القائمة
Analyze unlabeled GitHub issues and generate label recommendations for review. Supports batch submission after approval.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Spawn interactive terminal TUI components (calendars, documents, flight bookings) with real-time IPC communication. Display rich content and collect user selections in tmux split panes.
Fetch GitHub issues and use LLM judgment to prioritize them based on importance, clarity, delegation potential, and urgency. Helps identify what to work on next.
Compare local codebase capabilities against competitor products by researching competitor features via web search and documentation, analyzing local code patterns, and generating an interactive HTML comparison report.
Generate a visual report of what was shipped in GitHub repositories over a specified time period by analyzing merged PRs and closed issues.
Parse meeting transcripts to extract action items and create GitHub issues after user confirmation. Converts discussions into trackable work items.
Review Azure Data Explorer dashboards for Copilot CLI metrics and update Google Sheets scorecard. Connects to existing Chrome session for authentication.
| name | issue-labeler |
| description | Analyze unlabeled GitHub issues and generate label recommendations for review. Supports batch submission after approval. |
| license | MIT |
| compatibility | Requires gh CLI authenticated with repo access. |
| metadata | {"author":"patrick","version":"1.0"} |
| allowed-tools | bash gh jq |
Generate label recommendations for unlabeled GitHub issues, review them, then submit in batch.
# Fetch unlabeled issues and analyze them
./scripts/analyze.sh owner/repo
This creates recommendations.json with suggested labels for each issue.
# Launch the review UI
./scripts/serve.sh
The UI shows:
After reviewing in the UI, export approved recommendations and run:
# Apply approved labels
./scripts/apply.sh recommendations-approved.json
Or use the "Submit All" button in the UI to apply via gh CLI.
The analyzer suggests labels from these categories:
| Category | Labels |
|---|---|
| Type | bug, enhancement, question, documentation |
| Priority | priority-1, priority-2, priority-3 |
| Status | triage, needs-info, investigating, confirmed |
| Area | (detected from content: auth, cli, api, ui, etc.) |
For each unlabeled issue, the LLM analyzes:
issue-labeler/
├── SKILL.md # This file
├── review.html # Review UI for recommendations
├── scripts/
│ ├── analyze.sh # Fetch and generate recommendations
│ ├── apply.sh # Apply approved labels
│ └── serve.sh # Launch review UI
├── recommendations.json # Generated recommendations (git-ignored)
└── approved.json # Approved recommendations (git-ignored)
{
"number": 123,
"title": "App crashes when clicking submit",
"current_labels": [],
"recommended_labels": ["bug", "priority-2", "needs-info"],
"confidence": 0.85,
"reasoning": "Title indicates crash (bug). No repro steps provided (needs-info). User-facing issue (priority-2).",
"approved": null
}
./scripts/apply.sh --dry-rungh CLI authenticated with write access to issuesgh auth status to verify permissions--limit flag