sred-work-summary
[ 官方 ]Go back through the previous year of work and create a Notion doc that groups relevant links into projects that can then be documented as SRED projects.
查找适用于 Claude Code、Cursor 等 AI Agent 的开发工具技能,自动处理编码、调试、重构和项目工作流。
这个技能目录把可安装的 AI Agent 技能集中在一起,方便你按搜索、分类、主题和官方来源快速筛选,并直接安装到 Claude Code、Cursor、Windsurf 等环境。
Go back through the previous year of work and create a Notion doc that groups relevant links into projects that can then be documented as SRED projects.
The create-branch AI agent skill automates Git branch creation, following Sentry naming conventions. It benefits developers by saving time and reducing errors, making it an essential tool for efficient coding workflows.
GitHub 代码审查请求 AI Agent Skill 是一种自动化工具,用于获取未读的 GitHub 代码审查请求通知。
The doc-coauthoring AI agent skill provides a structured workflow for collaborative document creation, benefiting developers and writers. It helps ensure efficient context transfer and refined content through a three-stage process.
The blog-writing-guide skill helps developers create high-quality technical blog posts for the Sentry engineering blog, following specific writing standards and voice. It assists in writing, reviewing, and improving content for a developer audience.
create-pr 是一个用于创建和编辑拉取请求的 AIエージェント 技术
The skill-creator AI agent skill redirects to the canonical sentry-skills:skill-writer workflow, enabling developers to create and update skills efficiently with AI coding.
The local-env AI agent skill simplifies local development environment tasks for daily-api, leveraging PostgreSQL, Fastify, and TypeORM. It benefits developers by automating tasks and enhancing productivity.
Use when asked to review a PR, or when /review is invoked with a PR number or URL. Performs a focused code review checking for bugs, security, performance, and test gaps, then posts findings as a PR comment and formal GitHub review.
modern typescript library for mtproto. supports browsers, node/bun, deno and more!
This is the public release of MIRA OS. Discrete memories decay through momentum loss, tools auto-configure when dropped into tools/ folder, and the system prompt composes from modular trinkets. I would like to think I've made an elegant brain-in-box. You load it and send cURL requests - it talks back, learns, and uses tools. Contributions welcome.
analyze-oops 是一种用于分析 PearPC 内核 Oops 的 AI 代码助手技能