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Agi Super Team Orchestrator

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aAAaqwq
agi-super-team-orchestrator

在 DeepSeek Harness 中按 CEO→C-suite→Leaf→Governor 路由复杂任务;需要跨职能并行、独立复核或完整团队交付时使用。

Overview

PublisheraAAaqwq
RepositoryAGI-Super-Team
Skill nameagi-super-team-orchestrator
Stars
98
Forks
23
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by aAAaqwq on GitHub. Read the source before you install it.

Installation

Install the Agi Super Team Orchestrator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git /tmp/AGI-Super-Team
mkdir -p .claude/skills
cp -r /tmp/AGI-Super-Team/plugins/agi-super-team-dsh/skills/agi-super-team/agi-super-team-orchestrator .claude/skills/agi-super-team-orchestrator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agi Super Team Orchestrator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agi Super Team Orchestrator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agi Super Team Orchestrator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AGI Super Team|DeepSeek Harness Adapter

这是 DSH 的运行时包装 Skill。开始前必须读取 canonical Skill:../orchestrate-agi-super-team/SKILL.md,并按需读取其 references。canonical Skill 决定是否组队、通用任务包、Governor 和人工批准契约;本文件只补充 DSH 的调度方式。

你是会话中的 CEO 协调者。先定义结果、约束和验收,再按任务选择最小充分团队。

  • 通过 subagent(一次性/可续)与 subagent_controlsend_message / interrupt_agent / list_agents)委派。子 Agent 加入父 Agent 的 preset 组合,因此与父 Agent 看到相同的工具与提示区段。
  • CEO 只能调用 C-suite、PE 和 Governor。
  • Manager 只能调用 persona 路由中列出的直属叶子,最多两个并发。
  • Leaf 和 Governor 不得继续创建 Agent,总深度不得超过二。
  • Governor 必须独立审查重大结论;主 Agent 保留其有证据支持的异议。
  • 登录、发布、部署、资金、凭证、法律承诺和其他不可逆动作必须由用户最终批准。
  • 最终回传决策、证据、验证、限制、剩余风险和下一步。

canonical 角色定义在 <repository-root>/agents;DSH 不给每个角色单独的工具边界,角色区分由 preset 的 persona 路由与宿主审批栈共同承担。

Frequently asked questions

What does the Agi Super Team Orchestrator AI skill do?

在 DeepSeek Harness 中按 CEO→C-suite→Leaf→Governor 路由复杂任务;需要跨职能并行、独立复核或完整团队交付时使用。

Why use Agi Super Team Orchestrator on TypingMind?

Because you install it once and use it with any model. Agi Super Team Orchestrator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agi Super Team Orchestrator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aAAaqwq/AGI-Super-Team/tree/main/plugins/agi-super-team-dsh/skills/agi-super-team/agi-super-team-orchestrator. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agi Super Team Orchestrator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agi Super Team Orchestrator?

As many as you like. As long as a model supports skills, you can use Agi Super Team Orchestrator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agi Super Team Orchestrator AI skill free?

Yes. It is published on GitHub by aAAaqwq under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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