Skills Over
БесплатноНе проверенEnables multi-step, opinionated workflows (skills) as MCP resources with lazy loading, encoding team knowledge like branch naming and test procedures alongside
Описание
Enables multi-step, opinionated workflows (skills) as MCP resources with lazy loading, encoding team knowledge like branch naming and test procedures alongside tool execution.
README
Skills over MCP: agent workflows as standard MCP resources with a skill:// URI scheme.
npm install
Quick start
# Start the MCP server (port 3001) and web UI (port 3000)
npm run server &
npm run web
Open http://localhost:3000, type what you need ("deploy to production", "review this PR"), and the LLM routes you to the right skill. Steps walk you through the workflow with live tool execution.
How it works

skill://index.json returns the discovery index. skill://git-workflow/SKILL.md returns the full skill. Skills reference tools by name; the UI renders inline tool panels.
Why skills, not just tools?
Discovery model. tools/list returns full schemas for every tool, all loaded into the LLM context at once. There is no tools/read. Resources have a two-step fetch: resources/list returns lightweight metadata, then resources/read loads one resource on demand. Skills use this to get lazy loading without new protocol primitives.
tools/list → [full schema A, full schema B, ...] // all in context
resources/list → [name A, name B, ...] // just the index
resources/read → full content of A // one at a time
But wouldn't tool search or progressive tool loading solve this? It would fix the discovery problem (finding the right tool from hundreds). But skills solve a different problem: process knowledge.
A tool says create_branch(branch_name: string). A skill says:
- Name it
<type>/<ticket>-<slug>, not whatever you want - Always branch from
mainunless the ticket says otherwise - Run
run_testsbefore pushing - If integration tests fail but your change is frontend-only, that's acceptable
- Open a PR using this specific template
That's team knowledge that doesn't fit in a tool schema. Even with perfect tool discovery, the agent still needs to know how your team uses those tools together. Skills encode that multi-step, conditional, opinionated workflow. Tools are the verbs; skills are the playbook.
Skills included
skills/
├── git-workflow/SKILL.md # Branching, commits, PRs
├── code-review/SKILL.md # Structured review + security checklist
│ └── references/security-checklist.md
└── deploy-service/SKILL.md # Pre-flight → staging → canary → monitoring
Deploy
npm run deploy
Deploys to Cloudflare Workers as a self-contained worker with embedded skill content. Live at https://skills-over-mcp.h3manth.com.
Architecture
- MCP Server (
src/server.ts): Streamable HTTP transport, servesskill://resources and tools - Web Bridge (
src/web.ts): HTTP bridge connecting the browser to the MCP server - Worker (
src/worker.ts): Cloudflare Worker bundling everything for edge deployment - UI (
public/index.html): Intent-based runner, AI-powered skill routing via Cloudflare Workers AI
Timeline
- 2025-12-20 Skills and MCP, Better Together blog post
- 2025-12-22 RFC: Remote Agent Skills, URL-based Skill Import
- 2026-02-01 MCP Interest Group formed; experimental repo created
- 2026-04-14 Initial charter formalized by MCP (via SEP-2149)
Related
- Skills Over MCP Spec, SEP-2640
- experimental-ext-skills, the Interest Group repo
- MCP SDK, protocol implementation
License
MIT © Hemanth.HM
Установка Skills Over
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/hemanth/skills-over-mcpFAQ
Skills Over MCP бесплатный?
Да, Skills Over MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Skills Over?
Нет, Skills Over работает без API-ключей и переменных окружения.
Skills Over — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Skills Over в Claude Desktop, Claude Code или Cursor?
Открой Skills Over на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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