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Agent skills
ai-skills

Topic: ai-skills

5,410 skills in this topic.

claude-settings-audit Analyze a repository to generate recommended Claude Code settings.json permissions. Use when setting up a new project, auditing existing settings, or determining which read-only bash commands to allow. Detects tech stack, build tools, and monorepo structure.
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code-review Perform code reviews following Sentry engineering practices. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and design review.
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commit Create commit messages following Sentry conventions. Use when committing code changes, writing commit messages, or formatting git history. Follows conventional commits with Sentry-specific issue references.
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create-pr Create pull requests following Sentry conventions. Use when opening PRs, writing PR descriptions, or preparing changes for review. Follows Sentry's code review guidelines.
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deslop Remove AI-generated code slop from a branch. Use when cleaning up AI-generated code, removing unnecessary comments, defensive checks, or type casts. Checks diff against main and fixes style inconsistencies.
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find-bugs Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.
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iterate-pr Iterate on a PR until CI passes. Use when you need to fix CI failures, address review feedback, or continuously push fixes until all checks are green. Automates the feedback-fix-push-wait cycle.
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gen-paylink-govilo Upload files to Govilo and generate unlock links via Bot API. Use when: (1) Creating a Govilo unlock link from a ZIP, folder, or individual files, (2) Automating file upload to Govilo R2 storage with presigned URLs, (3) Managing Govilo Bot API interactions (presign → upload → create item). Requires GOVILO_API_KEY and SELLER_ADDRESS env vars. If missing, guides user to register at https://govilo.xyz/.
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hook-development This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven automation", "block dangerous commands", or mentions hook events (PreToolUse, PostToolUse, Stop, SubagentStop, SessionStart, SessionEnd, UserPromptSubmit, PreCompact, Notification). Provides comprehensive guidance for creating and implementing Claude Code plugin hooks with focus on advanced prompt-based hooks API.
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chatgpt-app-builder DEPRECATED: This skill has been replaced by `mcp-app-builder`. Check if `mcp-app-builder` is available in the skills folder. If not, install it: `npx skills install mcp-use/mcp-use --skill mcp-app-builder` Use `mcp-app-builder` instead of this skill. Build ChatGPT apps with interactive widgets using mcp-use and OpenAI Apps SDK. Use when creating ChatGPT apps, building MCP servers with widgets, defining React widgets, working with Apps SDK, or when user mentions ChatGPT widgets, mcp-use widgets, or Apps SDK development.
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mcp-apps-builder **MANDATORY for ALL MCP server work** - mcp-use framework best practices and patterns. **READ THIS FIRST** before any MCP server work, including: - Creating new MCP servers - Modifying existing MCP servers (adding/updating tools, resources, prompts, widgets) - Debugging MCP server issues or errors - Reviewing MCP server code for quality, security, or performance - Answering questions about MCP development or mcp-use patterns - Making ANY changes to server.tool(), server.resource(), server.prompt(), or widgets This skill contains critical architecture decisions, security patterns, and common pitfalls. Always consult the relevant reference files BEFORE implementing MCP features.
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mcp-builder DEPRECATED: This skill has been replaced by `mcp-app-builder`. Check if `mcp-app-builder` is available in the skills folder. If not, install it: `npx skills install mcp-use/mcp-use --skill mcp-app-builder` Use `mcp-app-builder` instead of this skill. Build Model Context Protocol (MCP) servers with mcp-use framework. Use when creating MCP servers, defining tools/resources/prompts, working with mcp-use, bootstrapping MCP projects, or when user mentions MCP development, tools, resources, or prompts.
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ponyflash Generate images, videos, speech audio, and music using the PonyFlash Python SDK. Also handle local media editing with FFmpeg, including clip, concat, transcode, extract audio, frame capture, subtitle capability checks, and ASS subtitle prep. Use when the user asks to create, generate, produce, edit, trim, merge, concatenate, transcode, subtitle, or render AI-generated media content.
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backlog-manager 需求池管理。用户随时抛出想法/痛点，AI 负责追问、整理、合并、归档到需求池文件。用户准备开新版本时，协助从池中筛选。痛点驱动，不做提前排期。
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design-exploration 新功能设计探索流程。当用户有模糊想法要做新功能/新模块时使用。通过"需求收敛 → 技术调研 → ASCII 批量探索 → HTML 设计稿 → 全状态覆盖 → 需求总结"的结构化流程，从模糊想法产出可交付的设计参考文档，作为 PRD 阶段的输入。
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git-push 一键推送项目到 GitHub。自动扫描大文件、生成 .gitignore、初始化 Git、创建仓库并推送。支持首次推送、日常更新、版本发布三种模式。当用户说"推到GitHub"、"推送到GitHub"、"git push"、"上传到GitHub"、"发版本"、"打release"、"/git-push"时触发。
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github-repo-search 帮助用户搜索和筛选 GitHub 开源项目，输出结构化推荐报告。当用户说"帮我找开源项目"、"搜一下GitHub上有什么"、"找找XX方向的仓库"、"开源项目推荐"、"github搜索"、"/github-search"时触发。
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image-assistant 配图助手 - 把文章/模块内容转成统一风格、少字高可读的 16:9 信息图提示词；先定“需要几张图+每张讲什么”，再压缩文案与隐喻，最后输出可直接复制的生图提示词并迭代。
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issue-triage GitHub Issue 处理协作流程。当用户收到 issue 需要分析和回复时使用。通过"诊断 → 定性 → 决策 → 回复"四步法，从一个 issue 产出准确的根因分析和得体的用户回复，避免误判问题类型或回复不专业。
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lesson-builder 帮助用户通过讨论完成课程大纲和课件。当用户说"备课"、"做课件"、"准备课程"时触发。
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memory-init 在当前目录下初始化记忆系统，生成 CLAUDE.md（可选 AGENT.md 给 Cursor 用）、MEMORY.md 和 memory/ 目录。当用户说"初始化记忆"、"搭建记忆"、"memory init"、"/memory-init"时触发。
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prd-doc-writer Write and iteratively refine PRD/需求文档 with a story-driven structure and strict staged confirmations (journey map alignment, per-story single-point confirmation, final generation gate). Use when the user asks to 梳理/撰写/完善 PRD、需求文档、用户故事、验收标准，并希望用 ASCII 线框图与 Mermaid（流程图/状态图/时序图）来减少歧义、共同完成文档。
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priority-judge 优先级判断助手 - 帮用户从混沌的待办事项中判断优先级，确定现在该做什么。当用户说"我有很多事要做"、"帮我理一下"、"排个优先级"、"今天该做什么"时触发。
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product-naming 产品命名协作流程。当用户想给产品/项目/模块起名字时使用。通过"灵魂挖掘 → 约束提取 → 路线发散 → 方向选择 → 竞品验证 → 最终确认"的结构化流程，从模糊想法产出有品牌生命力的名字，避免拍脑袋起名。
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