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Générateur d'images par lot via l'API Adobe Firefly

Appelle l'API Adobe Firefly pour générer et remplir des images en lot.

Qu'est-ce que Générateur d'images par lot via l'API Adobe Firefly ?

Cette compétence permet aux agents d'IA d'appeler l'API Adobe Firefly pour générer des images par lot à partir de descriptions textuelles et d'effectuer des remplissages génératifs. Elle gère automatiquement l'authentification OAuth via Adobe IMS et applique des métadonnées obligatoires Content Credentials (C2PA) sur toutes les sorties, garantissant traçabilité et conformité. Idéale pour les workflows créatifs automatisés, la compétence s'intègre avec les outils comme Claude Code, Cursor ou Codex et s'appuie sur la documentation officielle d'Adobe Firefly. Son fonctionnement repose sur l'analyse des invites textuelles, la génération de variations d'images et la rotation intelligente des objets selon le contexte de l'arrière-plan, le tout via l'API REST d'Adobe.

Compatible avec~Claude Code~Codex CLI✓Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/adobe-firefly-api-batch-image-generator
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Documentation

Que fait Générateur d'images par lot via l'API Adobe Firefly ?

Appelle les API de génération texte-à-image et de remplissage génératif d'Adobe Firefly pour la création d'actifs par lot. Gère les jetons OAuth Adobe IMS et applique les métadonnées obligatoires Content Credentials (C2PA) sur toutes les sorties.

Installation

Notes d'utilisation de base ou de prise en main :

  • Rotation intelligente des objets – Le modèle Adaptive Composite analyse l'arrière-plan cible et ajuste automatiquement la rotation de l'objet pour correspondre aux indices environnementaux (par exemple, perspective ou direction de l'éclairage).

  • Pour commencer, consultez Prise en main pour l'authentification et la configuration, et la Référence API pour les points de terminaison et schémas d'upscale.

  • Un guide de démarrage rapide pour effectuer votre premier appel réussi à l'API Firefly.

  • Source : https://developer.adobe.com/firefly-services/docs/firefly-api/

Documentation

Source

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

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ACF Extended for Advanced Custom Fields Workflows

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ACF to Gutenberg Block Migrator

Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().

Activepieces Open Source Workflow Automation

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ActivityWatch Cross-Platform Automated Time Tracker and Producti

ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.

act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Photoshop API Batch Processor

Automates image editing workflows via the Adobe Photoshop API (Firefly Services). Supports smart object replacement, action playback, and PSD layer manipulation at scale.

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