Image Generation

Content updated.

Content updated.

Content updated.

Display title updated.

- Skill name changed from "image-cog" to "image-generation-cellcog" - Updated description and documentation to reflect the new skill name and purpose - Removed the skill-card.md file - No changes to usage instructions, model capabilities, or sample prompts

- Added environment and binary requirements to metadata: `python3` and `CELLCOG_API_KEY` are now specified as dependencies. - No functional or user-facing changes; documentation metadata improved for deployment clarity.

- Expanded description to highlight support for brand assets, stickers, comics, and GIFs. - Clarified agent usage instructions: now specifies "All agents except OpenClaw" for one code sample. - No changes to code, features, or major usage – documentation and wording improvements only.

- Revised and expanded the skill's description for greater clarity and detail. - Updated SDK usage examples, including new agent provider options. - Improved and clarified image generation features, use cases, and example prompts. - Enhanced documentation for image specifications, styles, and recommended use cases. - Added instructions for both fire-and-forget and blocking agent modes.

- Shortened and clarified the skill description for improved readability. - Streamlined usage instructions, separating OpenClaw and other agents. - Removed redundant and verbose onboarding and prerequisite information. - Kept all key examples, model details, image types, and prompt tips intact. - No changes to core functionality or capabilities; documentation update only.

**image-cog v1.0.8 changelog** - Completely overhauled documentation in SKILL.md for clarity, use cases, and guidance. - New sections detailing available models (Gemini 3.1 Flash, GPT Image 1.5, Recraft) and when each is used. - Expanded examples for single images, product photography, sets, character consistency, and reference-based generation. - Added practical table summaries for aspect ratios, formats, and when to use agent team mode. - Improved prompt-writing tips and concrete prompt samples to help users get better results.

**Summary: Major documentation and feature list update for broader capabilities.** - Expanded description and examples for image editing, vector, icon, and transparent background support. - Output formats clarified: PNG, JPG, WebP, SVG, with per-model best-use notes. - New section on internal model routing and reference image handling. - Added chat mode recommendations for single versus batch/multi-image scenarios. - Linked to related skills for branding, memes, 3D, GIF, and sticker generation. - Broader and clearer language for use cases and feature highlights.

- Added guidance on using OpenClaw "fire-and-forget" agent sessions for long image tasks - Clarified usage of `notify_session_key` and agent differences in code examples - Improved SDK usage instructions and removed references to deprecated delivery modes - No changes to skill functionality or API, documentation only

- Updated documentation to clarify quick start and SDK usage. - Shortened and simplified the code example for starting image generation. - Added direction to consult the cellcog skill for full API/details. - No changes to skill features or logic; documentation only.

- Expanded description to highlight image-to-image, photo editing, and social media content generation. - Added supported operating systems and a homepage link to metadata. - Improved clarity in usage instructions and feature lists. - Strengthened emphasis on multi-model capabilities and routing. - Updated skill documentation for broader and clearer coverage of features.

**Now supports multi-model image generation, with automatic provider routing for different image tasks.** - Added a new section detailing which image generation models are used and their roles: Nano Banana 2 (default), GPT Image 1.5 (for transparent images), and Recraft (vector/icon generation). - Clarified that CellCog agents intelligently select the best model for your request, and users can request a specific model in the prompt. - No API pattern or usage changes. - All other documentation remains unchanged except for new model explanation.

- Added explicit author (CellCog) and dependencies ([cellcog]) metadata to skill manifest. - Clarified prerequisite to require the `cellcog` skill (previously “CellCog mothership skill”). - Minor improvements to formatting and dependency instructions for clarity. - No changes to feature set or functionality.

- Added an emoji to the skill metadata for improved identification. - Updated example usage for image generation to show the new fire-and-forget pattern using `create_chat` (v1.0+). - Clarified SDK setup instructions and removed references to the deprecated `sessions_spawn` pattern. - Small documentation improvements for clarity and accuracy.

- Initial release of image-cog skill: AI image generation powered by CellCog. - Supports creation of single images, editing, style transfer, consistent character sets, and product photography. - Enables reference-based images, sets of related images, style matching, and composition-based generation. - Integrates with CellCog mothership skill for setup and API calls. - Provides detailed documentation on prompt patterns, image specifications (aspect ratios, sizes, styles), and usage tips. - Includes example prompts for professional use cases and guidance for both simple and complex image generation workflows.