refine-prompt
This skill should be used when the user asks to "refine a prompt", "optimize a prompt", "improve my prompt", "rewrite prompt for LLM", "craft a better prompt", or mentions prompt engineering, prompt optimization, or appending to PROMPT.md.
npx skills add majiayu000/claude-skill-registry --skill refine-prompt --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.
## Context - Working directory: !`pwd` - Request: $ARGUMENTS ## Task You are an expert prompt engineer. Create an optimized prompt based on `$ARGUMENTS`. ### 1. Craft the Prompt Apply relevant techniques: - Few-shot examples (when helpful) - Chain-of-thought reasoning - Role/perspective setting - Output format specification - Constraints and boundaries - Self-consistency checks Structure with: - Clear role definition (if applicable) - Explicit task description - Expected output format - Constraints and guidelines ### 2. Display the Result Show the complete prompt in a code block, ready to copy: ``` [Complete prompt text] ``` Briefly note which techniques you applied and why. ### 3. Save to .ai/PROMPT.md First ensure the directory exists: `mkdir -p .ai` **If `.ai/PROMPT.md` exists:** Read current contents and append: ``` --- ## [Brief title from $ARGUMENTS] [The optimized prompt] ``` **If `.ai/PROMPT.md` does not exist:** Create with: ``` # Optimized Prompts ## [Brief title from $ARGUMENTS] [The optimized prompt] ``` Confirm: "Saved to .ai/PROMPT.md"
- Context
- Task
- 1. Craft the Prompt
- 2. Display the Result
- 3. Save to .ai/PROMPT.md
What does the refine-prompt skill do?
This skill should be used when the user asks to "refine a prompt", "optimize a prompt", "improve my prompt", "rewrite prompt for LLM", "craft a better prompt", or mentions prompt engineering, prompt optimization, or appending to PROMPT.md.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill refine-prompt --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 majiayu000/claude-skill-registry, a repository with 534 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.