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human-ai-system-builder人类 AI 系统构建者

Agent Skill

human-ai-system-builder 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

264

周安装

11

GitHub Stars

公开资料未说明

下载量

88
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:human-ai-system-builder(人类 AI 系统构建者)
来源仓库:https://github.com/metyatech/skill-human-ai-system-builder
仓库路径:skills/human-ai-system-builder
安装命令:
npx skills add https://github.com/metyatech/skill-human-ai-system-builder --skill human-ai-system-builder
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/metyatech/skill-human-ai-system-builder --skill human-ai-system-builder

简介

human-ai-system-builder 用于处理 GitHub 仓库、Issue 和 Pull Request 信息,适合项目状态整理。

  • 适用于 AI 系统开发和代码协作事项管理场景。
  • 通过 npx skills add 命令从指定仓库安装,需确认权限范围。
  • 使用前建议核实维护状态及是否涉及敏感数据操作。
  • 可结合原始 SKILL.md 了解具体交互方式和输出格式。

SKILL.md

Human/AI system builder

The agent MUST build a project-contract before implementation. Start from references/project-contract.md and assets/project-contract.template.yaml.

The agent MUST make every decision below explicit:

  • Actors.
  • Canonical store.
  • Human surface.
  • AI surface.
  • Sync direction and trigger.
  • Conflict detection and resolution.
  • Validation timing and location.
  • Generated artifacts.
  • Human startup flow.

The agent MUST use references/gui-selection.md to choose one of these patterns:

For core architecture choices, the agent MUST also use:

For document, form, spreadsheet, and layout-sensitive systems, the agent MUST also read references/domain-structured-docs.md.

Workflow

  1. Classify the domain and the primary constraints.
  2. Draft the project-contract.
  3. Choose the human GUI pattern.
  4. Decide the canonical store and AI editing surface.
  5. Specify sync, conflict, validation, artifacts, and launch flow.
  6. Ask only the irreducible questions that materially change architecture.
  7. Choose or adapt the nearest reusable template under assets/templates.
  8. Produce the architecture summary, chosen pattern, contract, scaffold plan, and implementation sequence.

Design rules

  • The agent MUST keep one canonical source of truth.
  • The agent MUST prefer machine-readable, diff-friendly canonical data for AI.
  • The agent MUST prefer the most natural human GUI for the job, even when it is an existing application.
  • The agent MUST reuse an existing GUI when that GUI is the truth for layout, wrapping, print, or visual constraints.
  • The agent MUST show validation in the human primary work surface whenever practical.
  • The agent MUST prefer diagnostics in the same active human GUI via inline markers, anchored panels, or in-surface sheets before introducing a separate diagnostics window.
  • The agent MUST separate generated artifacts from canonical data.
  • The agent MUST NOT rely on silent overwrites for human/AI conflicts.
  • The agent MUST make the human launch path low-friction. The agent MUST prefer launcher or double-click flows over CLI for routine human work.

Outputs

The agent MUST produce these outputs unless the user explicitly narrows scope:

  • Architecture summary.
  • project-contract.
  • Chosen GUI pattern and rationale.
  • Scaffold layout.
  • Implementation plan.
  • Acceptance criteria.

The agent MUST use assets/project-contract.schema.json when a machine-readable schema is needed. The agent SHOULD use the example contracts under assets/templates when the request is close to an existing pattern.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

32.22%
按下载量换算28

Claude

32.14%
按下载量换算28

Cursor

17.52%
按下载量换算15

Gemini CLI

8.61%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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