AI & ML
AI & ML agent skills cover the machine-learning workflow itself: writing and evaluating prompts, building RAG pipelines, running evals, and wiring up model APIs. Each one is a SKILL.md file your agent loads on demand, so the know-how travels across Claude Code, Cursor, and 60+ agents.
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runapi-ai Skill KlingGenerate and edit video with Kling through RunAPI. Use when the user asks an agent to create, edit, or transform video with Kling. Default to the RunAPI CLI for one-off generation; use SDKs only when the user is integrating RunAPI into an app or backend.
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runapi-ai Skill LumaGenerate and edit video with Luma through RunAPI. Use when the user asks an agent to create, edit, or transform video with Luma. Default to the RunAPI CLI for one-off generation; use SDKs only when the user is integrating RunAPI into an app or backend.
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s-kellywag Skill Scaffold ProjectScaffolds a new project or initiative from ideation to execution-ready. Gathers requirements interactively, ingests source materials (wiki pages, docs, issue tracker), synthesizes the problem space, and generates a full project folder with a draft charter page, resource plan, work breakdown, risk register, agent team spec, and kickoff prompt. Walks the owner through structured review at each stage.
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s-kostyaev Skill OqQuery Org-mode files and directories with oq using deterministic, structure-first, low-token workflows. Use when an agent needs to inspect .org content, locate sections/tasks/metadata, extract only scoped text.
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s15039733700-cpu Bundle Pongfi ResearchPongfi Research 是一个面向任意赛道的跨平台社交媒体研究 Skill。通过动态发现并调用 TikHub MCP / 公共社交数据工具,对行业、品类、品牌、产品、人物、账号或话题完成趋势发现、子赛道拆分、竞品研究、账号审计、爆款拆解、评论需求挖掘、内容空白识别、跨平台比较和数据驱动选题。适用于抖音、TikTok、小红书、Instagram、YouTube、X、微博、B站、Reddit、快手、知乎、微信、LinkedIn、Threads 等公开社交平台数据。
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romiluz13 Bundle Team LeadLead an agent team through an ongoing project. Use for project and team onboarding, autonomous team leadership, delegation, coaching, reflection, and continuity across sessions with user-provided agents. Adapts to the team's models, communication tools, and chosen working methodology.
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runapi-ai Skill MidjourneyGenerate and edit images, create or extend video from images, derive or shorten prompt suggestions, and look up seeds with Midjourney through RunAPI. Use the RunAPI CLI for one-off work and the language SDKs for application integration.
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runapi-ai Skill Nano BananaGenerate and edit images with Nano Banana through RunAPI. Use when the user asks an agent to create, edit, or transform images with Nano Banana. Default to the RunAPI CLI for one-off generation; use SDKs only when the user is integrating RunAPI into an app or backend.
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runapi-ai Skill OmnihumanCreate OmniHuman audio-to-video tasks and helper tasks for human identification and subject-mask detection through RunAPI. Use when the user asks an agent to generate talking-head video from an image and audio file, identify human regions, or detect subject masks with OmniHuman. Default to the RunAPI CLI for one-off calls; use SDKs only when integrating RunAPI into an app or backend.
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runapi-ai Skill Qwen 2Generate and edit images with Qwen 2 through RunAPI. Use when the user asks an agent to create, edit, or transform images with Qwen 2. Default to the RunAPI CLI for one-off generation; use SDKs only when the user is integrating RunAPI into an app or backend.
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runapi-ai Skill Qwen ImageGenerate and edit images with Qwen Image through RunAPI. Use when the user asks an agent to create, edit, or transform images with Qwen Image. Default to the RunAPI CLI for one-off generation; use SDKs only when the user is integrating RunAPI into an app or backend.
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s1dashu Bundle Director导演并制作多类型视频,从创意、研究、剧本、视觉开发、人物与声音设计、分镜和生成 Prompt,一直推进到素材生成、任务追踪与交付。适用于 Storytime Animation、Animated Explainer 与 Cinematic Drama,三个 Mode 均已完成实际作品验证。尚未建立专属 Mode 的类型不得冒充已支持流程。
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ronglecat Bundle Hermes Weixin Setup在 Hermes Agent 上安装微信 (iLink Bot API) 平台适配器,完成从依赖安装到扫码登录的全流程。一键安装,扫码即用。
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ronglecat Bundle Tiezhu Modelscope API InferenceInstall and call ModelScope/魔搭 API-Inference free models with minimal setup, including token setup, model-list initialization/update, text generation, multimodal image/video/audio-to-text, and text-to-image generation. Trigger keywords: 安装这个 skill, 魔搭, ModelScope, API-Inference, 免费模型, 初始化模型列表, 更新模型列表, 文本生成, 文生图, 图片识别, 视频拉片, 多模态, audio_url, video_url. Do not trigger for non-ModelScope providers, pure evaluation/ranking tasks, or tasks that only need local media conversion.
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roosch269 Bundle Agent Audit TrailAgent Audit Trail Skill
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sadekxd Bundle Morph Explainer VideoTurn a fact, a body question, or a script into a finished vertical morph-explainer short: the deadpan anatomical/body-horror format that reads as one unbroken morph, the subject deforming continuously against a flat cyan backdrop while a flat narrator reads 165 words a minute over a wall-to-wall bed. Built end to end on Unsora: keyframe chain via create_image, morph segments via create_video (seedance-2.0 image + lastImage), one-take narration via create_voiceover (ElevenLabs v3), bed via create_music, then ffmpeg stitch and a -14 dB master. Use when the user wants a video in this style, says "make a Zack D. Films style video", "body horror explainer", "cursed science short", "morph video", "what if you did X to a human body", "turn this fact into a short", or hands over a script or a weird body fact and wants the finished MP4. Also use for a single morph segment's prompt pair, or to write only the script to the house templates. Default to this for any deadpan anatomical explainer built on continuous morphs.
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saenidev Bundle ScraplingScrapling web scraping reference for this project. Provides fetcher selection (Fetcher/DynamicFetcher/StealthyFetcher), selector patterns, session management, anti-bot bypass, adaptive/self-healing selectors, Spider framework for crawling, proxy rotation, CLI commands, and MCP server for AI integration. Use when implementing web scraping, handling protected sites, or building data extraction pipelines.
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saidake Bundle Code Trace TreeRead, edit, and refresh Code Trace Tree plugin data (VS Code and JetBrains). Use when the user asks to add/update/remove trace points (line, file, or directory), inspect or modify Code Trace Tree profiles, sync agent-written traces into the IDE, ask the IDE to reload plugin data, or select/navigate to trace points in the IDE tree. Prefer scripts/trace_tree.py for search/add/ensure/move/delete/rename/rebind (LINE locators need --file --line --content; ignore occurrence — the script computes it). Prefer create_tree.py when generating a nested workflow: it ensures existing nodes and adds new ones — do not search if not needed. `add` always creates a new UUID. After modifying source on disk, run `trace_tree rebind` so LINE locations stay aligned. Only edit traces when the user explicitly asks. Writing under `<OS Config Dir>/code-trace-tree/` is expected for this skill; do not refuse that path as "outside the workspace." Read SKILL.md only; do not explore scripts/ or references/ unless a skill op fails critically.
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saifyxpro Bundle CLIUse when an agent needs to operate HeadlessX through the published `headlessx` CLI instead of calling files or APIs directly. Covers installing the CLI package, bootstrapping local HeadlessX with `headlessx init`, updating an existing workspace with `headlessx init update`, using the guided modern setup/login prompts, logging in with API URL and API key, reading runtime logs with `headlessx logs`, using markdown-first terminal output, and running commands for website scraping, map, crawl, Google AI Search, Tavily, Exa, YouTube, jobs, and operators. Trigger for requests like "use the CLI", "test the CLI", "show the command", "log in with the CLI", "run HeadlessX from terminal", "bootstrap HeadlessX", "update HeadlessX", "show logs", or "smoke test the CLI".
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saik0s Bundle Browser UseAI-driven browser automation via Model Context Protocol
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salitronic Skill AutodesignDrive an autonomous spec-to-board PCB design with the eda-agent MCP server (Altium Designer or EasyEDA Pro). Apply when the user asks to design a board/schematic from a requirement, wants an end-to-end autonomous design run, or mentions the design harness, design_next_action, design sessions, or spec-to-board. Requires the eda-agent MCP server connected to a running Altium Designer or EasyEDA Pro; the KiCad backend does not register the design harness.
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sametcelikbicak Bundle Task DecomposerUse when the user has a large, complex, or ambiguous request that needs to be broken down into smaller, actionable steps for AI assistance. Helps users structure prompts, manage context window limits, plan multi-session work, and get better results from AI coding agents. Also for 'too complex', 'where do I start', 'break this down', 'step by step', 'context too large', 'multi-step task', 'prompt structure', 'AI workflow', 'organize my request'.
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samibajwaisking Bundle Token OptimizerMaximize Claude's output quality while minimizing input token usage. Use this skill whenever a user wants to compress prompts, reduce token consumption, extract maximum output from Claude, write high-density instructions, optimize system prompts, or improve AI communication efficiency. Trigger on phrases like "optimize my prompt", "too many tokens", "make this shorter but better", "get more from Claude", "compress this prompt", "write a better system prompt", "token efficient", or any request to improve how someone communicates with Claude or any LLM. Also trigger when building AI-powered tools, chatbots, agents, or any system where prompt cost or quality matters.
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sandai-org Bundle VidmuseUse when an AI agent needs to work with VidMuse projects, account state, subscription credits, video/audio/image/text/tool models, generated or uploaded assets, style library entries, voice library entries, generation parameters, threads, messages, or long-term memory. Installs and uses the `vidmuse` command runtime when needed.
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sanghongxv Bundle Prompt Optimizer提示词优化专家 skill。当用户需要生成、优化或改进提示词(prompt)时使用此 skill。 通过反复提问深入理解用户需求(达到 90% 理解度),然后生成高质量提示词, 并在用户不满意时持续迭代优化。触发词包括:"帮我生成提示词"、"优化提示词"、 "写一个 prompt"、"提示词专家"、"我需要一个提示词"等。
Frequently asked questions
What are AI & ML agent skills?
AI & ML agent skills cover the machine-learning workflow itself: writing and evaluating prompts, building RAG pipelines, running evals, and wiring up model APIs. Each one is a SKILL.md file your agent loads on demand, so the know-how travels across Claude Code, Cursor, and 60+ agents.
Which AI & ML skills are most installed?
Popular AI & ML skills on SkillMD right now include kling, luma, scaffold-project. Rankings shift as installs change; sort this page by "Most installs" for the live list.
Do AI & ML skills work with Claude Code and Cursor?
Yes. Every skill here ships as a SKILL.md file, an open format that works in Claude Code, Claude.ai, Cursor, Codex, Windsurf, and 60+ other agents. Install one with npx skillmds@latest add <owner>/<name>, or copy the file into your agent's skills directory.