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60320 Skills & MCP tools — copy a prompt, zero pre-install, into Claude Code / Codex / Cursor.
🎓 Skill = teach the AI how to do a task, copy & use; 🔌 MCP = connect the AI to an external tool/data source, usually needs a key.
Let AI read, search, and manage local Git repositories and commit history.
Manage repositories, issues, pull requests, and Actions to automate GitHub workflows.
Connect to and manage Supabase projects, perform table operations, and analyze queries.
Connect to PostgreSQL to inspect schemas and read or write business data.
Automatically add redacted agent transcripts to GitHub PRs or issues.
Choose and run the safest, cheapest OpenClaw test and validation path.
Control tmux sessions and panes to automate interactive terminal workflows.
Handle ClawSweeper reports, fixes, merges, permissions, and GitHub workflow monitoring.
Run, debug, monitor, and summarize OpenClaw release CI workflows.
Set up and use 1Password CLI for sign-in and secret injection.
Helps maintainers triage, clean up, and resolve OpenClaw secret scanning alerts.
Create OpenClaw Docker end-to-end tests and live provider lanes.
Manage, authenticate, call, and inspect MCP servers and tools over HTTP or stdio.
Discover and control Sonos speakers for playback, volume, status, and grouping.
Run or recover OpenClaw macOS signing, notarization, and release promotion.
Run, debug, rerun, and interpret OpenClaw Parallels install and smoke checks.
Draft OpenClaw release announcements and testing guidance from release evidence.
Inspect, patch, validate, and publish OpenClaw GHSA advisories securely.
Control BluOS device discovery, playback, grouping, and volume from the command line.
Manage issues, PRs, logs, releases, and repos with GitHub CLI.
Diagnose OpenClaw node pairing, auth, routing, and connection issues.
Investigate test memory growth, heap leaks, and OOM root causes.
Triage security advisories, drafts, and GHSA reports with trusted evidence.
Control Philips Hue lights and scenes from the command line for automation.
从访谈内容留存、转写回看，到主题归纳与产品建议，一套串起用户研究整理流程。
从流量采集、营销归因到数仓查询与看板输出，一套串起自动取数和分析闭环。
从读取设计稿、提取上下文到映射组件库与同步评审，这套组合很适合设计到前端落地的协作链路。
In-depth guides on Skill / MCP setup and security — beyond the directory listings
普通聊天 AI 很难真正读懂大型仓库，因为它缺少结构、上下文和可验证的检索路径。本文从 0 到 1 搭一个只面向本地代码库的 Cursor 助手：能查结构、追调用链、看 diff、给重构建议，还能尽量压住幻觉。
Agent-hop 是一个基于 Rust 的 TUI，支持在进行中的 Claude Code 聊天里切换到其他编程代理，尽量不丢失上下文。项目作者提到，它最早源自一个简历与搜索工具，后来因为使用过程中的阻碍，单独做成了现在的界面。
Harden.run 表示，针对能够生成任意代码的 Coding Agent，单靠传统红队测试并不够。他们通过后训练网络安全小模型、调整推理方式，并结合 inline reference monitoring 等程序分析手段，在 LinuxArena 和 SleightBench 上取得了超过 GPT5.5-xhigh 的成绩。