菜单
Triage and manage GitHub issues. Use when reviewing issues or planning work.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes architecture diagram generation, system design patterns, tech stack decision frameworks, and dependency analysis. Use when designing system architecture, making technical decisions, creating architecture diagrams, evaluating trade-offs, or defining integration patterns.
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.
Comprehensive fullstack development skill for building complete web applications with React, Next.js, Node.js, GraphQL, and PostgreSQL. Includes project scaffolding, code quality analysis, architecture patterns, and complete tech stack guidance. Use when building new projects, analyzing code quality, implementing design patterns, or setting up development workflows.
World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.
World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.
| name | issue-triage |
| description | Triage and manage GitHub issues. Use when reviewing issues or planning work. |
# List open issues
gh issue list
# View specific issue
gh issue view <number>
# List with labels
gh issue list --label "bug"
# Add labels
gh issue edit <number> --add-label "bug,priority:high"
# Remove labels
gh issue edit <number> --remove-label "needs-triage"
| Label | Description |
|---|---|
bug | Something isn't working |
enhancement | New feature request |
documentation | Docs improvement |
good-first-issue | Good for newcomers |
help-wanted | Extra attention needed |
duplicate | Already exists |
wontfix | Won't be addressed |
invalid | Not valid issue |
priority:critical - Production down, security issuepriority:high - Major functionality brokenpriority:medium - Important but not urgentpriority:low - Nice to havesize:S - Small, < 1 daysize:M - Medium, 1-3 dayssize:L - Large, 3-5 dayssize:XL - Extra large, needs breakdown# Add comment
gh issue comment <number> --body "Thanks for reporting! I can reproduce this."
# Assign
gh issue edit <number> --add-assignee @username
# Close as duplicate
gh issue close <number> --comment "Duplicate of #123" --reason "not planned"
# Close as completed
gh issue close <number> --comment "Fixed in #456"
# Add to project board
gh issue edit <number> --add-project "Project Name"
Thanks for reporting! To help us investigate, could you provide:
- Steps to reproduce
- Expected vs actual behavior
- Environment (OS, version, etc.)
Thanks for reporting! This appears to be a duplicate of #XXX.
I'm closing this issue, but please follow the linked issue for updates.
Thanks for the suggestion! After consideration, we've decided not to
implement this because [reason]. Feel free to discuss further if you disagree.