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開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers

Keep Claude Code context clean. Open-source toolkit: drift detection, re-read dedup, integrity scoring, AST-aware reads, 15 MCP tools. 62.6% measured savings, reproducible.

ArcGIS Pro Bridge MCP Server 是一个给 ArcGIS Pro 用的本地 MCP Server。

OSINT knowledge base + MCP server for autonomous AI agents — Claude Code, Cursor, Kimi K3, recon & threat intel playbooks.

Local academic paper tool MCP server — , multi-source download, AI-powered analysis, citation graph, code-based paper recommendation.

Use any MCP server or HTTP API as a standard CLI command. A lightweight daemon + CLI that turns remote MCP tools and configured HTTP endpoints into native shell commands your agent or script can call...

Self-hosted audit trail for AI agents — one command or one dashboard click from any step back to root cause.

Stop rewriting your tools. Just adapt them.

Open plain-text file format for AI memory. Your assistant's long-term memory as .dai files on your disk: readable by Claude, GPT, Gemini, Cursor, local models and grep (all LLM models work).

Bring your AI to life—talk to assistants instantly in your browser. Compatible with Claude Desktop, OpenCode, and other MCP-enabled AI tools.

Drop a .pcap file, ask questions in plain English — get answers backed by real tshark data.

A live layered dependency map for bottom-up development — MCP server + terminal pane for Claude Code, Codex CLI and any MCP client.

AgentStack is a production-grade multi-agent framework built on Mastra, delivering 50+ enterprise tools, 25+ specialized agents, and A2A/MCP orchestration for scalable AI systems.
Agent Skills

BAGEL is a model-agnostic, modular, fully customizable Python framework for programmable protein design.

一个面向 Seedance 2.5 商业广告创作的导演型 Skill。它把产品 brief、参考图和传播目标转换为 15 秒、30 秒或自定义时长的 TVC 策略、导演执行单、分镜预览与可复制视频提示词,也能根据生成成片的时间码证据给出局部重试方案。

一个用于 的 Codex Skill。它通过 ADB 截图、UI 层级、系统运行时信息和结构化索引,把“人工逛 App”变成一套可追溯、可核验、可用于横向对比的证据材料。

本 skill 把叶子南《高级英汉翻译理论与实践》(第4版)的英译汉方法论,工程化为一条英译中流水线。核心信条如下:

Locate every paper in the literature, not just in a summary.

- using GLiNER-PII and LLM-based augmentation and validation - — LLM-generated substitute, redact, annotate, or hash (deterministic, local) - before full runs with display_record() visualization

A collection of Agent Skills that give a coding agent architectural skills to build scalable, maintainable Django projects with clean separation of concerns, testability, and a full suite of best...

OpenHarness — 24/7 Autonomous AI Framework For OpenClaw

This repository is the canonical source for a simple cloud factory: a set of agent skills and GitHub Actions workflows for moving work from an incoming issue to a verified change.

- — wrap third-party SDK clients (Stripe, Resend, AWS, etc.) with Effect using the "use" pattern: type-safe tagged errors, automatic tracing spans, config-based secrets, and clean dependency...

你可能需要花时间整理材料,把问题发给大模型,review大模型给的答案,再去尝试理解某些晦涩的概念,并判断大模型的回答是否足够可信。忙完以上的一切,还要忙着去除人机味

Physics-first Flutter animations with a composable, timeline-driven API for building polished transitions, expressive UI motion, and reusable animation systems without wiring imperative controllers...