improve-prompt
Prompt engineering architect that transforms raw prompts into optimized, production-ready prompts. PROACTIVELY activate for: (1) Improve/refine prompts, (2) Optimize prompts for specific models, (3) Create prompt chains/sequences, (4) Analyze prompt quality, (5) Transform prompts for different contexts. "make this prompt better", "prompt engineering", "fix my prompt"
npx skills add majiayu000/claude-skill-registry --skill improve-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.
# Improve Prompt Transform prompts into optimized, production-ready versions. ## Purpose Analyze and enhance prompts by: - Identifying weaknesses and ambiguities - Applying prompt engineering best practices - Optimizing for specific models (Claude, Gemini, GPT) - Structuring for consistent outputs - Adding appropriate constraints and examples ## When to Use **Ideal for:** - Prompts that get inconsistent results - Prompts that need to work across models - Complex prompts requiring structure - Prompts for production use **Avoid when:** - Simple, one-off questions - Conversational queries ## Workflow ### Step 1: Analyze Current Prompt Evaluate the prompt for: - **Clarity:** Is the task unambiguous? - **Completeness:** Is all necessary context provided? - **Structure:** Is it well-organized? - **Constraints:** Are boundaries defined? - **Examples:** Are examples provided if needed? - **Output format:** Is expected output specified? ### Step 2: Identify Improvements Common issues to address: - Vague instructions → Make specific - Missing context → Add relevant background - No output format → Specify structure - No examples → Add few-shot examples - No constraints → Add guardrails - Too
- Purpose
- When to Use
- Workflow
- Step 1: Analyze Current Prompt
- Step 2: Identify Improvements
- Step 3: Apply Best Practices
- Step 4: Generate Improved Prompt
- Output Format
- Quality Gates
- Examples
What does the improve-prompt skill do?
Prompt engineering architect that transforms raw prompts into optimized, production-ready prompts. PROACTIVELY activate for: (1) Improve/refine prompts, (2) Optimize prompts for specific models, (3) Create prompt chains/sequences, (4) Analyze prompt quality, (5) Transform prompts for different contexts. "make this prompt better", "prompt engineering", "fix my prompt"
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill improve-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.