Prompt Enhancer
Transform vague prompts into actionable specs using intelligent analysis and session memory. Use when user input contains -e or --enhance flag.
npx skills add majiayu000/claude-skill-registry --skill prompt-enhancer-catlog22-claude-code-workflow --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.
# Prompt Enhancer **Transform**: Vague intent → Structured specification (Memory-based, Direct Output) **Languages**: English + Chinese (中英文语义识别) ## Process (Internal → Direct Output) **Internal Analysis**: Intelligently extract session context, identify tech stack, and structure into actionable format. **Output**: Direct structured prompt (no intermediate steps shown) ## Output Format **Dynamic Structure**: Adapt fields based on task type and context needs. Not all fields are required. **Core Fields** (always present): - **INTENT**: One-sentence technical goal - **ACTION**: Concrete steps with technical details **Optional Fields** (include when relevant): - **TECH STACK**: Relevant technologies (when tech-specific) - **CONTEXT**: Session memory findings (when context matters) - **ATTENTION**: Critical constraints (when risks/requirements exist) - **SCOPE**: Affected modules/files (for multi-module tasks) - **METRICS**: Success criteria (for optimization/performance tasks) - **DEPENDENCIES**: Related components (for integration tasks) **Example (Simple Task)**: ``` 📋 ENHANCED PROMPT INTENT: Fix authentication token validation in JWT middleware ACTION: 1. Review token expiration lo
- Process (Internal → Direct Output)
- Output Format
- Workflow
- Enhancement Guidelines (Internal)
- Best Practices
What does the Prompt Enhancer skill do?
Transform vague prompts into actionable specs using intelligent analysis and session memory. Use when user input contains -e or --enhance flag.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill prompt-enhancer-catlog22-claude-code-workflow --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.