prompt-refiner-claude

📁 factory-ai/factory 📅 5 days ago
1
总安装量
1
周安装量
#44848
全站排名
安装命令
npx skills add https://github.com/factory-ai/factory --skill prompt-refiner-claude

Agent 安装分布

junie 1
amp 1
opencode 1
kimi-cli 1
droid 1
codex 1

Skill 文档

Claude Prompt Refiner

Refine prompts to get better results from Claude models by applying Anthropic’s recommended patterns.

When to Use

Invoke this skill when you have a task for Claude that:

  • Involves multiple steps or files
  • Requires specific output formatting
  • Needs careful reasoning or analysis
  • Would benefit from structured context

Refinement Process

Step 1: Analyze the Draft Prompt

Review the user’s prompt for:

  • Clear outcome definition
  • Sufficient context
  • Explicit constraints
  • Success criteria

Ask clarifying questions if any of these are missing.

Step 2: Apply Claude-Specific Patterns

Structure with XML tags: Claude responds exceptionally well to XML-style tags for organizing complex prompts:

  • <context> – Background information, codebase state, environment
  • <task> – The specific action to take
  • <requirements> – Must-have criteria
  • <constraints> – Limitations and boundaries
  • <examples> – Sample inputs/outputs if helpful
  • <output_format> – How to structure the response

Ordering matters:

  1. Context first (what exists)
  2. Task second (what to do)
  3. Requirements third (how to do it)
  4. Examples last (clarifying edge cases)

Step 3: Enhance for Reasoning

For complex tasks, add thinking prompts:

  • “Think through the approach before implementing”
  • “Consider these edge cases: …”
  • “Explain your reasoning for key decisions”

Step 4: Output the Refined Prompt

Present the improved prompt with:

  • Clear section headers
  • XML tags where beneficial
  • Specific, measurable criteria
  • An explanation of what changed and why

Example Transformations

Example 1: Vague Task

Before:

Add caching to the API

After:

<context>
The /api/products endpoint currently queries the database on every request.
Average response time is 200ms. We use Redis for other caching in the app.
</context>

<task>
Add Redis caching to the /api/products endpoint to reduce database load.
</task>

<requirements>
- Cache TTL of 5 minutes
- Cache invalidation when products are updated
- Graceful fallback to database if Redis is unavailable
- Add cache hit/miss metrics logging
</requirements>

<constraints>
- Don't change the response format
- Must pass existing integration tests
- Use our existing Redis connection from src/lib/redis.ts
</constraints>

Example 2: Code Review Request

Before:

Review this PR

After:

<context>
This PR adds user authentication to our Next.js application.
Our stack: Next.js 14, TypeScript, Prisma, PostgreSQL.
Security is critical - this handles user sessions and passwords.
</context>

<task>
Review the changes in this PR for security issues, code quality, and adherence to our patterns.
</task>

<requirements>
Focus on:
1. Security vulnerabilities (auth bypass, injection, etc.)
2. Error handling and edge cases
3. TypeScript type safety
4. Test coverage for critical paths
</requirements>

<output_format>
Organize your review as:
## Critical Issues (must fix before merge)
## Recommendations (should consider)
## Minor Suggestions (nice to have)
## What Looks Good (positive feedback)
</output_format>

Example 3: Feature Implementation

Before:

Add dark mode

After:

<context>
React application using Tailwind CSS for styling.
Currently only has light mode. Design tokens are in tailwind.config.js.
User preference should persist across sessions.
</context>

<task>
Implement dark mode toggle with system preference detection and persistence.
</task>

<requirements>
- Toggle component in the header
- Detect system preference on first visit
- Persist user choice in localStorage
- Smooth transition between modes
- Update all existing components to support both modes
</requirements>

<constraints>
- Use Tailwind's built-in dark mode support
- Don't add new dependencies
- Ensure WCAG AA contrast ratios in both modes
</constraints>

<examples>
Current light mode colors:
- Background: bg-white
- Text: text-gray-900
- Primary: text-blue-600

Expected dark mode equivalents:
- Background: dark:bg-gray-900
- Text: dark:text-gray-100
- Primary: dark:text-blue-400
</examples>

Tips for Best Results

  1. Be specific about scope – “the auth module” → “src/auth/session.ts”
  2. Include file paths when relevant
  3. Reference existing patterns – “follow the pattern in UserService.ts”
  4. State what NOT to do – constraints prevent unwanted changes
  5. Define done – what does success look like?