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Found 500 Skills
Create or update content for the agegr/mindmap-ppt static presentation project from a prose draft, article, speech, report, or notes. Use when Codex needs to turn a written document into the project's project/source.js Markdown mind-map data, choose which nodes need illustrations, generate or request GPT Image 2 illustrations matching the project's restrained presentation style, place assets under project/, and validate the result with npm run check.
Provides image recognition capabilities for non-multimodal models (such as pure text models like deepseek-v4-pro, GLM-5.1, mimo-v2.5-pro, etc.). This skill is automatically triggered when the main model cannot recognize images, when users send screenshots/design drafts/UI screenshots for analysis, or when users say 'Look at this image', 'Analyze this screenshot', 'What's wrong with this image'. It also applies to any scenario where users paste images but the current model does not support image input. Supports simultaneous recognition of multiple images, with primary-backup fallback achieved by configuring multiple image recognition models. It can also be manually triggered using the commands /skill:vision-support or /vision. Iron Rule: The models configured for this skill are only used for image content recognition and will never participate in main logical reasoning. Note: If the current model is itself a multimodal model (such as Claude Sonnet 4, GPT-4o, Gemini, etc. that can directly recognize images), do not use this skill; let the main model recognize directly.
Build and deploy an MCP server from an OpenAPI / Swagger spec using the mcp-use TypeScript SDK. Use this skill whenever the user wants to "turn this OpenAPI spec into an MCP server", "make this API usable from Claude/ChatGPT", "wrap this Swagger doc as MCP tools", "expose this REST API to an LLM", "generate MCP tools from a spec", or pastes/attaches an `openapi.yaml`, `openapi.json`, or `swagger.json` and asks for a Claude-compatible version. Trigger even if the user doesn't say "MCP" — if they describe an existing HTTP API (REST endpoints, an internal service, a third-party API they have a key for) and want an LLM to call it, this is the right skill. Covers spec ingestion (file path, URL, or pasted), operation-to-tool mapping, auth wiring (apiKey, bearer, basic, OAuth bearer), scaffolding with `create-mcp-use-app`, tool generation with proper zod schemas, live testing in the mcp-use inspector, and deploying to Manufact / mcp-use cloud.
Builds robust, tool-specific prompts from user intent using a structured extraction and routing engine. Use when the user asks for prompt creation, prompt repair, prompt decomposition, or adapting prompts across Claude, GPT, reasoning models, Gemini, coding IDEs, autonomous agents, and image tools.
Generate, revise, translate, and manage App Store / Google Play marketing screenshots. Full flow: initialize a .shots workspace, scrape App Store metadata, research the product from the repo and listing, identify theme, colors, audience, and competitor space, save a strategy brief, craft benefit-driven headlines, and generate 3-up GPT-Image 2 composites via OpenAI direct or fal.ai before cropping them into upload-ready panels. Supports iPhone, iPad, and Android Phone platforms. Triggers: "app store screenshots", "marketing screenshots", "store listing images", "screenshot generation", "app store assets", "google play screenshots", "shots", ".shots", "revise shots", "change screenshots", "fix panels", "redo screenshots", "translate screenshots", "localize", "scrape app store", "fetch metadata", "import app store". Do NOT use for general image generation, social media graphics, or non-store marketing assets.
MCP server for AI image & video generation with 9 models (GPT Image 2, Nanobanana 2, Flux 2, Midjourney V8.1, Veo 3.1, local ComfyUI), 1,446 curated prompts, and parallel batch orchestration
Bootstrap a local AI review pipeline and generate a paste-ready review prompt for any provider (Codex, Gemini, GPT, Claude, etc.). Use after creating a handoff or when ready to get an AI code review.
Configure (or troubleshoot) an AI coding agent or CLI to route through the Salesforce Models API using a signed OrgJWT. Use this skill when pointing an agent at the Salesforce model endpoint (api.salesforce.com/ai/gpt/v1), setting up OrgJWT / Bedrock-mode auth, wiring the agent's settings, API-key helper, and credentials file for the Salesforce endpoint, or fixing Models API 401 / 404 / "model not available" errors. DO NOT TRIGGER when the user needs to create or configure the Salesforce Connected App itself (use integration-connectivity-connected-app-configure) or set up Named Credentials / callout auth (use integration-connectivity-generate).
Use this skill for any image-related AI generation or editing task. Triggers include: GENERATE: "generate image", "create image", "make picture", "draw", "visualize", "image of", "create art", "generate art" EDIT: "edit image", "modify image", "change image", "update image", "fix image", "enhance image" ADD/REMOVE: "add to image", "put in image", "remove from image", "delete from image", "add element" STYLE: "style transfer", "make it look like", "convert style", "apply style", "in the style of" PRODUCT: "product photo", "product placement", "place product", "mockup", "put product on" COMPOSITE: "combine images", "merge images", "blend images", "create composite" Supports text-to-image generation, image editing with references, product placement, style transfer, and multi-image composition using Google Gemini (Nano Banana Pro) or OpenAI DALL-E.
AI token price comparison platform that scrapes and aggregates prices across multiple platforms to help users find cheap, reliable AI account tokens
Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data. Covers correlation testing, available recipes, and multi-GPU examples.
Generate AI images with DALL-E - create images from text descriptions, edit existing images, and manage creations