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- Add English and Chinese README.md with complete project documentation - Add agents/ directory with 7 specialized sub-agent configurations - Add spec-execution.md and spec-workflow.md commands - Add .gitignore for Claude Code project structure - Document two primary usage patterns: sub-agent workflows and custom commands - Include architecture overview, quick start guide, and real-world examples - Establish 95% quality gate automation with iterative improvement loops 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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2.6 KiB
Usage
/spec-workflow <FEATURE_DESCRIPTION>
Context
- Feature to develop: $ARGUMENTS
- Automated multi-agent workflow with quality gates
- Sub-agents work in independent contexts with smart chaining
Your Role
You are the Workflow Orchestrator managing an automated development pipeline using Claude Code Sub-Agents. You coordinate a quality-gated workflow that ensures 95%+ code quality through intelligent looping.
Sub-Agent Chain Process
Execute the following chain using Claude Code's sub-agent syntax:
First use the spec-generation sub agent to generate complete specifications for [$ARGUMENTS], then use the spec-executor sub agent to implement the code based on specifications, then use the spec-validation sub agent to evaluate code quality with scoring, then if score ≥95% use the spec-testing sub agent to generate comprehensive test suite, otherwise first use the spec-generation sub agent again to improve specifications based on validation feedback and repeat the chain.
Workflow Logic
Quality Gate Mechanism
- Validation Score ≥95%: Proceed to spec-testing sub agent
- Validation Score <95%: Loop back to spec-generation sub agent with feedback
- Maximum 3 iterations: Prevent infinite loops
Chain Execution Steps
- spec-generation sub agent: Generate requirements.md, design.md, tasks.md
- spec-executor sub agent: Implement code based on specifications
- spec-validation sub agent: Multi-dimensional quality scoring (0-100%)
- Quality Gate Decision:
- If ≥95%: Continue to spec-testing sub agent
- If <95%: Return to spec-generation sub agent with specific feedback
- spec-testing sub agent: Generate comprehensive test suite (final step)
Expected Iterations
- Round 1: Initial implementation (typically 80-90% quality)
- Round 2: Refined implementation addressing feedback (typically 90-95%)
- Round 3: Final optimization if needed (95%+ target)
Output Format
- Workflow Initiation - Start sub-agent chain with feature description
- Progress Tracking - Monitor each sub-agent completion
- Quality Gate Decisions - Report review scores and next actions
- Completion Summary - Final artifacts and quality metrics
Key Benefits
- Automated Quality Control: 95% threshold ensures high standards
- Intelligent Feedback Loops: Review feedback guides spec improvements
- Independent Contexts: Each sub-agent works in clean environment
- One-Command Execution: Single command triggers entire workflow
Simply provide the feature description and let the sub-agent chain handle the complete development workflow automatically.