Deep strategic research engine — decomposes questions into parallel research threads, spawns multiple agents, and synthesizes into actionable strategic analysis
日本語の概要は準備中です。原文の説明を表示しています。
Audit and export open issues from any project tracker with summary analysis and vault archival
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Check agent_mode in 00-inbox/MY-PROFILE.md frontmatter:
agent_mode: team — use parallel agents to collect from all active trackers simultaneously and produce a unified reportagent_mode: solo — collect from the primary tracker sequentially/export-open-issuesRead 00-inbox/MY-INTEGRATIONS.md to determine which trackers are active
Read 00-inbox/MY-PROFILE.md for active projects
Get current timestamp: Run date '+%Y-%m-%d %H:%M' using Bash
Ask the user (if not already provided):
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
Run collection sequentially for the primary tracker.
Process the collected data to produce:
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])
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%
---
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]*
Save to: 04-projects/[project]/audits/open-issues-YYYY-MM-DD.md
mkdir -p "04-projects/[project]/audits"
Show the user:
Ask if they want:
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
| 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!) |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Deep strategic research engine — decomposes questions into parallel research threads, spawns multiple agents, and synthesizes into actionable strategic analysis
日本語の概要は準備中です。原文の説明を表示しています。
Quick capture of raw thoughts with intelligent domain classification and competitive intelligence extraction
日本語の概要は準備中です。原文の説明を表示しています。
Run one task through the V-model verification loop: CP-2 plan → CP-3 build → CP-3v component verify → CP-4 integration verify (full lane) → CP-5 acceptance. The worker never grades its own homework; evidence rows trace back to AC-n. Opt-in: invoke with /closed-loop or by asking for the closed loop, proper verification, or an evidence trail. Ordinary work does not run this.
日本語の概要は準備中です。原文の説明を表示しています。
Deep-dive 7-day analysis across all data sources for weekly reviews, board prep, and strategic planning
日本語の概要は準備中です。原文の説明を表示しています。
Autonomous content pipeline - scout announcements in your field, triage by trend momentum and personal angle, produce posts/blogs/videos in your voice with ledger-based dedup, hard volume caps, and screenshot-verified publishing
日本語の概要は準備中です。原文の説明を表示しています。
Create user stories with duplicate checking across any project tracker (Linear, GitHub Issues, Jira)
日本語の概要は準備中です。原文の説明を表示しています。