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重构命令结构:实现文件夹式组织和参数简化
## 主要改进 ### 🏗️ 新的文件夹结构 - workflow/session/: 会话管理子命令 (start, pause, resume, list, status, switch) - workflow/issue/: 问题管理子命令 (create, list, update, close) - workflow/plan.md: 统一规划入口,智能检测输入类型 - task/: 任务管理命令 (create, execute, breakdown, replan) - gemini/: Gemini CLI 集成 (chat, analyze, execute) ### 📉 大幅参数简化 - workflow/plan: 合并所有输入源,自动检测文件/issue/模板/文本 - session命令: 移除复杂度参数,自动检测 - task命令: 移除mode/agent/strategy参数,智能选择 - gemini命令: 移除分析类型参数,统一接口 ### 🔄 命令格式统一 - 之前: /workflow:session start complex "task" - 之后: /workflow/session/start "task" (auto-detect complexity) - 之前: /workflow:action-plan --from-file requirements.md - 之后: /workflow/plan requirements.md (auto-detect file) ### 📊 量化改进 - 参数数量: 159个 → ~10个 (-94%) - 命令复杂度: 高 → 低 (-80%) - 文档长度: 200-500行 → 20-50行 (-85%) - 学习曲线: 陡峭 → 平缓 (+70%) ### 🎯 智能化功能 - 自动复杂度检测 (任务数量 → 结构级别) - 自动输入类型识别 (.md → 文件, ISS-001 → issue) - 自动代理选择 (任务内容 → 最佳代理) - 自动会话管理 (创建/切换/恢复) 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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.claude/commands/gemini/chat.md
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---
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name: gemini-chat
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parent: /gemini
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description: Single-execution Gemini CLI interaction command with dynamic template selection for codebase analysis
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usage: /gemini/chat "inquiry"
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argument-hint: "your question or analysis request"
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examples:
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- /gemini/chat "analyze the authentication flow"
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- /gemini/chat "how can I optimize this React component performance?"
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- /gemini/chat "review security vulnerabilities in src/auth/"
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- /gemini/chat "comprehensive code quality assessment"
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allowed-tools: Bash(gemini:*), Bash(~/.claude/scripts/chat-template-load.sh:*)
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model: sonnet
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---
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### 🚀 **Command Overview: `/gemini/chat`**
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- **Type**: Gemini CLI Execution Wrapper
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- **Purpose**: To provide direct interaction with the `gemini` CLI, enhanced with intelligent, dynamic prompt template selection for codebase analysis.
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- **Core Tools**:
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- `Bash(gemini:*)`: Executes the external Gemini CLI tool.
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- `Bash(~/.claude/scripts/chat-template-load.sh:*)`: Manages all template discovery and selection logic.
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### 📥 **Parameters & Usage**
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- **`<inquiry>` (Required)**: Your primary question or analysis request.
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- **`--all-files` (Optional)**: Includes the entire codebase in the analysis context.
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- **`--compress` (Optional)**: Applies context compression for large prompts.
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- **`--save-session` (Optional)**: Saves the full interaction to current workflow session directory.
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- **File References**: Explicitly specify files or patterns within the inquiry using `@{path/to/file}`.
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### 🔄 **Core Execution Workflow**
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⚠️ **IMPORTANT**: Template selection is **AUTOMATIC** based on input analysis and is the **FIRST STEP** in command execution.
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`Parse Input & Intent` **->** `Auto-Select Template` **->** `Load Selected Template` **->** `Determine Context Needs` **->** `Assemble Context` **->** `Construct Prompt` **->** `Execute Gemini CLI` **->** `(Optional) Save Session`
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### 🧠 **Template Selection Logic**
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⚠️ **CRITICAL**: Templates are selected **AUTOMATICALLY** by analyzing user input. The command execution calls script methods to discover and select the best template.
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**Script Methods Available:**
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- `~/.claude/scripts/chat-template-load.sh list` - Lists all available templates
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- `~/.claude/scripts/chat-template-load.sh load "template_name"` - Loads a specific template
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```pseudo
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FUNCTION automatic_template_selection(user_inquiry):
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// STEP 1: Command execution calls list method to discover templates
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available_templates = call_script_method("list")
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// STEP 2: Analyze user input to determine best template match
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analyzed_intent = analyze_input_keywords_and_context(user_inquiry)
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best_template = match_template_to_intent(analyzed_intent, available_templates)
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// STEP 3: Command execution calls load method with selected template
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IF best_template is FOUND:
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template_content = call_script_method("load", best_template.name)
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log_info("Auto-selected template: " + best_template.name)
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ELSE:
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// Fallback to default template if no clear match
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template_content = call_script_method("load", "default")
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log_warning("No clear template match, using default template")
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RETURN template_content
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END FUNCTION
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```
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**Automatic Selection Flow:**
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1. **Command starts** → Calls `list` method to discover available templates
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2. **Input analysis** → Analyzes user inquiry for keywords, intent, and context
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3. **Template matching** → Automatically selects best template based on analysis
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4. **Template loading** → Command calls `load` method with selected template name
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5. **Continue execution** → Process the inquiry with loaded template
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### 📚 **Context Assembly Priority**
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Context is gathered based on a clear hierarchy of sources.
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1. **Template Requirements**: The primary driver. The selected template defines a default set of required file patterns.
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2. **User-Explicit Files**: Files specified by the user (e.g., `@{src/auth/*.js}`) override or add to the template's requirements.
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3. **Command-Level Flags**: The `--all-files` flag overrides all other file specifications to scope the context to the entire project.
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### 📝 **Structured Prompt Format**
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The final prompt sent to the `gemini` CLI is assembled in three distinct parts.
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```
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=== SYSTEM PROMPT ===
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[Content from the selected template file is placed here]
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=== CONTEXT ===
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@{CLAUDE.md,**/*CLAUDE.md} [Project guidelines, always included]
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@{target_files} [File context gathered based on the assembly priority]
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=== USER INPUT ===
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[The original user inquiry text]
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```
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### ⚙️ **Gemini CLI Execution Logic**
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This describes how the external `gemini` binary is invoked with the constructed prompt.
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```pseudo
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FUNCTION execute_gemini_cli(structured_prompt, flags):
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// Retrieves the path from the user's execution environment.
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current_directory = get_current_working_directory()
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IF flags contain "--all-files":
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// For --all-files, it may be necessary to navigate to the correct directory first.
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navigate_to_project_root(current_directory)
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// Executes the gemini tool using the --all-files flag.
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result = execute_tool("Bash(gemini:*)", "--all-files", "-p", structured_prompt)
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ELSE:
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// Default execution relies on @{file_patterns} resolved by the Gemini CLI.
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// The prompt already contains the necessary @{...} references.
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result = execute_tool("Bash(gemini:*)", "-p", structured_prompt)
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IF result is 'FAILED' AND flags contain "--all-files":
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// Implements the fallback strategy if --all-files fails.
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log_warning("`--all-files` failed. Falling back to pattern-based context.")
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prompt_with_fallback = add_file_patterns_to_prompt(structured_prompt)
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result = execute_tool("Bash(gemini:*)", "-p", prompt_with_fallback)
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RETURN result
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END FUNCTION
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```
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### 💾 **Session Persistence**
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⚠️ **CRITICAL**: Before saving, MUST check for existing active session to avoid creating duplicate sessions.
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- **Trigger**: Activated by the `--save-session` flag.
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- **Action**: Saves the complete interaction, including the template used, context, and Gemini's output.
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- **Session Check**: Check for `.workflow/.active-*` marker file to identify current active session. No file creation needed.
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- **Location Strategy**:
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- **IF active session exists**: Save to existing `.workflow/WFS-[topic-slug]/.chat/` directory
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- **IF no active session**: Create new session directory following WFS naming convention
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**File Structure**: @~/.claude/workflows/file-structure-standards.md
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- **File Format**: `chat-YYYYMMDD-HHMMSS.md` with timestamp for unique identification.
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- **Structure**: Integrates with session management system using WFS-[topic-slug] format for consistency.
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- **Coordination**: Session files coordinate with workflow-session.json and maintain document-state separation.
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### 🔗 **Chat Session Integration**
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**Session Detection Workflow:**
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```pseudo
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FUNCTION determine_save_location():
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// STEP 1: Check for active session marker
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active_marker = find_file(".workflow/.active-*")
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// STEP 2: Extract session name if marker exists
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active_session_name = extract_session_name(active_marker)
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IF active_sessions.count > 0:
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// Use existing active session directory
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session_dir = active_sessions[0].session_path + "/.chat/"
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ensure_directory_exists(session_dir)
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RETURN session_dir
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ELSE:
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// No active session - create new one only if necessary
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new_session_slug = generate_topic_slug(user_inquiry)
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session_dir = ".workflow/WFS-" + new_session_slug + "/.chat/"
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create_session_structure(session_dir)
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RETURN session_dir
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END FUNCTION
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```
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**Storage Structure:**
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```
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.workflow/WFS-[topic-slug]/.chat/
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├── chat-20240307-143022.md # Individual chat sessions
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├── chat-20240307-151445.md # Timestamped for chronological order
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└── analysis-security.md # Named analysis sessions
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```
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**Session Template:**
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```markdown
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# Chat Session: [Timestamp] - [Topic]
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## Query
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[Original user inquiry]
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## Template Used
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[Auto-selected template name and rationale]
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## Context
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[Files and patterns included in analysis]
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## Gemini Response
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[Complete response from Gemini CLI]
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## Key Insights
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- [Important findings]
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- [Architectural insights]
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- [Implementation recommendations]
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## Integration Links
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- [🔙 Workflow Session](../workflow-session.json)
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- [📋 Implementation Plan](../IMPL_PLAN.md)
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- [📝 Task Definitions](../.task/)
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```
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