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920b179440
- 更新所有69个命令文件的description字段，基于实际功能重新生成详细描述 - 重新生成5个索引文件（all-commands, by-category, by-use-case, essential-commands, command-relationships） - 移动analyze_commands.py到scripts/目录并完善功能 - 移除临时备份文件 命令描述改进示例： - workflow:plan: 增加了工具和代理的详细说明（Gemini, action-planning-agent） - cli:execute: 说明了YOLO权限和多种执行模式 - memory:update-related: 详细说明了批处理策略和工具回退链 索引文件改进： - usage_scenario从2种扩展到10种（更精细分类） - command-relationships覆盖所有69个命令 - 区分built-in（内置调用）和sequential（用户顺序执行）关系 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
112 lines
3.4 KiB
Markdown
112 lines
3.4 KiB
Markdown
---
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name: enhance-prompt
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description: Enhanced prompt transformation using session memory and codebase analysis with --enhance flag detection
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argument-hint: "user input to enhance"
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---
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## Overview
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Systematically enhances user prompts by combining session memory context with codebase patterns, translating ambiguous requests into actionable specifications.
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## Core Protocol
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**Enhancement Pipeline:**
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`Intent Translation` → `Context Integration` → `Gemini Analysis (if needed)` → `Structured Output`
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**Context Sources:**
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- Session memory (conversation history, previous analysis)
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- Codebase patterns (via Gemini when triggered)
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- Implicit technical requirements
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## Gemini Trigger Logic
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```pseudo
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FUNCTION should_use_gemini(user_prompt):
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critical_keywords = ["refactor", "migrate", "redesign", "auth", "payment", "security"]
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RETURN (
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prompt_affects_multiple_modules(user_prompt, threshold=3) OR
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any_keyword_in_prompt(critical_keywords, user_prompt)
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)
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END
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```
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**Gemini Integration:** ~/.claude/workflows/intelligent-tools-strategy.md
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## Enhancement Rules
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### Intent Translation
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| User Says | Translate To | Focus |
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|-----------|--------------|-------|
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| "fix" | Debug and resolve | Root cause → preserve behavior |
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| "improve" | Enhance/optimize | Performance/readability |
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| "add" | Implement feature | Integration + edge cases |
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| "refactor" | Restructure quality | Maintain behavior |
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| "update" | Modernize | Version compatibility |
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### Context Integration Strategy
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**Session Memory First:**
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- Reference recent conversation context
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- Reuse previously identified patterns
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- Build on established understanding
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**Codebase Analysis (via Gemini):**
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- Only when complexity requires it
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- Focus on integration points
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- Identify existing patterns
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**Example:**
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```bash
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# User: "add login"
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# Session Memory: Previous auth discussion, JWT mentioned
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# Inferred: JWT-based auth, integrate with existing session management
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# Gemini (if multi-module): Analyze AuthService patterns, middleware structure
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```
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## Output Structure
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```bash
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INTENT: [Clear technical goal]
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CONTEXT: [Session memory + codebase patterns]
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ACTION: [Specific implementation steps]
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ATTENTION: [Critical constraints]
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```
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### Output Examples
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**Simple (no Gemini):**
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```bash
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# Input: "fix login button"
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INTENT: Debug non-functional login button
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CONTEXT: From session - OAuth flow discussed, known state issue
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ACTION: Check event binding → verify state updates → test auth flow
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ATTENTION: Preserve existing OAuth integration
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```
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**Complex (with Gemini):**
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```bash
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# Input: "refactor payment code"
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INTENT: Restructure payment module for maintainability
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CONTEXT: Session memory - PCI compliance requirements
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Gemini - PaymentService → StripeAdapter pattern identified
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ACTION: Extract reusable validators → isolate payment gateway logic
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ATTENTION: Zero behavior change, maintain PCI compliance, full test coverage
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```
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## Automatic Triggers
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- Ambiguous language: "fix", "improve", "clean up"
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- Multi-module impact (>3 modules)
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- Architecture changes
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- Critical systems: auth, payment, security
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- Complex refactoring
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## Key Principles
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1. **Memory First**: Leverage session context before analysis
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2. **Minimal Gemini**: Only when complexity demands it
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3. **Context Reuse**: Build on previous understanding
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4. **Clear Output**: Structured, actionable specifications
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5. **Avoid Duplication**: Reference existing context, don't repeat |