freestylefly/awesome-gpt-image-2

Selection

Select when

• You need Claude Code to draft or refine GPT-Image2 prompts from a structured visual library.
• You want image-prompt templates spanning UI, infographics, posters, products, brands, photography, illustration, characters, scenes, history, or documents.
• You need concrete requirements for layout hierarchy, exact text, aspect ratio, and avoided artifacts.
• You want nearby case IDs and template sources alongside the generated prompt.
• You work in Chinese or English and want the prompt to follow the request language.
• You prefer an installable Agent Skill with plugin, copied-skill, or npm-based distribution.
• You want a browsable gallery to complement prompt drafting.
• You need reusable Prompt-as-Code structures for agent or automation workflows.

Boundaries

Avoid when

• You need Claude Code itself to render images through a documented bundled generation tool.
• You require a provider-neutral image-generation workflow rather than GPT-Image2-oriented guidance.
• You need verified commercial rights for every referenced prompt or image.
• You need guaranteed factual, historical, typographic, anatomical, or brand accuracy in generated images.
• You cannot review a third-party npm installer or allow writes to local agent skill directories.
• You need an independently audited security, privacy, or compatibility posture.
• You need a small domain-specific library rather than a broad visual catalog.
• You require offline evidence that every website or external package feature works as described.

Strengths

Capabilities

Risk profile

Risks and limitations

• Uncertainty: only selected files were supplied, so the full gallery, templates document, style-library JSON, plugin manifest, generators, website code, API proxy, migrations, and tests were not comprehensively inspected.
• Uncertainty: repository metadata and several documented migrations are dated in 2026, so recency, adoption, and operational status cannot be independently reconciled in this analysis context.
• The metadata description says 530+ cases while the supplied READMEs and gallery badge say 544, indicating minor count drift.
• The skill reference contains 21 indexed templates, while the README states more than 20 without supplying a single authoritative count.
• The skill generates prompt text but does not document a bundled Claude Code image-generation tool or direct model invocation.
• Generated-image quality, readable text, exact layouts, anatomy, identity preservation, and style consistency remain model-dependent.
• The repository says many cases and images derive inspiration from public community sources and does not guarantee commercial-use rights.
• The top-level MIT license does not establish rights to every third-party prompt, image, brand, character, or referenced source.
• The packaged installer removes and replaces the existing target skill directory of the same name before copying files.
• No minimum Claude Code version, host compatibility matrix, telemetry statement, threat model, dependency audit, or independent security review was supplied.
• The website's optional generation, authentication, analytics, billing, and community features require multiple third-party services and sensitive credentials.
• Prompt selection and aesthetic recommendations are heuristic and still require human review for brand, legal, safety, and production suitability.

The skill package is Markdown plus references, assets, metadata, and a Node installer. The inspected installer validates expected package entries, creates target roots, deletes any existing same-named skill directory, and copies package content. The wider website documents server-side handling for Supabase and payment secrets, but its implementation and tests were not comprehensively inspected; no independent audit or Claude-specific security policy was supplied.