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PythonReactSEOPDF
GitHub Skill

agentic-image-loop

Generate -> annotate -> refine -> repeat using generate_image + Visual Annotator (Live Canvas).

CoWork-OS☆ 139 仓库 Stars14 仓库 Forks

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

查看来源 ↗使用指南

技能说明

Agentic Image Loop

Purpose

Generate -> annotate -> refine -> repeat using generate_image + Visual Annotator (Live Canvas).

Routing

  • Use when: Use when the user asks to generate -> annotate -> refine -> repeat using generate_image + Visual Annotator Live Canvas.
  • Do not use when: Do not use when the request is asking for planning documents, high-level strategy, or non-executable discussion; use the relevant planning or design workflow instead.
  • Outputs: Outcome from Agentic Image Loop: task-specific result plus concrete action notes.
  • Success criteria: Returns concrete actions and decisions matching the requested task, with no fabricated tool-side behavior.

Trigger Examples

Positive
  • Use the agentic-image-loop skill for this request.
  • Help me with agentic image loop.
  • Use when the user asks to generate -> annotate -> refine -> repeat using generate_image + Visual Annotator Live Canvas.
  • Agentic Image Loop: provide an actionable result.
Negative
  • Do not use when the request is asking for planning documents, high-level strategy, or non-executable discussion; use the relevant planning or design workflow instead.
  • Do not use agentic-image-loop for unrelated requests.
  • This request is outside agentic image loop scope.
  • This is conceptual discussion only; no tool workflow is needed.

Runtime Prompt

  • Current runtime prompt length: 2117 characters.
  • Runtime prompt is defined directly in ../agentic-image-loop.json.

使用示例

查看来源仓库中的使用示例与配置说明。

查看来源 ↗

来源历史

收录时间
2026-03-11
索引更新时间
2026-03-11
Branch
main

收录与同步日期属于本站记录。源码修改历史请查看来源仓库。

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