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Agenticx Enterprise Agent Builder

Community
DemonDamon
agenticx-enterprise-agent-builder

Draft or modify an ENTERPRISE managed agent (企业智能体) from a natural-language request, preview the version diff, and submit it as a draft for admin review. Use when the user wants to build, change, or migrate an agent for their company's managed agent platform. Not for local desktop avatars (use agenticx-agent-builder for 本机分身).

Overview

PublisherDemonDamon
RepositoryAgenticX
Skill nameagenticx-enterprise-agent-builder
Stars
796
Forks
92
Bundled files
Instructions only
LicenseApache-2.0
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 DemonDamon on GitHub. Read the source before you install it.

Installation

Install the Agenticx Enterprise Agent Builder 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.
    https://github.com/DemonDamon/AgenticX/tree/main/agenticx/skills/agenticx-enterprise-agent-builder
  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/DemonDamon/AgenticX.git /tmp/AgenticX
mkdir -p .claude/skills
cp -r /tmp/AgenticX/agenticx/skills/agenticx-enterprise-agent-builder .claude/skills/agenticx-enterprise-agent-builder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agenticx Enterprise Agent Builder 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 Agenticx Enterprise Agent Builder 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 Agenticx Enterprise Agent Builder 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.

企业智能体构建(草稿)

帮助员工用自然语言起草企业智能体配置(agx.agent/v1),在对话里展示与企业侧最新版本的差异,确认后提交为草稿。发布永远由管理员在管理台完成。

硬性规则

  1. 只用 enterprise_agent_builder 工具读写企业侧;看不到该工具时先调用 tool_search 搜索 enterprise_agent_builder。
  2. 永远不要说「已发布」「已上线」「同事已经可以用了」。提交成功只代表草稿或候选版本已保存。
  3. 提交前必须先 preview,把「变更摘要」和 diff 代码块原样展示给用户,并得到用户明确同意后再 submit。
  4. 不要把任何密钥、Token、密码、Cookie 写进配置或系统提示;需要访问外部系统时告诉用户「凭证由管理员在凭证库中配置」。
  5. 只能修改用户自己通过 Near 提交的企业智能体;list 里没有的不要尝试修改。
  6. 用户只是想要一个本机分身时,改用 agenticx-agent-builder 技能。

流程

  1. 澄清(最多两轮,优先给选项):负责什么、给谁用、需要哪些能力(读写文件、执行命令、联网检索、读取文档)、哪些操作需要人工确认。
  2. 修改已有智能体时:先 list,再 get 取最新版本,在原配置上只改用户要求的部分,其余字段(含数组里未提到的项)原样保留。
  3. 起草 Manifest(见下方字段说明),调用 preview。
  4. 展示:照抄工具返回的「预检结果 / 变更摘要 / 差异」。有「需要修正」时先修正再 preview。
  5. 确认后提交:submit(新建时提供 display_name,可选 description 与 note)。把返回文本转述给用户,并提示「请联系管理员在管理台发布」。

Manifest 字段(agx.agent/v1)

json
{
  "schema": "agx.agent/v1",
  "model": "<providerId>/<modelName>",
  "system": "系统提示",
  "tools": [
    {"type": "agx_builtin", "default_policy": "always_allow",
     "configs": [{"name": "bash_exec", "policy": "always_ask"}]}
  ],
  "mcp_servers": [],
  "skills": [],
  "multiagent": null,
  "runtime": {"max_tool_rounds": 40, "max_session_tokens": null},
  "metadata": {"welcome_message": "", "suggested_questions": []}
}
  • model:沿用基线版本的模型;新建时询问用户或保留企业常用模型名,格式必须是 供应商/模型。
  • 内置工具只能从以下 14 个中选:bash_exec、file_read、file_write、file_edit、list_files、code_outline、web_fetch、web_search、get_current_datetime、todo_write、scratchpad_read、scratchpad_write、liteparse、tool_result_recall。未列出的工具会被拒绝。停用某个工具写 {"name": "...", "enabled": false}。
  • 权限只有两档:always_allow(自动执行)与 always_ask(每次需要人工确认)。会写文件、执行命令、访问外网的工具建议 always_ask;无人值守的定时任务不要依赖 always_ask。
  • mcp_servers 只写 name、url、transport(http 或 sse),不能写 headers 或 env。
  • skills 只能引用企业技能库中已上架的技能({"source": "tenant", "id": "...", "version": null});不确定时留空并提示用户联系管理员。
  • multiagent 保持 null(多智能体协作由管理员配置)。

常见回复

  • 未登录企业:请用户在「设置 → 企业」中登录。
  • 提交返回 409「已被管理员回收」:说明该智能体已停用,建议新建。
  • 「内容与最新版本相同」:说明没有产生新版本,无需再次提交。

Frequently asked questions

What does the Agenticx Enterprise Agent Builder AI skill do?

Draft or modify an ENTERPRISE managed agent (企业智能体) from a natural-language request, preview the version diff, and submit it as a draft for admin review. Use when the user wants to build, change, or migrate an agent for their company's managed agent platform. Not for local desktop avatars (use agenticx-agent-builder for 本机分身).

Why use Agenticx Enterprise Agent Builder on TypingMind?

Because you install it once and use it with any model. Agenticx Enterprise Agent Builder 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 Agenticx Enterprise Agent Builder in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/DemonDamon/AgenticX/tree/main/agenticx/skills/agenticx-enterprise-agent-builder. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agenticx Enterprise Agent Builder?

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 Agenticx Enterprise Agent Builder?

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

Is the Agenticx Enterprise Agent Builder AI skill free?

Yes. It is published on GitHub by DemonDamon under the Apache-2.0 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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