mirror of
https://github.com/catlog22/Claude-Code-Workflow.git
synced 2026-03-01 15:03:57 +08:00
65763c76e9
- Introduced Phase 6: TDD Structure Validation to ensure compliance with TDD workflow standards, including task structure validation, dependency checks, and user configuration verification. - Implemented Phase 7: TDD Verification for full compliance checks, including task chain structure validation, coverage analysis, and TDD cycle verification. - Generated detailed TDD compliance reports with quality gate recommendations based on objective criteria. - Added documentation for new commands and workflows in the Claude Commands index.
338 lines
13 KiB
Python
338 lines
13 KiB
Python
#!/usr/bin/env python3
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"""
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Analyze all command/agent files and generate index files for ccw-help skill.
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Outputs relative paths pointing to source files (no reference folder duplication).
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"""
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import os
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import re
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import json
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from pathlib import Path
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from collections import defaultdict
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from typing import Dict, List, Any
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# Base paths
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BASE_DIR = Path("D:/Claude_dms3/.claude")
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COMMANDS_DIR = BASE_DIR / "commands"
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AGENTS_DIR = BASE_DIR / "agents"
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SKILL_DIR = BASE_DIR / "skills" / "ccw-help"
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INDEX_DIR = SKILL_DIR / "index"
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def parse_frontmatter(content: str) -> Dict[str, Any]:
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"""Extract YAML frontmatter from markdown content."""
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frontmatter = {}
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if content.startswith('---'):
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lines = content.split('\n')
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for i, line in enumerate(lines[1:], 1):
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if line.strip() == '---':
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break
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if ':' in line:
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key, value = line.split(':', 1)
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frontmatter[key.strip()] = value.strip().strip('"')
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return frontmatter
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def categorize_command(file_path: Path) -> tuple:
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"""Determine category and subcategory from file path."""
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parts = file_path.relative_to(COMMANDS_DIR).parts
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if len(parts) == 1:
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return "general", None
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category = parts[0] # cli, memory, task, workflow
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subcategory = parts[1].replace('.md', '') if len(parts) > 2 else None
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return category, subcategory
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def determine_usage_scenario(name: str, description: str, category: str) -> str:
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"""Determine primary usage scenario for command."""
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name_lower = name.lower()
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if any(word in name_lower for word in ['plan', 'design', 'breakdown', 'brainstorm']):
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return "planning"
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if any(word in name_lower for word in ['implement', 'execute', 'generate', 'create', 'write']):
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return "implementation"
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if any(word in name_lower for word in ['test', 'tdd', 'verify', 'coverage']):
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return "testing"
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if any(word in name_lower for word in ['docs', 'documentation', 'memory']):
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return "documentation"
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if any(word in name_lower for word in ['session', 'resume', 'status', 'complete']):
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return "session-management"
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if any(word in name_lower for word in ['analyze', 'review', 'diagnosis']):
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return "analysis"
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return "general"
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def determine_difficulty(name: str, description: str, category: str) -> str:
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"""Determine difficulty level."""
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name_lower = name.lower()
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beginner_keywords = ['status', 'list', 'chat', 'analyze', 'version']
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if any(word in name_lower for word in beginner_keywords):
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return "Beginner"
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advanced_keywords = ['tdd', 'conflict', 'agent', 'auto-parallel', 'coverage', 'synthesis']
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if any(word in name_lower for word in advanced_keywords):
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return "Advanced"
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return "Intermediate"
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def analyze_command_file(file_path: Path) -> Dict[str, Any]:
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"""Analyze a single command file and extract metadata."""
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with open(file_path, 'r', encoding='utf-8') as f:
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content = f.read()
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frontmatter = parse_frontmatter(content)
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name = frontmatter.get('name', file_path.stem)
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description = frontmatter.get('description', '')
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argument_hint = frontmatter.get('argument-hint', '')
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category, subcategory = categorize_command(file_path)
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usage_scenario = determine_usage_scenario(name, description, category)
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difficulty = determine_difficulty(name, description, category)
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# Build relative path from INDEX_DIR (need to go up 3 levels: index -> ccw-help -> skills -> .claude)
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# e.g., "../../../commands/workflow/lite-plan.md"
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rel_from_base = file_path.relative_to(BASE_DIR)
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rel_path = "../../../" + str(rel_from_base).replace('\\', '/')
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# Build full command name
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if ':' in name:
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command_name = f"/{name}"
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elif category == "general":
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command_name = f"/{name}"
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else:
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if subcategory:
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command_name = f"/{category}:{subcategory}:{name}"
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else:
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command_name = f"/{category}:{name}"
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return {
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"name": name,
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"command": command_name,
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"description": description,
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"arguments": argument_hint,
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"category": category,
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"subcategory": subcategory,
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"usage_scenario": usage_scenario,
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"difficulty": difficulty,
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"source": rel_path # Relative from index/ dir (e.g., "../../../commands/workflow/...")
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}
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def analyze_agent_file(file_path: Path) -> Dict[str, Any]:
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"""Analyze a single agent file and extract metadata."""
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with open(file_path, 'r', encoding='utf-8') as f:
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content = f.read()
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frontmatter = parse_frontmatter(content)
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name = frontmatter.get('name', file_path.stem)
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description = frontmatter.get('description', '')
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# Build relative path from INDEX_DIR (need to go up 3 levels)
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# e.g., "../../../agents/code-developer.md"
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rel_from_base = file_path.relative_to(BASE_DIR)
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rel_path = "../../../" + str(rel_from_base).replace('\\', '/')
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return {
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"name": name,
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"description": description,
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"source": rel_path # Relative from index/ dir (e.g., "../../../agents/...")
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}
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def build_command_relationships() -> Dict[str, Any]:
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"""Build command relationship mappings."""
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return {
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"workflow-plan": {
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"calls_internally": ["workflow:session:start", "workflow:tools:context-gather", "workflow:tools:conflict-resolution", "workflow:tools:task-generate-agent"],
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"next_steps": ["workflow-plan-verify", "workflow:status", "workflow-execute"],
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"alternatives": ["workflow-tdd-plan"],
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"prerequisites": []
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},
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"workflow-tdd-plan": {
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"calls_internally": ["workflow:session:start", "workflow:tools:context-gather", "workflow:tools:task-generate-tdd"],
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"next_steps": ["workflow-tdd-verify", "workflow:status", "workflow-execute"],
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"alternatives": ["workflow-plan"],
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"prerequisites": []
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},
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"workflow-execute": {
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"prerequisites": ["workflow-plan", "workflow-tdd-plan"],
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"related": ["workflow:status", "workflow:resume"],
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"next_steps": ["workflow:review", "workflow-tdd-verify"]
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},
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"workflow-plan-verify": {
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"prerequisites": ["workflow-plan"],
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"next_steps": ["workflow-execute"],
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"related": ["workflow:status"]
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},
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"workflow-tdd-verify": {
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"prerequisites": ["workflow-execute"],
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"related": ["workflow:tools:tdd-coverage-analysis"]
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},
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"workflow:session:start": {
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"next_steps": ["workflow-plan", "workflow-execute"],
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"related": ["workflow:session:list", "workflow:session:resume"]
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},
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"workflow:session:resume": {
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"alternatives": ["workflow:resume"],
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"related": ["workflow:session:list", "workflow:status"]
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},
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"workflow-lite-plan": {
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"calls_internally": ["workflow:lite-execute"],
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"next_steps": ["workflow:lite-execute", "workflow:status"],
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"alternatives": ["workflow-plan"],
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"prerequisites": []
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},
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"workflow:lite-fix": {
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"next_steps": ["workflow:lite-execute", "workflow:status"],
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"alternatives": ["workflow-lite-plan"],
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"related": ["workflow-test-fix"]
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},
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"workflow:lite-execute": {
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"prerequisites": ["workflow-lite-plan", "workflow:lite-fix"],
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"related": ["workflow-execute", "workflow:status"]
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},
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"workflow:review-session-cycle": {
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"prerequisites": ["workflow-execute"],
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"next_steps": ["workflow:review-fix"],
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"related": ["workflow:review-module-cycle"]
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},
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"workflow:review-fix": {
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"prerequisites": ["workflow:review-module-cycle", "workflow:review-session-cycle"],
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"related": ["workflow-test-fix"]
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},
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"memory:docs": {
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"calls_internally": ["workflow:session:start", "workflow:tools:context-gather"],
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"next_steps": ["workflow-execute"]
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},
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"memory:skill-memory": {
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"next_steps": ["workflow-plan", "cli:analyze"],
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"related": ["memory:load-skill-memory"]
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}
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}
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def identify_essential_commands(all_commands: List[Dict]) -> List[Dict]:
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"""Identify the most essential commands for beginners."""
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essential_names = [
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"workflow-lite-plan", "workflow:lite-fix", "workflow-plan",
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"workflow-execute", "workflow:status", "workflow:session:start",
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"workflow:review-session-cycle", "cli:analyze", "cli:chat",
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"memory:docs", "workflow:brainstorm:artifacts",
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"workflow-plan-verify", "workflow:resume", "version"
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]
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essential = []
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for cmd in all_commands:
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cmd_name = cmd['command'].lstrip('/')
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if cmd_name in essential_names:
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essential.append(cmd)
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essential.sort(key=lambda x: essential_names.index(x['command'].lstrip('/')) if x['command'].lstrip('/') in essential_names else 999)
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return essential[:14]
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def main():
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"""Main analysis function."""
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import sys
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import io
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if sys.platform == 'win32':
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sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
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print("=== CCW-Help Index Rebuild ===\n")
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# Analyze command files
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print("=== Analyzing Command Files ===")
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command_files = list(COMMANDS_DIR.rglob("*.md"))
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print(f"Found {len(command_files)} command files")
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all_commands = []
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for cmd_file in sorted(command_files):
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try:
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metadata = analyze_command_file(cmd_file)
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all_commands.append(metadata)
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print(f" OK {metadata['command']}")
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except Exception as e:
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print(f" ERROR analyzing {cmd_file}: {e}")
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# Analyze agent files
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print("\n=== Analyzing Agent Files ===")
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agent_files = list(AGENTS_DIR.rglob("*.md"))
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print(f"Found {len(agent_files)} agent files")
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all_agents = []
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for agent_file in sorted(agent_files):
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try:
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metadata = analyze_agent_file(agent_file)
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all_agents.append(metadata)
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print(f" OK {metadata['name']}")
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except Exception as e:
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print(f" ERROR analyzing {agent_file}: {e}")
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print(f"\nAnalyzed {len(all_commands)} commands, {len(all_agents)} agents")
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# Generate index files
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INDEX_DIR.mkdir(parents=True, exist_ok=True)
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# 1. all-commands.json
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all_commands_path = INDEX_DIR / "all-commands.json"
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with open(all_commands_path, 'w', encoding='utf-8') as f:
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json.dump(all_commands, f, indent=2, ensure_ascii=False)
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print(f"\nOK Generated {all_commands_path.name} ({os.path.getsize(all_commands_path)} bytes)")
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# 2. all-agents.json
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all_agents_path = INDEX_DIR / "all-agents.json"
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with open(all_agents_path, 'w', encoding='utf-8') as f:
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json.dump(all_agents, f, indent=2, ensure_ascii=False)
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print(f"OK Generated {all_agents_path.name} ({os.path.getsize(all_agents_path)} bytes)")
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# 3. by-category.json
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by_category = defaultdict(lambda: defaultdict(list))
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for cmd in all_commands:
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cat = cmd['category']
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subcat = cmd['subcategory'] or '_root'
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by_category[cat][subcat].append(cmd)
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by_category_path = INDEX_DIR / "by-category.json"
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with open(by_category_path, 'w', encoding='utf-8') as f:
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json.dump(dict(by_category), f, indent=2, ensure_ascii=False)
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print(f"OK Generated {by_category_path.name} ({os.path.getsize(by_category_path)} bytes)")
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# 4. by-use-case.json
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by_use_case = defaultdict(list)
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for cmd in all_commands:
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by_use_case[cmd['usage_scenario']].append(cmd)
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by_use_case_path = INDEX_DIR / "by-use-case.json"
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with open(by_use_case_path, 'w', encoding='utf-8') as f:
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json.dump(dict(by_use_case), f, indent=2, ensure_ascii=False)
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print(f"OK Generated {by_use_case_path.name} ({os.path.getsize(by_use_case_path)} bytes)")
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# 5. essential-commands.json
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essential = identify_essential_commands(all_commands)
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essential_path = INDEX_DIR / "essential-commands.json"
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with open(essential_path, 'w', encoding='utf-8') as f:
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json.dump(essential, f, indent=2, ensure_ascii=False)
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print(f"OK Generated {essential_path.name} ({os.path.getsize(essential_path)} bytes)")
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# 6. command-relationships.json
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relationships = build_command_relationships()
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relationships_path = INDEX_DIR / "command-relationships.json"
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with open(relationships_path, 'w', encoding='utf-8') as f:
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json.dump(relationships, f, indent=2, ensure_ascii=False)
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print(f"OK Generated {relationships_path.name} ({os.path.getsize(relationships_path)} bytes)")
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# Print summary
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print("\n=== Summary ===")
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print(f"Commands: {len(all_commands)}")
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print(f"Agents: {len(all_agents)}")
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print(f"Essential: {len(essential)}")
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print(f"\nBy category:")
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for cat in sorted(by_category.keys()):
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total = sum(len(cmds) for cmds in by_category[cat].values())
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print(f" {cat}: {total}")
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print(f"\nIndex: {INDEX_DIR}")
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print("=== Complete ===")
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if __name__ == '__main__':
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main()
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