COG Export Open Issues Skill
SkillDev toolsAudit and export open issues from any project tracker with summary analysis and vault archival
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the COG Export Open Issues Skill skill
What this skill tells your AI
The instructions your AI receives, as published by huytieu/cog-second-brain in skills/export-open-issues/SKILL.md and read by ahel’s review.
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
-
Read
00-inbox/MY-INTEGRATIONS.mdto determine which trackers are active -
Read
00-inbox/MY-PROFILE.mdfor active projects -
Get current timestamp: Run
date '+%Y-%m-%d %H:%M'using Bash -
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:
- Executive summary
- Key health alerts (stale, blocked, unassigned)
- Top recommendations
- 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
| Scenario | Behavior |
|---|---|
| No tracker active | Inform user that a project tracker integration is needed; offer to set one up |
| Tracker API fails | Retry once, then report partial results with error note |
| Too many issues (>500) | Paginate collection, warn user, offer to filter by label/milestone/assignee |
| Multiple trackers active | Collect from all and produce a unified report, noting the source for each item |
| No open issues found | Report clean backlog status (this is good news!) |
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
Signals
- GitHub stars
- 1k
- Forks
- 133
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
export-open-issues- Source
- github.com/huytieu/cog-second-brain