MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
统一智能体协议适配层。一套 API 调用所有 Agent 协议（ANP/MCP/A2A/AITP 等）。当用户需要调用 Agent、跨协议通信、连接工具时触发此技能。
No licenceAuto-check passed
Install Uni Agent
$ npx skills add zrt-ai-lab/opencode-skills --skill uni-agent -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zrt-ai-lab/opencode-skills uni-agent --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/uni-agent .claude/skills/uni-agent && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "uni-agent" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/uni-agent into .claude/skills/uni-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uni-agent", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/zrt-ai-lab/opencode-skills/tree/main/uni-agentType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add zrt-ai-lab/opencode-skills --skill uni-agent -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zrt-ai-lab/opencode-skills uni-agent --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/uni-agent .agents/skills/uni-agent && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "uni-agent" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/uni-agent into .agents/skills/uni-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uni-agent", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zrt-ai-lab/opencode-skills --skill uni-agent -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zrt-ai-lab/opencode-skills uni-agent --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/uni-agent .cursor/skills/uni-agent && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "uni-agent" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/uni-agent into .cursor/skills/uni-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uni-agent", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/zrt-ai-lab/opencode-skills.git --path uni-agent--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add zrt-ai-lab/opencode-skills --skill uni-agent -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zrt-ai-lab/opencode-skills uni-agent --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/uni-agent .gemini/skills/uni-agent && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "uni-agent" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/uni-agent into .gemini/skills/uni-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uni-agent", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install zrt-ai-lab/opencode-skills uni-agentInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add zrt-ai-lab/opencode-skills --skill uni-agent -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/uni-agent .github/skills/uni-agent && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "uni-agent" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/uni-agent into .github/skills/uni-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uni-agent", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zrt-ai-lab/opencode-skills --skill uni-agent -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zrt-ai-lab/opencode-skills uni-agent --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/uni-agent .opencode/skills/uni-agent && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "uni-agent" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/uni-agent into .opencode/skills/uni-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uni-agent", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
uni-agent- GitHub stars
- 287
- Token cost
- ~1.5k tokens
- SKILL.md length
- 104 words
- Files
- 21 (incl. scripts)
- Skills in repo
- 26
- Repo updated
- First seen
- Licence
- None found
At a glance
统一智能体协议适配层。一套 API 调用所有 Agent 协议（ANP/MCP/A2A/AITP 等）。当用户需要调用 Agent、跨协议通信、连接工具时触发此技能。
- Works in 4 steps: Agent ID 格式 → 统一调用接口 → 能力发现 → …
- SKILL.md covers 设计理念, 架构设计, 核心概念 and 支持的协议, plus 5 more sections
- Runs Python and Shell scripts from its folder; calls python and pip; reaches agent-connect.ai; needs GITHUB_TOKEN and A2A_CLIENT_SECRET
What it does
Uni Agent is an agent skill from zrt-ai-lab/opencode-skills. 统一智能体协议适配层。一套 API 调用所有 Agent 协议（ANP/MCP/A2A/AITP 等）。当用户需要调用 Agent、跨协议通信、连接工具时触发此技能。
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 24 other files, including scripts (for example `README.md`, `adapters/__init__.py` and `adapters/a2a.py`).
It works with Model Context Protocol. The repository describes itself as: OpenCode/Claude Code 技能库 。特色技能：视频生成、图片生成、AI Agent 互联、智能问数等等各场景，持续开发更新中.
Example prompts
- “/uni-agent”
Requirements
- Python 3
- Node.js
- A Bash shell
- A credential in GITHUB_TOKEN
- A credential in A2A_CLIENT_SECRET
Workflow steps
4 steps, taken from the step headings in SKILL.md.
- Agent ID 格式
- 统一调用接口
- 能力发现
- 协议适配器接口
What it can do on your machine
Read from SKILL.md and the folder at commit d38536f. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (Python and Shell, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
pythonpip
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
agent-connect.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
GITHUB_TOKENA2A_CLIENT_SECRET
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Uni Agent loads about 1.5k tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 104 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 104 words (~1,539 tokens).
- name
- uni-agent
Files
SKILL.md and 20 other files (scripts) in uni-agent of zrt-ai-lab/opencode-skills.
- SKILL.md
- README.md
- adapters/__init__.py
- adapters/a2a.py
- adapters/agent_protocol.py
- adapters/aitp.py
- adapters/anp.py
- adapters/base.py
- adapters/lmos.py
- adapters/mcp.py
- config/agents.yaml
- requirements.txt
- scripts/test_adapters.py
- scripts/test_all.py
- scripts/uni_cli.py
- setup.sh
- test_servers/a2a_server.py
- … and 4 more
Open the folder on GitHubat commit d38536f
Compare with similar skills
Uni Agent next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Uni Agent this skillzrt-ai-lab/opencode-skills | 287 | — | ~1.5k | Automated safety check: Pass | None | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Figma use_figma Plugin API Ruleswarpdotdev/warp | 65k | 4 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 | |
| Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills | 8.4k | 6 repos | ~3.2k | Automated safety check: Notes | Apache-2.0 |
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视频创作技能。图片+音频合成视频，支持TTS配音、淡入淡出转场、字幕、片尾、BGM。当用户提到「生成视频」「做视频」「教学视频」「图文转视频」「做视频号」「配音视频」「图文结合视频」「古诗视频」「故事视频」时触发。内含生图→配音→合成全流程，无需单独调用image-service。
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Works with
Questions about Uni Agent
What does Uni Agent do?
统一智能体协议适配层。一套 API 调用所有 Agent 协议（ANP/MCP/A2A/AITP 等）。当用户需要调用 Agent、跨协议通信、连接工具时触发此技能。. Uni Agent is an agent skill from zrt-ai-lab/opencode-skills.
How do I install Uni Agent in Claude Code?
Run `npx skills add zrt-ai-lab/opencode-skills --skill uni-agent -a claude-code`. Or copy the skill folder (uni-agent in zrt-ai-lab/opencode-skills) into .claude/skills/uni-agent in your project. Claude Code loads it when a task matches its description.
How do I install Uni Agent in Codex?
Run `npx skills add zrt-ai-lab/opencode-skills --skill uni-agent -a codex`. Or copy the skill folder (uni-agent in zrt-ai-lab/opencode-skills) into .agents/skills/uni-agent in your project. Codex loads it when a task matches its description.
Can I use Uni Agent in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zrt-ai-lab/opencode-skills --skill uni-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/uni-agent, .gemini/skills/uni-agent, .github/skills/uni-agent and .opencode/skills/uni-agent in your project.
What does Uni Agent need to run?
Going by SKILL.md and its folder, Uni Agent needs Python and a shell for the scripts in its folder, the command-line tools its instructions call (python and pip) and credentials named GITHUB_TOKEN and A2A_CLIENT_SECRET. Our summary lists: Python 3; Node.js; A Bash shell; A credential in GITHUB_TOKEN; A credential in A2A_CLIENT_SECRET.
Does Uni Agent access the network?
SKILL.md names 1 domain. In commands or code: agent-connect.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Uni Agent safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Uni Agent use?
No licence was found for Uni Agent or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Uni Agent use?
About 1.5k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Uni Agent?
Skills that share tags, products or a category with Uni Agent: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Uni Agent?
zrt-ai-lab (a GitHub user) maintains it in zrt-ai-lab/opencode-skills, which has 287 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on July 22, 2026.
Source: zrt-ai-lab/opencode-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.