export-open-issues（导出未决问题）

COG Export Open Issues Skill

When to Invoke

• User wants to audit open issues or backlog health
• User says "export issues", "open issues", "backlog audit", "issue report", "what's open"
• Sprint/cycle planning prep — need a clear picture of what's in flight
• Stakeholder reporting — need a snapshot of current work status

Agent Mode Awareness

Check agent_mode in 00-inbox/MY-PROFILE.md frontmatter:

• If agent_mode: team — use parallel agents to collect from all active trackers simultaneously and produce a unified report
• If agent_mode: solo — collect from the primary tracker sequentially

Command: /export-open-issues

Pre-Flight Check

1. Read 00-inbox/MY-INTEGRATIONS.md to determine which trackers are active
2. Read 00-inbox/MY-PROFILE.md for active projects
3. Get current timestamp: Run date '+%Y-%m-%d %H:%M' using Bash
4. Ask the user (if not already provided):

- Which project? (if multiple active) - Scope: all open issues, or filtered by label/milestone/assignee? - Include additional analysis? (aging, priority distribution, assignee load)

Execution Strategy

Phase 1: Collect Open Issues

Team Mode (parallel agents)

Launch collection agents using the Task tool with run_in_background: true:

Agent: "github-issues-collector" (if GitHub is active)

Export all open issues from GitHub.
Repository: [CUSTOMIZE: your-org/your-repo]

1. Get all open issues:
   gh issue list --repo [CUSTOMIZE: your-org/your-repo] --state open --json number,title,author,assignees,labels,createdAt,updatedAt,milestone,url --limit 500

2. Get all open PRs (separate from issues):
   gh pr list --repo [CUSTOMIZE: your-org/your-repo] --state open --json number,title,author,labels,createdAt,updatedAt,reviewDecision,url --limit 200

For each issue, calculate:
- Age in days (today - createdAt)
- Days since last update (today - updatedAt)
- Staleness flag: >30 days since last update = stale

Return: full issue list with calculated fields

Agent: "linear-issues-collector" (if Linear is active)

Export all open issues from Linear.

1. Use ToolSearch to load Linear tools
2. List all teams: mcp__claude_ai_Linear_2__list_teams
3. For each relevant team, list open issues: mcp__claude_ai_Linear_2__list_issues
4. Get current cycles: mcp__claude_ai_Linear_2__list_cycles
5. Get milestones: mcp__claude_ai_Linear_2__list_milestones

For each issue, collect:
- ID, title, status, priority, assignee, labels, project
- Created date, updated date
- Cycle membership
- Blocked status

Return: full issue list with metadata

Agent: "jira-issues-collector" (if Jira is active)

Export all open issues from Jira.
Project: [CUSTOMIZE: YOUR-PROJECT-KEY]

1. Search open issues:
   JQL: project = "[CUSTOMIZE: YOUR-PROJECT-KEY]" AND status NOT IN (Done, Closed, Resolved) ORDER BY priority DESC, created ASC

2. For each issue, collect:
   key, summary, issuetype, status, priority, assignee, reporter, labels, components, fixVersion, created, updated, duedate

Return: full issue list with metadata

Solo Mode

Run collection sequentially for the primary tracker.

Phase 2: Analyze and Categorize

Process the collected data to produce:

2.1 Summary Statistics

Total Open Issues: [N]
  - By Priority: Critical [N], High [N], Medium [N], Low [N], None [N]
  - By Type: Feature [N], Bug [N], Task [N], Other [N]
  - By Status: To Do [N], In Progress [N], In Review [N], Blocked [N]
  - By Assignee: [Name] ([N]), [Name] ([N]), Unassigned ([N])

2.2 Health Indicators

• Stale issues (no update in >30 days): list with age
• Unassigned issues: list with priority
• Blocked issues: list with blocker details
• Overdue issues (past due date): list with days overdue
• Oldest open issues: top 10 by age
• In-progress bottleneck: issues in "In Progress" for >7 days

2.3 Distribution Charts (text-based)

Priority Distribution:
  Critical  ████░░░░░░  12%
  High      ████████░░  38%
  Medium    ██████░░░░  28%
  Low       ████░░░░░░  22%

Age Distribution:
  <7 days   ██████████  45%
  7-30 days ██████░░░░  30%
  30-90 d   ███░░░░░░░  15%
  >90 days  ██░░░░░░░░  10%

Phase 3: Generate Report

---
type: open-issues-audit
project: [project-name]
date: [YYYY-MM-DD]
created: [YYYY-MM-DD HH:MM]
source: [github/linear/jira/multi]
tags: ["#issues-audit", "#[project-name]", "#backlog"]
summary:
  total_open: [N]
  critical: [N]
  high: [N]
  stale: [N]
  unassigned: [N]
  blocked: [N]
  oldest_days: [N]
---

# Open Issues Audit — [Project Name]

**Date:** [YYYY-MM-DD]
**Source:** [Tracker(s) used]
**Total Open Issues:** [N]

---

## Executive Summary

[2-3 sentences: overall backlog health, biggest concerns, and recommended actions]

---

## Summary Statistics

| Category | Count | % of Total |
|----------|-------|-----------|
| **By Priority** | | |
| Critical | [N] | [%] |
| High | [N] | [%] |
| Medium | [N] | [%] |
| Low | [N] | [%] |
| No Priority | [N] | [%] |
| **By Status** | | |
| To Do | [N] | [%] |
| In Progress | [N] | [%] |
| In Review | [N] | [%] |
| Blocked | [N] | [%] |
| **By Type** | | |
| Feature/Story | [N] | [%] |
| Bug | [N] | [%] |
| Task | [N] | [%] |
| Other | [N] | [%] |

---

## Assignee Load

| Assignee | Open Issues | Critical/High | In Progress | Oldest Issue (days) |
|----------|-------------|---------------|-------------|-------------------|
| [Name] | [N] | [N] | [N] | [N] |
| [Name] | [N] | [N] | [N] | [N] |
| Unassigned | [N] | [N] | — | [N] |

---

## Health Alerts

### Stale Issues (>30 days without update)
| # | Title | Assignee | Priority | Age (days) | Last Updated |
|---|-------|----------|----------|-----------|-------------|
| [#] | [Title] | [Name] | [Priority] | [N] | [Date] |

### Blocked Issues
| # | Title | Assignee | Blocked By | Days Blocked |
|---|-------|----------|-----------|-------------|
| [#] | [Title] | [Name] | [Reason] | [N] |

### Unassigned High-Priority Issues
| # | Title | Priority | Age (days) | Labels |
|---|-------|----------|-----------|--------|
| [#] | [Title] | [Priority] | [N] | [Labels] |

### Overdue Issues
| # | Title | Assignee | Due Date | Days Overdue |
|---|-------|----------|----------|-------------|
| [#] | [Title] | [Name] | [Date] | [N] |

---

## Full Issue List

### Critical Priority
| # | Title | Status | Assignee | Age | Labels | URL |
|---|-------|--------|----------|-----|--------|-----|
| [#] | [Title] | [Status] | [Name] | [N]d | [Labels] | [URL] |

### High Priority
[Same table format]

### Medium Priority
[Same table format]

### Low Priority
[Same table format]

---

## Recommendations

1. **[Recommendation 1]** — [Specific action with rationale]
2. **[Recommendation 2]** — [Specific action with rationale]
3. **[Recommendation 3]** — [Specific action with rationale]

---

*Generated by COG Open Issues Audit | [Date]*

Phase 4: Save to Vault

Save to: 04-projects/[project]/audits/open-issues-YYYY-MM-DD.md

mkdir -p "04-projects/[project]/audits"

Phase 5: Present Results

Show the user:

1. Executive summary
2. Key health alerts (stale, blocked, unassigned)
3. Top recommendations
4. File location

Ask if they want:

• Full detailed view
• Export as CSV (generate a simple CSV file alongside the markdown)
• Share to a specific channel or wiki

CSV Export (Optional)

If user requests CSV, generate alongside the markdown:

#,Title,Type,Status,Priority,Assignee,Labels,Created,Updated,Age(days),URL
[data rows]

Save to: 04-projects/[project]/audits/open-issues-YYYY-MM-DD.csv

Fallback Behavior

Error Handling

• Rate limits: Paginate requests and add delays if needed
• Large payloads: Summarize rather than list all items if >200 issues
• Missing fields: Mark as "N/A" rather than failing
• Context overflow: Process in batches, summarize per batch