Claude Desktop インストールガイド
ローカル MCP 設定に対応するデスクトップクライアント。
MCP Servers
Minimal example of MCP for parsing llms.txt
Open-source research engine that extracts structured knowledge from any topic. Feed it a question. Get back scored claims, entity graphs, and a synthesized report — not paragraphs of slop.
Autonomous AI agent orchestrator — run multi-model dev teams (Claude, Gemini, GPT) with YAML workflows, daemon scheduling, and MCP integration. 100% Rust.
MCP-сервер для токен-эффективного анализа кодовых баз 1С (BSL).
Web dashboard for Hermes Agent gateway — full config, MCP, cron, model management without CLI
MCP server for remediating hardcoded secrets using GitGuardian’s API. It detects over 600 secret types and prevents credential leaks before code is made public.
Convert Shiny Apps to MCP Apps
MCP server for Apache Iceberg
Order groceries from yerevan-city.am right from a conversation with your AI assistant
Inline review comments for markdown specs. Built-in MCP server hands feedback directly to your AI agent.
Native macOS markdown preview + MCP server for Claude Code. Swift/SwiftUI, GFM, Mermaid, syntax highlighting. No Electron.
Python scraper to extract AI responses from Perplexity's web interface.
Agent Skills
本仓库是基于 WorkBuddy / Claude Code / Cursor 等 AI Agent 的**。每个 Skill 是一个自包含文件夹，包含 SKILL.md（Agent 执行指令）、README.md（人类文档）、references/（Prompt 参考）和 assets/（模板 HTML）。
这是 codex-windows-fast-patch skill 的公开版本，用于让支持 Agent Skills 的智能体修复 Windows 版 Codex Desktop 更新后常见的功能失效问题。
🌳 A type-safe HTML template engine for Python. Build dynamic web pages using Python components with a React-like approach.
A collection of AI agent skills useful for projects using the Kotlin language. Skills are following the Agent Skills standard, see agentskills.io for more information.
PPT Agent 基于软件工程理念的演示文稿全自动生成框架 English | 中文
a desktop app for getting work done with any model
Building a domain-specific enterprise agent from scratch is complex and requires significant effort: agent and tool orchestration, planning logic, safety and alignment policies, evaluation for...
— This project is in early development. APIs and skill content may change.
The trust layer for agent-to-agent commerce — natural-language mandates, ERC-7710 delegated permissions, x402 payments, escrow, and dispute resolution as one open, catch-all Agent Skill / Claude Code...
Add both Manim skills to your AI agent instantly:
Write a SKILL.md, drop in some evals, and find out — empirically — whether your skill actually makes the model better at the task.
“论文不是把字堆满，而是把项目事实、样文规范、图表截图和 Word 交付一次性闭环。”