copilot-flow
AI collaboration workflow plugin - Implements automated collaborative development process between Claude and Copilot through structured 5-stage workflow
Best use case
copilot-flow is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. AI collaboration workflow plugin - Implements automated collaborative development process between Claude and Copilot through structured 5-stage workflow
AI collaboration workflow plugin - Implements automated collaborative development process between Claude and Copilot through structured 5-stage workflow
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "copilot-flow" skill to help with this workflow task. Context: AI collaboration workflow plugin - Implements automated collaborative development process between Claude and Copilot through structured 5-stage workflow
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/copilot-flow/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How copilot-flow Compares
| Feature / Agent | copilot-flow | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
AI collaboration workflow plugin - Implements automated collaborative development process between Claude and Copilot through structured 5-stage workflow
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Copilot Flow Integration When to use this skill: - When you need a structured AI-assisted development workflow - When you want to leverage both Claude and Copilot's strengths - When you require end-to-end task management from analysis to delivery **Triggering conditions:** - When user mentions "請 Copilot 協助" (Please ask Copilot to assist) - When user says "詢問 Copilot" (Ask Copilot) - When user requests "執行 copilot-flow" (Execute copilot-flow) - When user starts with "copilot-flow:" or "c-flow:" prefix ## Core Features This skill orchestrates a complete 5-stage AI collaboration workflow: 1. **Analyze** (Claude) - Requirements analysis and structuring 2. **Design** (Copilot) - Architecture design and planning 3. **Implement** (Claude) - Code implementation based on design 4. **Review** (Copilot) - Code quality assessment 5. **Deliver** (Claude) - Final integration and documentation ## Workflow Commands The workflow is managed through specialized slash commands in the `/commands` directory: ### /copilot-flow:analyze [task description] - Executes the analysis phase - Claude analyzes requirements and prepares structured prompts - Output: `analysis-result.md` ### /copilot-flow:design [goals] - Executes the design phase using Copilot MCP - Creates architecture design based on analysis - Output: `architecture-design.md` ### /copilot-flow:implement [target] - Executes implementation phase - Claude implements code following Copilot's design - Output: Source code files and `implementation-report.md` ### /copilot-flow:review [scope] - Executes review phase using Copilot MCP - Professional code review with focus areas - Output: `code-review-report.md` ### /copilot-flow:deliver [objectives] - Executes final delivery phase - Claude integrates all results and documentation - Output: Complete delivery package ## Usage Patterns ### Full Workflow Execution For complete task execution, use the workflow orchestrator: ``` 執行 copilot-flow 實現用戶認證系統 ``` This will: 1. Show preview of all stages 2. Wait for confirmation 3. Execute each stage in sequence 4. Manage state between stages 5. Provide final delivery package ### Individual Stage Execution Execute specific stages independently: ``` /copilot-flow:analyze 分析現有代碼庫並提出改進建議 /copilot-flow:review 審查 auth.js 檔案的安全性 /copilot-flow:implement 根據設計文檔實現 API 端點 ``` ## State Management The workflow maintains state through: - `.claude/workflow-state.json` - Current stage and progress - Stage output files - Results from each phase - claude-mem integration - Complete interaction history ## AI Model Collaboration ### Claude Responsibilities - Requirements analysis and structuring - Code implementation and modifications - Final integration and delivery - File system operations ### Copilot Responsibilities (via MCP) - Architecture design recommendations - Code quality review and feedback - Security and performance assessment - Best practices guidance ## Example Workflow ### User Request ``` 執行 copilot-flow 實現一個 REST API 進行用戶認證,支持 JWT token ``` ### Workflow Execution 1. **Preview Mode** - Shows planned stages and estimated time 2. **Analysis** - Claude breaks down requirements 3. **Design** - Copilot suggests architecture 4. **Implementation** - Claude writes code 5. **Review** - Copilot reviews implementation 6. **Delivery** - Claude prepares final package ### Outputs - `analysis-result.md` - Structured requirements - `architecture-design.md` - System design - Source code files - Implementation - `code-review-report.md` - Quality assessment - `delivery/` - Complete package with docs ## Best Practices ### Do - Start with clear requirements - Let the workflow handle stage transitions - Review each stage output before proceeding - Use full workflow for complex tasks - Execute individual stages for specific needs ### Don't - Skip stages in full workflow mode - Modify intermediate files manually - Run stages out of sequence - Ignore review recommendations ## Error Recovery If workflow is interrupted: 1. Check `.claude/workflow-state.json` for current state 2. Resume from last completed stage 3. Or restart from specific stage 4. All progress is preserved ## Integration with Other Skills - **copilot-mcp-server**: Used internally by design and review stages - **claude-mem**: Records all workflow interactions - File system tools: Used by Claude for implementation ## Keywords AI collaboration, workflow, automation, Claude, Copilot, structured development, end-to-end, project management, code review, architecture design
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