command-guide

90
0
Source

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.zip

Installs 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:

  1. Analyze user's specific context - Understand their exact need, workflow stage, and technical level
  2. Extract relevant information - Select only the pertinent parts from reference guides
  3. Synthesize and customize - Combine multiple sources, add context-specific examples
  4. 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:

  1. Identify search type (keyword/category/use-case)
  2. Query appropriate index (all-commands/by-category/by-use-case)
  3. Intelligently filter and rank results based on user's implied context
  4. Synthesize concise response with command names, brief descriptions, and use-case fit
  5. 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:

  1. Analyze workflow context - Understand where user is in their development cycle
  2. Query index/command-relationships.json for possible next commands
  3. Evaluate and prioritize recommendations based on:
    • User's stated goals
    • Common workflow patterns
    • Project complexity indicators
  4. Craft contextual guidance - Explain WHY each recommendation fits, not just WHAT to run
  5. 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:

  1. Locate command in index/all-commands.json
  2. Read original command file for full details
  3. Extract user-relevant sections - Focus on what they asked about (parameters OR examples OR workflow)
  4. Enhance with context - Add use-case specific examples if user's scenario is clear
  5. 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:

  1. Assess user background - Ask clarifying questions if needed (coding experience? project type?)
  2. ⚠️ 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
  3. Design personalized learning path based on their goals and stage
  4. Curate essential commands from index/essential-commands.json - Select 3-5 most relevant for their use case
  5. Provide guided first example - Walk through ONE complete workflow with explanation, emphasizing brainstorming for 0-to-1 scenarios
  6. 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:

  1. Understand issue context - Use AskUserQuestion to confirm type AND gather initial context
  2. Intelligently guide information collection:
    • Adapt questions based on previous answers
    • Skip irrelevant sections
    • Probe for missing critical details
  3. Select and customize template:
    • issue-diagnosis.md, issue-bug.md, issue-feature.md, or issue-question.md
    • Adapt template sections to match user's specific scenario
  4. 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
  5. 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):

  1. Identify target command/agent from user query
  2. Locate corresponding markdown file in reference/
  3. Extract contextually relevant sections - Not entire document
  4. Synthesize focused explanation:
    • Address user's specific question
    • Add context-appropriate examples
    • Link related concepts
  5. Offer progressive depth - "Want to know more about X?"

Complex Query (CLI-assisted analysis):

  1. Detect complexity indicators (多个命令对比、工作流程分析、最佳实践)
  2. Design targeted analysis prompt for gemini/qwen:
    • Frame user's question precisely
    • Specify required analysis depth
    • Request structured comparison/synthesis
    gemini -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
    
    Note: Use absolute path ~/.claude/skills/command-guide/reference for reference documentation access
  3. Process and integrate CLI analysis:
    • Extract key insights from CLI output
    • Add context-specific examples
    • Synthesize actionable recommendations
  4. Deliver tailored response - Not raw CLI output

Query Classification:

  • Simple: Single command exp

Content truncated.

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