step"
  2. Few-Shot CoT: Examples with reasoning
  3. Self-Consistency: Multiple reasoning paths
  4. Tree-of-Thought: Branching reasoning
  5. 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