Rechercher

PythonReactSEOPDF
GitHub Skill

agentic-image-loop

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

CoWork-OS☆ 139 Étoiles du dépôt14 Forks du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

Voir la source ↗Guides

Instructions

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.

Exemples

Consultez les exemples du dépôt source.

Voir la source ↗

Historique source

Date d’indexation
2026-03-11
Mise à jour de l’index
2026-03-11
Branch
main

Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.

GitHub ↗

chat Comments (0)

chat_bubble_outline

No comments yet. Be the first to share your thoughts!