command-guide
Workflow command guide for Claude DMS3 (78 commands). Search/browse commands, get next-step recommendations, view documentation, report issues. Triggers "CCW-help", "CCW-issue", "ccw-help", "ccw-issue", "ccw"
Install
mkdir -p .claude/skills/command-guide && curl -L -o skill.zip "https://mcp.directory/api/skills/download/188" && unzip -o skill.zip -d .claude/skills/command-guide && rm skill.zipInstalls to .claude/skills/command-guide
About this skill
Command Guide Skill
Comprehensive command guide for Claude Code Workflow (CCW) system covering 78 commands across 5 categories (workflow, cli, memory, task, general).
🆕 What's New in v5.8.0
Major Features
🎨 UI Design Style Memory Workflow (Primary Focus)
/memory:style-skill-memory- Generate reusable SKILL packages from design systems/workflow:ui-design:codify-style- Extract design tokens from code with automatic file discovery/workflow:ui-design:reference-page-generator- Generate multi-component reference pages- Workflow: Design extraction → Token documentation → SKILL package → Easy loading
⚡ /workflow:lite-plan - Intelligent Planning & Execution (Testing Phase)
- Dynamic workflow adaptation (smart exploration, adaptive planning, progressive clarification)
- Two-dimensional confirmation (task approval + execution method selection)
- Direct execution with live TodoWrite progress tracking
- Faster than
/workflow:plan(1-3 min vs 5-10 min) for simple to medium tasks
🗺️ /memory:code-map-memory - Code Flow Mapping Generator (Testing Phase)
- Uses cli-explore-agent for deep code flow analysis with dual-source strategy
- Generates Mermaid diagrams for architecture, functions, data flow, conditional paths
- Creates feature-specific SKILL packages for code understanding
- Progressive loading (2K → 30K tokens) for efficient context management
Agent
- cli-explore-agent - Specialized code exploration with Deep Scan mode (Bash + Gemini)
- cli-planning-agent - Enhanced task generation with improved context handling
- ui-design-agent - Major refactoring for better design system extraction
Additional Improvements
- Enhanced brainstorming workflows with parallel execution
- Improved test workflow documentation and task attachment models
- Updated CLI tool default models (Gemini 2.5-pro)
🧠 Core Principle: Intelligent Integration
⚠️ IMPORTANT: This SKILL provides reference materials for intelligent integration, NOT templates for direct copying.
Response Strategy:
- Analyze user's specific context - Understand their exact need, workflow stage, and technical level
- Extract relevant information - Select only the pertinent parts from reference guides
- Synthesize and customize - Combine multiple sources, add context-specific examples
- Deliver targeted response - Provide concise, actionable guidance tailored to the user's situation
Never:
- ❌ Copy-paste entire template sections verbatim
- ❌ Return raw reference documentation without processing
- ❌ Provide generic responses that ignore user context
Always:
- ✅ Understand the user's specific situation first
- ✅ Integrate information from multiple sources (indexes, guides, reference docs)
- ✅ Customize examples and explanations to match user's use case
- ✅ Provide progressive depth - brief answers with "more detail available" prompts
🎯 Operation Modes
Mode 1: Command Search 🔍
When: User searches by keyword, category, or use-case
Triggers: "搜索命令", "find command", "planning 相关", "search"
Process:
- Identify search type (keyword/category/use-case)
- Query appropriate index (all-commands/by-category/by-use-case)
- Intelligently filter and rank results based on user's implied context
- Synthesize concise response with command names, brief descriptions, and use-case fit
- Suggest next steps - related commands or workflow patterns
Example: "搜索 planning 命令" → Analyze user's likely goal → Present top 3-5 most relevant planning commands with context-specific usage hints, NOT raw JSON dump
Mode 2: Smart Recommendations 🤖
When: User asks for next steps after a command
Triggers: "下一步", "what's next", "after /workflow:plan", "推荐"
Process:
- Analyze workflow context - Understand where user is in their development cycle
- Query
index/command-relationships.jsonfor possible next commands - Evaluate and prioritize recommendations based on:
- User's stated goals
- Common workflow patterns
- Project complexity indicators
- Craft contextual guidance - Explain WHY each recommendation fits, not just WHAT to run
- Provide workflow examples - Show complete flow, not isolated commands
Example: "执行完 /workflow:plan 后做什么?" → Analyze plan output quality → Recommend /workflow:action-plan-verify (if complex) OR /workflow:execute (if straightforward) with reasoning for each choice
Mode 3: Full Documentation 📖
When: User requests command details
Triggers: "参数说明", "怎么用", "how to use", "详情"
Process:
- Locate command in
index/all-commands.json - Read original command file for full details
- Extract user-relevant sections - Focus on what they asked about (parameters OR examples OR workflow)
- Enhance with context - Add use-case specific examples if user's scenario is clear
- Progressive disclosure - Provide core info first, offer "need more details?" prompts
Example: "/workflow:plan 的参数是什么?" → Identify user's experience level → Present parameters with context-appropriate explanations (beginner: verbose + examples; advanced: concise + edge cases), NOT raw documentation dump
Mode 4: Beginner Onboarding 🎓
When: New user needs guidance
Triggers: "新手", "getting started", "如何开始", "常用命令", "从0到1", "全新项目"
Process:
- Assess user background - Ask clarifying questions if needed (coding experience? project type?)
- ⚠️ Identify project stage - FROM-ZERO-TO-ONE vs FEATURE-ADDITION:
- 从0到1场景 (全新项目/产品/架构决策) → MUST START with brainstorming workflow
- 功能新增场景 (已有项目中添加功能) → Start with planning workflow
- Design personalized learning path based on their goals and stage
- Curate essential commands from
index/essential-commands.json- Select 3-5 most relevant for their use case - Provide guided first example - Walk through ONE complete workflow with explanation, emphasizing brainstorming for 0-to-1 scenarios
- Set clear next steps - What to try next, where to get help
Example 1 (从0到1): "我是新手,如何开始全新项目?" → Identify as FROM-ZERO-TO-ONE → Emphasize brainstorming workflow (/workflow:brainstorm:artifacts) as mandatory first step → Explain brainstorm → plan → execute flow
Example 2 (功能新增): "我是新手,如何在已有项目中添加功能?" → Identify as FEATURE-ADDITION → Guide to planning workflow (/workflow:plan) → Explain plan → execute → test flow
Example 3 (探索): "我是新手,如何开始?" → Ask clarifying question: "是全新项目启动(从0到1)还是在已有项目中添加功能?" → Based on answer, route to appropriate workflow
Mode 5: Issue Reporting 📝
When: User wants to report issue or request feature
Triggers: "CCW-issue", "CCW-help", "ccw-issue", "ccw-help", "ccw", "报告 bug", "功能建议", "问题咨询", "交互式诊断"
Process:
- Understand issue context - Use AskUserQuestion to confirm type AND gather initial context
- Intelligently guide information collection:
- Adapt questions based on previous answers
- Skip irrelevant sections
- Probe for missing critical details
- Select and customize template:
issue-diagnosis.md,issue-bug.md,issue-feature.md, orissue-question.md- Adapt template sections to match user's specific scenario
- Synthesize coherent issue report:
- Integrate collected information with appropriate template sections
- Highlight key details - Don't bury critical info in boilerplate
- Add privacy-protected command history
- Provide actionable next steps - Immediate troubleshooting OR submission guidance
Example: "CCW-issue" → Detect user frustration level → For urgent: fast-track to critical info collection; For exploratory: comprehensive diagnostic flow, NOT one-size-fits-all questionnaire
🆕 Enhanced Features:
- Complete command history with privacy protection
- Interactive diagnostic checklists
- Decision tree navigation (diagnosis template)
- Execution environment capture
Mode 6: Deep Command Analysis 🔬
When: User asks detailed questions about specific commands or agents
Triggers: "详细说明", "命令原理", "agent 如何工作", "实现细节", specific command/agent name mentioned
Data Sources:
reference/agents/*.md- All agent documentation (11 agents)reference/commands/**/*.md- All command documentation (69 commands)
Process:
Simple Query (direct documentation lookup):
- Identify target command/agent from user query
- Locate corresponding markdown file in
reference/ - Extract contextually relevant sections - Not entire document
- Synthesize focused explanation:
- Address user's specific question
- Add context-appropriate examples
- Link related concepts
- Offer progressive depth - "Want to know more about X?"
Complex Query (CLI-assisted analysis):
- Detect complexity indicators (多个命令对比、工作流程分析、最佳实践)
- Design targeted analysis prompt for gemini/qwen:
- Frame user's question precisely
- Specify required analysis depth
- Request structured comparison/synthesis
Note: Use absolute pathgemini -p " PURPOSE: Analyze command documentation to answer user query TASK: [extracted user question with context] MODE: analysis CONTEXT: @**/* EXPECTED: Comprehensive answer with examples and recommendations RULES: $(cat ~/.claude/workflows/cli-templates/prompts/analysis/02-analyze-code-patterns.txt) | Focus on practical usage | analysis=READ-ONLY " -m gemini-3-pro-preview-11-2025 --include-directories ~/.claude/skills/command-guide/reference~/.claude/skills/command-guide/referencefor reference documentation access - Process and integrate CLI analysis:
- Extract key insights from CLI output
- Add context-specific examples
- Synthesize actionable recommendations
- Deliver tailored response - Not raw CLI output
Query Classification:
- Simple: Single command exp
Content truncated.
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