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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.
Crawl websites with JS rendering and extract structured data for content collection and analysis.
Search the live web and codebase in real time for company research and information retrieval.
Connect to and manage Supabase projects, perform table operations, and analyze queries.
Connect to PostgreSQL to inspect schemas and read or write business data.
Connect to Stripe APIs to handle payments, orders, and finance-related operations.
Connect to SQLite databases, inspect table schemas, and safely read or write data.
Summarize CodexBar local cost logs by model for Codex or Claude.
Search and analyze GitHub archive issues, PRs, and repo workflow status.
Search places, fetch details, reviews, and structured JSON from Google Places.
Transcribe audio into text or speaker-separated transcripts with OpenAI APIs.
Search, export, sync, and analyze archived Notion content and related repo data.
Generate spectrograms and feature-panel visuals from audio for analysis and presentation.
Search and analyze Slack archives, count threads, and support repo workflows.
Search and manage Granola archives, sync status, notes, transcripts, and counts.
Search the web, extract content, and organize research efficiently.
Build an automated agent to collect, enrich, and store public data.
Apply PyTorch best practices for robust, efficient, reproducible deep learning pipelines.
Investigate quality nonconformances, find root causes, and drive CAPA improvements.
Audit ECC Tools cost anomalies and trace misuse, leakage, and duplicate jobs.
Post, search, read timelines, and analyze data via the X API.
Accelerate large-scale data pipelines, backfills, and syncs without sacrificing correctness.
Get database migration best practices for safe schema changes and zero-downtime releases.
Build practical monitoring dashboards that answer real operator questions.
Audit, plan, and implement SEO improvements for better search visibility.
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。