chain-of-thought-prompts
Chain-of-thought and step-by-step reasoning prompts for complex problem solving
npx skills add a5c-ai/babysitter --skill chain-of-thought-prompts --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- Capabilities
- Target Processes
- Implementation Details
- CoT Patterns
- Configuration Options
- Best Practices
- Dependencies
What does the chain-of-thought-prompts skill do?
Chain-of-thought and step-by-step reasoning prompts for complex problem solving
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill chain-of-thought-prompts --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.