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Found 20 Skills
Orchestrate GitHub issue authoring by classifying request type, routing to a type-specific issue-author skill, and enforcing shared safety gates before mutation.
通过分析提交历史、分类更改并将技术提交转换为清晰的、面向客户的发布说明，自动从 git 提交创建面向用户的更新日志。将数小时的手动更新日志编写工作缩短为几分钟的自动生成。
Use this when you need to create text card images. It includes generating card HTML and calling the underlying HTML-to-image capability to output the final image. Suitable for scenarios such as WeChat Official Account long article covers, Xiaohongshu/Xiaolvshu graphic covers, etc.
Scaffolds new projects with README.md, AGENTS.md, and CI/CD (GitLab CI, GitHub Actions). Handles project type (generic / Flask backend / React frontend / Taro miniapp), tech stack, coding standards, quality level, and SDD (OpenSpec, SpecKit, GSD). All init flows (Flask, React, Taro) and conventions (backend-python-cicd, frontend-codegen, flask-backend-codegen, QA/testing, agent-roles/subagents) are built-in; no separate skills. Docs default to Chinese. Use when creating a project, initializing a repo, or setting up CI/CD/SDD.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
Given a domain, identify the few independent forces that truly underpin it. Reduce dozens of phenomena to the minimal set of generators—only when you can regenerate all phenomena from these generators does it count. Use this when the user says 'rank reduction', 'find rank', 'what is rank', 'what supports this domain', 'what lies behind it', or wants to decompose any domain into its irreducible generators.
Convert between Skill (SKILL.md) and Prompt (chat box instruction) formats. Supports two-way conversion between Skill→Prompt and Prompt→Skill with zero loss of core information. Use this when users mention Skill to Prompt conversion, Prompt to Skill conversion, format mutual conversion, or SKILL.md conversion.
Extract a learned skill from the current conversation
Automatically suggests optimal files to preload based on the user's task description and historical context patterns. Activates when the user starts a new task, mentions reading files, or when session context is being set up.
Comprehensive research combining web search and AI synthesis. Use for deep research on topics, comparing technologies, investigating libraries, and finding GitHub issues related to problems.
GitHub 审视 - Read-only GitHub triage for issues and PRs. 触发条件/Triggers: 需要分析 GitHub Issues 或 PRs、生成审查报告、或分类问题。 核心原则/Core Principles: - 只读不写/Read-only: 永不修改 GitHub 状态 - 证据支持/Evidence: 每个结论都需要 GitHub permalink 证明 - 并行分析/Parallel: 每个 Issue/PR 独立后台任务 - 报告输出/Reports: 写入临时目录，不操作 GitHub 命令/Commands: - /审视 analyze <repo> - 分析仓库所有开放 Issue 和 PR - /审视 issues <repo> - 只分析 Issues - /审视 prs <repo> - 只分析 PRs - /审视 <URL> - 分析特定 Issue 或 PR - /analyze <repo> - English command 能力/Capabilities: GitHub 数据读取、问题分类、证据收集、报告生成、后台并行处理。
Operational data query skill, which is applicable to obtaining operational data such as the enterprise's fiscal year time range and current week number. Use this skill when users need to: (1) Query current fiscal year information; (2) Get the current week number of the fiscal year.