Results for “ima”

Process and manipulate images using ImageMagick: resize, convert formats, batch process, and retrieve metadata.

Generate and edit images using OpenAI's GPT-Image-2 model via the inference.sh CLI, supporting text-to-image, image editing, inpainting, and batch generation.

Generate images with Google Gemini native image models via the inference.sh CLI, supporting text-to-image, image editing, multi-image input, and various output options.

Image optimization analysis for SEO and performance. Checks alt text, file sizes, formats, responsive images, lazy loading, and CLS prevention. Use when user says "image optimization", "alt text", "image SEO", "image size", or "image audit".

Automate Imagekit IO tasks like image uploads, transformations, and management through Rube MCP and Composio's toolkit.

Generate images using Google Gemini 3.1 Flash Image Preview via the inference.sh CLI, with support for text-to-image, image editing, multi-image input, and Google Search grounding.

Generate or edit images via OpenRouter using the Gemini 3 Pro Image model, with support for prompt-only generation, single-image edits, and multi-image compositing at 1K/2K/4K resolutions.

Generates or edits images for projects using the OpenAI Image API, with support for batch runs and structured prompt augmentation.

Generate images from text prompts, perform image-to-image translation, inpainting, and build custom diffusion pipelines using Stable Diffusion models via HuggingFace Diffusers.

Compresses images to WebP (default) or PNG with automatic tool selection. Use when user asks to "compress image", "optimize image", "convert to webp", or reduce image file size.

Generates images via OpenAI, Google, DashScope, and Replicate APIs, supporting text prompts, reference images, aspect ratios, and quality presets.

Generate a professional blog post header image sized for web (1200×628) with optional title composition guidance.

Generate or edit images with Codex. Use this skill whenever the user says "imagine ...", asks to create an image from a text description, transform or restyle an existing image, produce artwork / illustrations / logos / concept art, make image variations, or asks for any kind of AI image generation or image-to-image editing. All outputs are saved inside the current project's `./images/` folder by default.

When the user wants to create, generate, edit, or optimize images for marketing — blog heroes, social graphics, product mockups, profile banners, listing visuals, or brand assets. Also use when the user mentions 'AI image generation,' 'generate an image,' 'create a graphic,' 'product mockup,' 'hero image,' 'social media graphic,' 'banner image,' 'cover photo,' 'profile banner,' 'listing screenshot,' 'Flux,' 'Flux Kontext,' 'Midjourney,' 'DALL-E,' 'GPT Image,' 'ChatGPT Images,' 'Ideogram,' 'Gemini image,' 'Nano Banana,' 'Recraft,' 'Stable Diffusion,' 'Canva,' 'Figma,' 'image optimization,' 'compress images,' 'WebP,' or 'OG image.' Use this for general-purpose marketing image creation and optimization. For paid ad image creative and platform-specific ad specs, see ad-creative. For video production, see video.

Generates article cover images with customizable type, palette, rendering, text, mood, and font, supporting multiple aspect ratios and reference images.

统一的 IMA OpenAPI 技能，支持笔记管理和知识库操作。 当用户提到知识库、资料库、笔记、备忘录、记事，或者想要上传文件、添加网页到知识库、 搜索知识库内容、搜索/浏览/创建/编辑笔记时，使用此 skill。 即使用户没有明确说"知识库"或"笔记"，只要意图涉及文件上传到知识库、网页收藏、 知识搜索、个人文档存取（如"帮我记一下"、"搜一下知识库里有没有XX"），也应触发此 skill。

Generate or edit images through ClawRouter's local API, with automatic payment via x402 and support for multiple models.

Integrate client-side video and audio ads using the IMA SDK across web, Android, iOS, and TV platforms with VAST/VMAP support.

Builds machine and container images with HashiCorp Packer, including Docker images locally without cloud resources.

Idea Maze

This skill should be used when generating and editing images using the Gemini API (Nano Banana Pro). It applies when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.

Builds RAG and agent applications with LlamaIndex, covering installation, LlamaParse, and LlamaAgents.

Reads and sends iMessage/SMS messages on macOS via the imsg command-line tool, including chat listing, history, and watching.

Read and manage email via IMAP (ProtonMail Bridge, Gmail, etc.). Check for new/unread messages, fetch content, search mailboxes, and mark as read/unread. Works with any IMAP server including ProtonMail Bridge.

Expert en inference llama.cpp avancé (GGUF, quantization, local models, HTTP server, hardware)

Structure and draft a Confidential Information Memorandum for a sell-side M&A process — the disclosed marketing document sent to buyers after they sign an NDA.

Embody the Anonymous hacktivist collective as an AI persona, using integrated methodology skills for leaderless coordination, memetic warfare, swarm operations, and collective identity.

Use this skill for information architecture, internal links, hub pages, anchor text, crawl depth. Trigger when the task involves seo work related to Internal Linking Ia, production implementation, audits, debugging, strategy, or validation.

Run LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.

Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.