openai-image-edit
Edit images via OpenAI gpt-image-1 API. Creates edited or extended images from source images and a prompt. Supports masks for selective editing, multiple input images for compositing, and input fidelity control...
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Skills indexés
8Étoiles des dépôts des skills indexés
16Forks du dépôt
16Moyenne des étoiles par skill indexé
2Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Edit images via OpenAI gpt-image-1 API. Creates edited or extended images from source images and a prompt. Supports masks for selective editing, multiple input images for compositing, and input fidelity control...
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, ge...
Create, debug, and optimize GitHub Actions workflows (.github/workflows/*.yml): triggers, jobs, matrices, caching, artifacts, permissions/OIDC, reusable workflows, and actionlint-driven troubleshooting. Use whe...
Write and maintain Java tests using ApprovalTests snapshot testing library. Use when: (1) Writing tests with `Approvals.verify()` or similar methods, (2) Testing complex objects, JSON, XML, HTML, or collections...
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow help...
Generate images via OpenAI gpt-image-1.5 API. Supports batch generation with custom prompts or random prompt sampling. Features transparent backgrounds, multiple output formats (png/jpeg/webp), quality levels,...
Design command-line interface parameters and UX: arguments, flags, subcommands, help text, output formats, error messages, exit codes, prompts, config/env precedence, and safe/dry-run behavior. Use when you're...
Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.