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Found 1,538 Skills
Use the mm CLI to index, explore, query, and extract content from multimodal directories containing images, videos, PDFs, code, and other files. Triggers: exploring a directory's contents, listing/finding files by type or size, extracting text from PDFs, getting image metadata, searching across file contents, counting tokens, viewing directory trees, extracting PDF page mosaics, video keyframe extraction, 'what files are in this folder', 'find all images', 'show me the PDFs', 'how much storage do videos use', 'extract text from this PDF', 'search documents for X', 'analyze this directory', 'how many tokens', 'show the tree'.
Generates .http files for the VS Code REST Client extension from Express, Next.js, Fastify, or other API routes. Creates organized request files with variables, environments, and authentication. Use when users request "generate http files", "rest client requests", "create .http file", or "vscode api testing".
Skeleton UI component library for Svelte applications. Built on Tailwind CSS with comprehensive theming, design tokens, and accessible components. Expert patterns for layouts, forms, data display, and navigation. USE WHEN: user mentions "Skeleton UI", "Skeleton Svelte", asks about "Svelte component library", "Tailwind + Svelte", "Skeleton components", "Svelte design system", "Skeleton theming" DO NOT USE FOR: Other UI libraries - use respective skills (Shadcn, DaisyUI, etc.)
Generate 32+ LinkedIn post ideas in a single table by pairing the user's content pillars with 8 proven content formats. Based on the Justin Welsh content matrix. Use this skill whenever the user says "give me post ideas", "content matrix", "what should I post about", "generate post ideas", "content ideation", or "map out my content for the month". Pulls from about-me.md and voice.md if they exist, otherwise asks for pillars and context.
High-level overview of what Sui is, how it works, and what the Sui Stack provides. Use when explaining Sui to someone new, comparing Sui to other blockchains (Ethereum, Solana, Bitcoin), discussing the object-centric data model at a conceptual level, choosing which Sui Stack primitives to use (randomness, zkLogin, Walrus, Nautilus, DeepBook, Kiosk, Seal), or exploring what use cases Sui enables (DeFi, gaming, NFTs, identity, social, supply chain). Also use when migrating from Ethereum or Solana to Sui.
Create and maintain a product marketing context document covering positioning, ICP definition, messaging hierarchy, competitive differentiation, and value proposition. This skill creates the foundation that all other marketing skills reference. Trigger phrases: "product marketing," "positioning statement," "ideal customer profile," "ICP," "messaging hierarchy," "value proposition," "competitive differentiation," "product narrative," "use case mapping," "update our positioning," "what makes us different," "who is our customer," "messaging framework," "category design," "go to market strategy," "product story."
Build and deploy a Next.js, Bigfish (@alipay/bigfish), or Vite project to the Morphe service (https://morphe.zenmux.app), targeting a linux-x64-gnu runtime. Use when the user asks to deploy, ship, publish, or release a Next.js, Bigfish, or Vite app to Morphe, run "morphe deploy", or otherwise push a build to the Morphe / zenmux platform. Handles login, framework detection, Next.js standalone validation / config fixing, Bigfish static-server wrapping, Vite SPA static wrapping or custom-server (server.ts/js) esbuild bundling, building, zipping, OSS upload, CRC64 checksum, .morphe.json management, and the deploy API call.
Design task-local harnesses, eval gates, and reusable skill extraction for Claude dynamic workflow mode and other adaptive agent harnesses.
Local mirror of OpenAI Codex product documentation (developers.openai.com/codex): CLI, Cloud, web app, IDE extension, hooks, skills, plugins, MCP, subagents, AGENTS.md, prompts, rules, sandboxing, models, pricing, security, and configuration. Use whenever the user asks how Codex behaves, how to install or configure Codex, or what a Codex flag, slash command, or feature does (including informal phrasing such as "hooks", "--resume", "sandbox modes", "cloud environments"). Read this skill's references/ before generic web search for Codex product questions. Do NOT use for Claude Code, Cursor, or other agents -- in particular, do not use for "Claude Code hooks" or general OpenAI API, ChatGPT, Realtime, or non-Codex coding help.
Searches for and retrieves existing visual media (images, logos, icons, photos, graphics, banners, thumbnails, hero images, backgrounds) from sources such as Salesforce CMS, Data 360 or any other source. Use this skill ANY TIME a user request involves finding, searching, getting, fetching, retrieving, grab, looking up, locating media. NEVER call search_media_cms_channels, search_electronic_media tools directly — always go through this skill first. This skill must be activated before any tool is used for media search or retrieval, without exception. Takes PRIORITY and activates FIRST when ANY media search/retrieval is mentioned, regardless of what else happens with the media afterward. Triggers for requests like "search for logo", "find hero image", "get company logo", "locate icons", "fetch background image", "retrieve product photos". Handles the search and source selection workflow. Does not apply when the request is about brand search, to generate NEW images with AI, or edit existing images.
Searches past Claude Code session transcripts under ~/.claude/projects/ to recover a previous conversation by recalled phrase, error string, or topic. Use when the user says 'search your history for', 'find the conversation about', 'look through your past sessions', 'did I ever finish that work on', 'what did we decide about X last week', 'remind me what came out of that session', or otherwise asks you to recall a prior session. Returns session ID, project, date, and a 2-4 sentence summary; on request, also reports the outcome (commit, branch, PR opened or merged). Not for searching the current codebase, current PR comments, or external systems like Slack/Jira — for those, see codebase-analyzer and address-pr-comments.
Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on SageMaker or AWS — including phrases like "deploy a model", "host this LLM on AWS", "serve this embedding model", "deploy a reranker", "deploy a text-to-image / diffusion model", "host this for async inference", "create an endpoint", "serve my fine-tuned model", or any request that involves making a model available for inference on AWS. Use this even when the user is vague (e.g. "I just want to get this running on AWS, you figure it out"). Works for text-generation LLMs, embedding models, rerankers, classifiers, text-to-image / diffusion models — picks the right serving stack and chooses between real-time and async inference. This is the entry-point skill for SageMaker deployment work — it asks clarifying questions, picks a deployment pathway, and coordinates the other deployment skills.