AgentSkillsCN

sprint-planning

通过分析待办事项列表协助规划冲刺。列出未分配的问题,识别被阻塞的事项,展示已准备好进入冲刺的问题,还可将问题添加至冲刺计划。当用户说“冲刺规划”、“规划冲刺”或“待办事项分析”时,可使用此功能。

SKILL.md
--- frontmatter
name: sprint-planning
description: Help with sprint planning by analyzing the backlog. Lists unassigned issues, identifies blocked items, shows issues ready for sprint, can add issues to sprint. Use when user says "sprint planning", "plan sprint", or "backlog analysis".

Sprint Planning

Analyzes backlog for sprint planning. Lists backlog, ready-for-dev, and blocked issues; identifies sprint candidates.

Inputs

InputTypeDefaultPurpose
projectstringAAPJira project key
sprintstring""Sprint name to add issues to
limitint20Max issues to show
sprint_idstring""Sprint ID for auto_add
auto_addboolfalseAuto-add top candidate to sprint
check_qualitybooltrueRun jira_lint on backlog issues

Workflow

1. Load Persona

  • persona_load(persona="developer")

2. Known Issues & Knowledge

  • check_known_issues(tool_name="jira_list_issues", error_text="")
  • knowledge_query(project="automation-analytics-backend", persona="developer", section="patterns")
  • knowledge_query(project="automation-analytics-backend", persona="developer", section="gotchas")

3. Jira Queries

  • jira_list_issues(project=project, status="Backlog", limit=limit) — Backlog issues
  • jira_list_blocked(project=project) — Blocked issues
  • jira_list_issues(project=project, status="Ready for Development", limit=limit) — Ready issues

4. Parse Results

  • Backlog: extract issue keys (AAP-XXXXX) and summaries
  • Blocked: extract blocked issue keys
  • Ready: extract ready issue keys and summaries

5. Quality Check (if check_quality and backlog has issues)

  • jira_lint(issue_key=backlog_issues[0].key) — Check first backlog issue quality

6. Identify Sprint Candidates

  • Candidates = ready issues NOT in blocked set
  • Sort/filter for best candidates (first 10)

7. Auto-Add (if auto_add and candidates exist)

  • jira_add_to_sprint(issue_key=candidates[0].key, sprint_id=sprint_id)

8. Save Context & Log

  • Save to state/shared_context: last_sprint_planning with backlog_count, blocked_count, candidates
  • memory_session_log(action="Sprint planning for {project}", details="Backlog: X, Blocked: Y, Candidates: Z")

9. Learning from Failures

  • If "command timed out": learn_tool_fix("jira_list_issues", "command timed out", "Jira API timeout", "Check VPN and retry")
  • If "unauthorized": learn_tool_fix("jira_list_issues", "unauthorized", "Jira auth failed", "Check credentials")

Output Format

markdown
## 📋 Sprint Planning: AAP

### 📥 Backlog (N issues)
- **AAP-12345**: Summary...
### ✅ Ready for Development (N)
- **AAP-12346**: Summary...
### 🚫 Blocked (N)
- AAP-12347
### 🎯 Sprint Candidates (N)
- **AAP-12346**: Summary...

### Add to Sprint (if sprint provided)
jira_add_to_sprint(issue_key='AAP-12346', sprint='Sprint 42')

Key MCP Tools

  • persona_load, jira_list_issues, jira_list_blocked, jira_add_to_sprint, jira_lint, knowledge_query, check_known_issues, memory_session_log, learn_tool_fix