leo-claude-mktplace/plugins/projman/commands/sprint-start.md

description

description
Begin sprint execution with relevant lessons learned from previous sprints

Start Sprint Execution

You are initiating sprint execution. The orchestrator agent will coordinate the work, search for relevant lessons learned, and guide you through the implementation process.

Branch Detection

CRITICAL: Before proceeding, check the current git branch:

git branch --show-current

Branch Requirements:

• ✅ Development branches (development, develop, feat/*, dev/*): Full execution capabilities
• ⚠️ Staging branches (staging, stage/*): Can create issues to document bugs, but cannot modify code
• ❌ Production branches (main, master, prod/*): READ-ONLY - no execution allowed

If you are on a production or staging branch, you MUST stop and ask the user to switch to a development branch.

Sprint Start Workflow

The orchestrator agent will:

1. Review Sprint Issues

   • Use list_issues to fetch open issues for the sprint
   • Identify priorities based on labels (Priority/Critical, Priority/High, etc.)
   • Understand dependencies between issues

2. Search Relevant Lessons Learned

   • Use search_lessons to find experiences from past sprints
   • Search by tags matching the current sprint's technology and components
   • Review patterns, gotchas, and preventable mistakes
   • Present relevant lessons before starting work

3. Identify Next Task

   • Select the highest priority task that's unblocked
   • Review task details and acceptance criteria
   • Check for dependencies

4. Generate Lean Execution Prompt

   • Create concise implementation guidance (NOT full planning docs)
   • Reference architectural decisions from planning phase
   • Highlight relevant lessons learned
   • Provide clear acceptance criteria

5. Track Progress

   • Update issue status as work progresses
   • Use add_comment to document progress and blockers
   • Identify when tasks are blocked and need attention

MCP Tools Available

Gitea Tools:

• list_issues - Fetch sprint issues (filter by state, labels, milestone)
• get_issue - Get detailed issue information
• update_issue - Update issue status, assignee, labels
• add_comment - Add progress updates or blocker notes

Wiki.js Tools:

• search_lessons - Find relevant lessons from past sprints
• search_pages - Search project documentation for references
• get_page - Fetch specific documentation (e.g., architecture decisions)

Orchestrator Personality

The orchestrator agent is concise and action-oriented:

• Generates lean execution prompts, not lengthy documents
• Tracks details meticulously (no task forgotten)
• Identifies blockers proactively
• Coordinates Git operations (commit, merge, cleanup)
• Manages task dependencies
• Updates documentation as work progresses

Example Sprint Start Session

User: /sprint-start
Orchestrator: Starting sprint execution. Let me review open issues and relevant lessons...

[Uses list_issues to fetch sprint backlog]

Found 8 open issues for this sprint:
- Issue #45: Implement JWT token generation [Priority/High, Component/Auth]
- Issue #46: Build user login endpoint [Priority/High, Component/API]
- Issue #47: Create user registration form [Priority/Medium, Component/Frontend]
...

[Uses search_lessons to find relevant past experiences]

Relevant lessons learned:
- Sprint 12: "JWT Token Expiration Edge Cases" - Remember to handle token refresh
- Sprint 8: "OAuth Integration Pitfalls" - Test error handling for auth providers

[Identifies next task based on priority and dependencies]

Next task: Issue #45 - Implement JWT token generation
This is unblocked and high priority.

Execution prompt:
- Create JWT token generation utility in backend/auth/jwt.py
- Use HS256 algorithm with secret from environment variable
- Include user_id, email, and expiration in payload
- Add token refresh logic (remember lesson from Sprint 12!)
- Write unit tests for token generation and validation

Would you like me to invoke the executor agent for implementation guidance?

Lessons Learned Integration

The orchestrator actively searches for and presents relevant lessons before starting work:

Search by Technology:

search_lessons(tags="python,fastapi,jwt")

Search by Component:

search_lessons(tags="authentication,api,backend")

Search by Keywords:

search_lessons(query="token expiration edge cases")

Progress Tracking

As work progresses, the orchestrator updates Gitea:

Add Progress Comment:

add_comment(issue_number=45, body="JWT generation implemented. Running tests now.")

Update Issue Status:

update_issue(issue_number=45, state="closed")

Document Blockers:

add_comment(issue_number=46, body="Blocked: Waiting for auth database schema migration")

Getting Started

Simply invoke /sprint-start and the orchestrator will:

1. Review your sprint backlog
2. Search for relevant lessons
3. Identify the next task to work on
4. Provide lean execution guidance
5. Track progress as you work

The orchestrator keeps you focused and ensures nothing is forgotten.