← 开源
infragate

capa

One capabilities.yaml wires skills, tools, rules, sub-agents, MCP servers, and plugins into Cursor, Claude Code, Codex, Windsurf, GitHub Copilot, and 30+ other AI coding agents

AI EngineeringGive agent toolsTypeScript
在 GitHub 打开
增长势头
+024 小时新增 Star0.0%
724
Star
97
Fork
+0
本周
8
贡献者
创建于 2026-02-08 · 更新于 2026-10-12 · 今日第 14521 名
主要开发者
MinitourYossifNassartoransahu

infragate/capa 排名第 14,521,有 724 个星标。

同类别比较

infragate/capa 排名第 14,521,此处有 8 个同类条目;answeryt/Fat-Cat 排名第 14,518。

同类别比较
名称排名指标
jason-effi-lab/karpathy-llm-wiki-vault14,509
星标数:
725
分叉数:
225
简介:
基于 Karpathy LLM Wiki 理念构建的 SKILL 和 Obsidian 知识库,将碎片信息整理为结构化、互联的知识网络。
laravel/pao14,510
语言:
PHP
星标数:
725
分叉数:
38
简介:
PAO is agent-optimized output for PHP testing tools.
Snowflake-Labs/cocoplus14,514
语言:
JavaScript
星标数:
724
分叉数:
86
answeryt/Fat-Cat14,518
语言:
Python
星标数:
724
分叉数:
36
简介:
Fat-Cat: A document-centric context management Agent. Making context as simple as reading chat history.
0xnyn/airship14,526
语言:
TypeScript
星标数:
723
分叉数:
81
简介:
Figma like visual editor built for Claude Code, Codex and OpenCode
hamelsmu/claude-review-loop14,535
语言:
Shell
星标数:
723
分叉数:
50
简介:
Claude Code plugin: automated code review loop with Codex
magicrew/doc714,536
语言:
Go
星标数:
723
分叉数:
38
简介:
Turn documents into AI-ready Markdown with visual understanding
afshinm/zerobox14,555
语言:
Rust
星标数:
721
分叉数:
44
简介:
Lightweight, cross-platform process sandboxing powered by OpenAI Codex's runtime. Sandbox any command with file, network, and credential controls.
关键参数与规格
关键参数与规格
参数值
语言TypeScript
类别AI Engineering
子类别Give agent tools
关键词Client integration, MCP, Skills, Tool use
星标数724
分叉数97
贡献者8
创建日期2026-02-08
更新日期2026-10-12
1 天星标数0
7 天星标数0
排名14,521
上次排名14,367
排名变化-154
7 天星标排名14,519
上次 7 天星标排名14,533
7 天星标排名变化14
总星标排名14,481
上次总星标排名14,457
总星标排名变化-24
README 摘录

The package manager and MCP gateway for AI coding agents Why · Features · Install · Quick start · Wrap · Web UI · Docs Declare skills, tools, rules, sub-agents, MCP servers, hooks, and plugins once in . At runtime it is also the **MCP gateway**: every agent talks to one local endpoint; CAPA proxies upstream servers, lazy-loads tools, and scopes what each sub-agent can call. Agent config today is scattered across , , , MCP JSON, hooks, and skill folders. Cloning the repo does not clone

the agent setup. Initialize Creates and registers the project with the local CAPA server (default ). Install Resolves SHAs, fills the cache, writes per-provider files, and registers one MCP endpoint with each configured agent. NOTE] Non-interactive shells (CI, scripts) must pass . The first install prints the executable surface (MCP stdio servers, hooks, command tools, plugins) and asks for confirmation; unchanged surfaces skip the prompt on re-run. TIP] Already have skills, MCP configs, and rules in the repo? Run

tools from the terminal Every tool you define is also a CLI command under . Open the Web UI Edit skills, tools, rules, hooks, plugins, and agents in the browser. Run an agent **without polluting your repo** with , , and friends. CAPA builds a shadow workspace under , symlinks your project (minus provider-owned paths), installs capabilities into the shadow, and launches the agent. **Wrappable today:** Claude Code, Codex, Cursor, Gemini CLI, OpenCode, iFlow CLI, Kiro CLI, Qwen Code, Kimi CLI. NOTE] On

Windows, creating the shadow workspace may require Developer Mode (or an elevated shell) for symlinks. Plugins & registries Plugins are not opaque blobs. CAPA clones the repo, reads Claude ( ) or Cursor ( ) manifests, and merges skills, MCP servers, rules, sub-agents, and hooks into the same install pipeline as everything else. IMPORTANT] Most registry adapters are executable TypeScript fetched into . Review the source before enabling a third-party registry. Passthrough mode Need a one-off native write without CAPA managing the file

? Passthrough skips , the lockfile, and managed-file tracking. Tool aliases, defaults, and formatters still require managed mode ( is refused). How it fits together CLI cheat sheet Documentation Guides, the full schema reference, and the registry catalog: ** Maintainer-oriented internals (install pipeline, provider matrix, lockfile semantics) live in .

常见问题

记录了多少星标和分叉?

infragate/capa 有 724 个星标和 97 个分叉。

仓库排名是多少?

infragate/capa 排名第 14,521。

记录的语言和类别是什么?

infragate/capa 有 724 个星标,语言为 TypeScript,类别为 AI Engineering。

哪个仓库排名最接近?

infragate/capa 与 answeryt/Fat-Cat 比较,后者排名第 14,518,有 724 个星标。

README

The package manager and MCP gateway for AI coding agents

Why · Features · Install · Quick start · Wrap · Web UI · Docs

Declare skills, tools, rules, sub-agents, MCP servers, hooks, and plugins once in capabilities.yaml. Run capa install. CAPA writes them into Cursor, Claude Code, Codex, Windsurf, GitHub Copilot, and 35+ other agents — native formats, pinned SHAs, zero manual sync. At runtime it is also the MCP gateway: every agent talks to one local endpoint; CAPA proxies upstream servers, lazy-loads tools, and scopes what each sub-agent can call.

https://github.com/user-attachments/assets/200a8cf9-7236-4cc0-a9e4-332bb6664b41

Why CAPA?

Agent config today is scattered across CLAUDE.md, .cursor/rules/, AGENTS.md, MCP JSON, hooks, and skill folders. No two teammates match. Nothing is pinned. Cloning the repo does not clone the agent setup.

CAPA collapses that into one version-controlled file next to your code — and a local MCP gateway in front of every tool:

  • capabilities.yaml — source of truth for every capability
  • capabilities.lock — SHA pins so tomorrow's clone gets the same bytes
  • Marker blocks — surgical writes that leave hand-edited content alone
  • MCP gateway — one endpoint per project; CAPA proxies stdio / HTTP / SSE servers, applies formatters, and records activity

The teammate who clones tomorrow gets the exact setup you have today.

Features

  • One file → 35+ agents — write once; CAPA fans out to each provider's native layout (.cursor/rules/, .claude/agents/, AGENTS.md, …)
  • MCP gateway — one local endpoint per agent; CAPA proxies upstream MCP servers, lazy-loads tools on demand, and filters tools per sub-agent
  • Cheaper inference, same quality — on-demand tool loading instead of front-loading the whole catalog (19–40% fewer tokens across 150 trials on claude-opus-4-8)
  • capa wrap — run Cursor, Claude, Codex, and more from a shadow workspace so provider dirs never touch your real repo
  • Local Web UI — interactive capabilities editor with live YAML sync, registry browse, OAuth setup, and drag-to-reorder
  • Activity traces — live feed of every MCP call, shell tool, and agent span on the project page
  • Plugins that unpack — Claude and Cursor plugins decompose into skills, MCP, rules, sub-agents, and hooks
  • Registries — browse skills.sh, Cursor Marketplace, Claude plugins, and Claude marketplace catalogs
  • capa add --passthrough — write provider-native files directly when you want unmanaged one-offs
  • Sub-agent isolation — each sub-agent gets a filtered MCP endpoint, so research agents never inherit a git push tool

Installation

macOS and Linux:

curl -LsSf https://capa.sh/install.sh | sh

Windows:

powershell -ExecutionPolicy ByPass -c "irm https://capa.sh/install.ps1 | iex"

Quick start

1. Initialize

cd your-project
capa init

Creates capabilities.yaml and registers the project with the local CAPA server (default http://localhost:5912).

2. Add capabilities

capa add vercel-labs/agent-skills@web-researcher
capa add --server --id brave --cmd npx --arg @brave/brave-search-mcp
capa registry search skills-sh "research"

3. Install

capa install              # interactive: confirms executable surface, then installs
capa install --yes        # CI / scripts: skip confirmation
capa install --dry-run    # preview MCP servers, hooks, and commands without changes

Resolves SHAs, fills the cache, writes per-provider files, and registers one MCP endpoint with each configured agent. Resolved SHAs land in capabilities.lock.

[!NOTE] Non-interactive shells (CI, scripts) must pass --yes. The first install prints the executable surface (MCP stdio servers, hooks, command tools, plugins) and asks for confirmation; unchanged surfaces skip the prompt on re-run.

[!TIP] Already have skills, MCP configs, and rules in the repo? After capa init, use the bundled /bootstrap skill — the agent scans the project and drafts the CAPA config for you.

4. Run tools from the terminal

capa sh                                  # list every configured tool
capa sh brave                            # list brave subcommands
capa sh brave search --query "…"         # run a tool directly
capa sh --raw brave search --query "…"   # skip per-tool formatters

Every tool you define is also a CLI command under capa sh.

5. Open the Web UI

capa open             # open this folder's project in the browser
capa open ../other    # or any other project folder
capa status           # prints the local URL when the server is up

Edit skills, tools, rules, hooks, plugins, and agents in the browser. Changes sync live back to capabilities.yaml.

capa wrap

Run an agent without polluting your repo with .cursor/, .claude/, and friends. CAPA builds a shadow workspace under ~/.capa/workspaces/, symlinks your project (minus provider-owned paths), installs capabilities into the shadow, and launches the agent.

capa wrap cursor          # Cursor GUI — stops when the window closes
capa wrap claude          # Claude Code (aliases: claude-code)
capa wrap agent           # Cursor CLI
capa wrap codex
capa wrap gemini-cli
capa wrap opencode

capa wrap cursor --print-dir   # print shadow path, then launch
capa wrap --prune              # clean stale workspaces
capa stop                      # stop server + active wrap sessions

Wrappable today: Claude Code, Codex, Cursor, Gemini CLI, OpenCode, iFlow CLI, Kiro CLI, Qwen Code, Kimi CLI.

[!NOTE] On Windows, creating the shadow workspace may require Developer Mode (or an elevated shell) for symlinks. GitHub Copilot is not wrappable yet — it owns shared .github/ / .vscode/ trees that need subpath exclusions.

Web UI & observability

The embedded React UI (served by the local server) covers the full project lifecycle:

Area What you get
Capabilities editor Skills, tools, rules, hooks, sub-agents, plugins, agents — CRUD, local file pickers, drag reorder
Registries Search seeded catalogs (skills.sh, Cursor Marketplace, Claude plugins) and add your own
Activity Live tool-call feed, charts, and run timelines (default-on via options.agentActivity)
Variables / OAuth Credential setup when install needs secrets

Activity is powered by system hooks and the MCP proxy tracer — MCP failures show as error rows, shell tools from capa sh are labeled correctly, and secrets in args/results are redacted.

Plugins & registries

Plugins are not opaque blobs. CAPA clones the repo, reads Claude (.claude-plugin/) or Cursor (.cursor-plugin/) manifests, and merges skills, MCP servers, rules, sub-agents, and hooks into the same install pipeline as everything else.

capa add owner/repo --plugin --install
capa add cursor-marketplace:some-plugin --plugin

capa registry list
capa registry add anthropics/claude-plugins-official --type claude-marketplace
capa registry search skills-sh "typescript"

[!IMPORTANT] Most registry adapters are executable TypeScript fetched into ~/.capa/registries-managed/. Review the source before enabling a third-party registry. Claude marketplaces are JSON catalogs only — safer by design.

Passthrough mode

Need a one-off native write without CAPA managing the file?

capa add owner/repo@skill --passthrough --provider cursor
capa add --rule --id ts-strict --inline "Always use strict TypeScript" --passthrough
capa install --passthrough

Passthrough skips capabilities.yaml, the lockfile, and managed-file tracking. Tool aliases, defaults, and formatters still require managed mode (capa add --tool … --passthrough is refused).

How it fits together

capabilities.yaml  ──►  capa install  ──►  provider files (.cursor/, .claude/, AGENTS.md, …)
        │                      │
        │                      ├── capabilities.lock
        │                      ├── ~/.capa/cache/          (content-addressed snapshots)
        │                      └── ~/.capa/db.sqlite       (projects, variables, activity)
        │
        └──► Web UI editor ◄──► file watcher ◄──► disk

Agent ──MCP──► capa gateway (:5912)  ──proxy──► upstream MCP (stdio / HTTP / SSE)
                     │
                     ├── on-demand tools (setup_tools / call_tool)
                     ├── per-sub-agent filtered endpoints
                     └── ToolCallTracer → activity feed

CLI cheat sheet

capa init                              # create capabilities.yaml + register project
capa add  [--plugin] [--install]
capa add --server|--tool|--rule|--hook …
capa install [-p ] [-e .env] [--no-cache] [--yes] [--dry-run]
capa wrap  [--project ]
capa sh [tool] [args…] [--raw]
capa registry search|add|list|refresh|remove …
capa start|stop|restart|status
capa clean                             # remove managed artifacts
capa auth github|gitlab
capa cache | capa cache clean
capa upgrade [--yes]                   # pin GitHub release + verify installer checksum

Documentation

Guides, the full schema reference, and the registry catalog:

https://capa.sh

Maintainer-oriented internals (install pipeline, provider matrix, lockfile semantics) live in docs/.

排名相邻
同类项目