Skills
99,064 packaged capabilities and playbooks for agents. Install any of them with one command.
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Modern Svelte 5 and SvelteKit development covering runes-based reactivity, snippets, SSR/SSG, and state management, including migration notes from legacy Svelte 4 syntax. Use when writing or reviewing Svelte components, deciding between runes and legacy reactive statements, building SvelteKit routes and load functions, or migrating a Svelte 4 codebase to Svelte 5.
Feishu cloud doc permission management. Supports adding, updating, deleting and viewing collaborators, public sharing permissions, share passwords, batch adding, permission checks and ownership transfer. Use when the user requests "add permission", "permission management", "share doc", "authorize", "collaborator", "full_access" or "transfer ownership".
Facilitates and documents a team retrospective capturing what went well, what to improve, and action items. Use at the end of a sprint, project, or milestone to reflect and improve team practices. To bank individual learnings into organizational memory afterward, use iterate-lessons-log.
Implement responsive design for websites and web apps — from standard mobile-first layouts to complex patterns (sticky elements, scroll coordination, data tables, dashboards). Three modes: transform existing sites, build responsive from scratch, or launch a live multi-breakpoint preview. Surfaces design forks where there's no single right answer. Use when building responsive layouts, fixing mobile issues, adding breakpoints, working with sticky/scroll patterns, previewing breakpoints, or when the user mentions responsive, mobile, breakpoints, viewport, adaptive design, or responsive preview.
Analytics and live ops - AnalyticsService economy/funnel/onboarding/progression/custom events, player segments, experience configs via ConfigService, A/B experiments, badges, experience notifications, timed events, daily rewards, season passes. Use when instrumenting a game, tuning economy or onboarding, running A/B tests or feature flags, or planning live events and re-engagement.
Build investor-ready pitch scripts in multiple formats (10-min, 5-min, 2-min, 1-min elevator, investor email). Produces pitch narratives, Q&A preparation, pitch scoring rubric, and optional investor roleplay practice. Use when the user wants to create a pitch, prepare for investor meetings, craft a startup pitch, write a fundraising narrative, or practice their pitch. Triggers for "pitch deck", "investor pitch", "pitch my startup", "fundraising deck", "seed deck", "how to pitch", "investor meeting", "demo day", "prepare pitch", "pitch script", "elevator pitch for investors", "pitch practice", "practice my pitch", "investor roleplay", or any request to present a startup to investors, accelerators, or partners. Works standalone — no prior startup-design session needed, but leverages its output if available.
Implements the Syncfusion React Rich Text Editor (RichTextEditorComponent) from ej2-react-richtexteditor, supporting HTML (WYSIWYG) and Markdown editing. Use this skill for toolbar configuration, image/video/audio insertion, paste cleanup, AI assistant integration, emoji picker, slash menu, mentions, import/export Word/PDF, form validation, and source code view in React applications.
Use when asked for an implementation plan or execution contract for one or more GitHub issues or an in-chat task, including a read-only review of the next safe step, without drafting or provider access, when the source or contract is incomplete, or a retained approved GitHub plan has an existing amendment chain or a changed published integration decision needing durable consumption.
Teaches PMs to create syntactically valid mermaid diagrams by selecting the right diagram type for their communication need, following syntax validity rules, and validating before shipping. Covers all 15 mermaid diagram types with PM-relevant examples and a dual-lens navigation system.
Handles CRE (Chainlink Runtime Environment) Go and TypeScript workflows, the CRE CLI, simulate, and deploy. Sends CRE Connect watchers, gas-less Smart Accounts, and dta.v2 to chainlink-cre-connect-skill. Sends private-document LLM inference to chainlink-confidential-ai-attester-skill. Keeps enclave workflow logic with no document on this skill. It applies to CRON, HTTP, and EVM-log triggers, HTTP and EVM read/write, secrets, and monitoring, even when the user never says CRE.
Generate and edit images with OpenAI GPT-Image-2 via inference.sh CLI. Models: GPT-Image-2. Capabilities: text-to-image, image editing, inpainting, mask-based editing, multi-image reference, batch generation. Use for: product mockups, marketing visuals, image editing, concept art, inpainting, photo manipulation. Triggers: gpt image, gpt-image-2, openai image, chatgpt image, dall-e, dalle, openai image generation, gpt image edit, gpt inpainting, openai dall-e, gpt 4o image
Generate and edit videos with Alibaba HappyHorse 1.0 models via inference.sh CLI. Models: HappyHorse T2V, I2V, R2V, Video Edit. Capabilities: text-to-video, image-to-video, reference-to-video, video editing with natural language, character preservation, 720P/1080P, up to 15 seconds. Use for: physically realistic video, video editing, character-consistent content, product demos, social media. Triggers: happyhorse, happy horse, alibaba video, happyhorse 1.0, dashscope video, alibaba happyhorse, video editing ai, ai video editor
Generate images with Pruna P-Image models via inference.sh CLI. Models: P-Image, P-Image-LoRA, P-Image-Edit, P-Image-Edit-LoRA. Capabilities: text-to-image, image editing, LoRA styles, multi-image compositing, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna, p-image, pruna image, fast image generation, optimized flux, pruna ai, p image, fast ai image, economic image generation, cheap image generation
Generate talking head avatar videos with Pruna P-Video-Avatar via inference.sh CLI. Turn a portrait image into a realistic speaking video with built-in TTS. 18x faster and 6x cheaper than competitors. Models: P-Video-Avatar, P-Image (for portrait generation). Capabilities: text-to-avatar, audio-driven avatars, 30 voices, 10 languages, 720p/1080p, built-in TTS, dynamic backgrounds, full-body control. Use for: AI presenters, product demos, explainer videos, virtual influencers, marketing, education, multilingual content, UGC, gaming avatars. Triggers: avatar video, talking head, ai avatar, p-video-avatar, pruna avatar, video avatar, ai presenter, digital human, virtual presenter, lipsync, talking avatar, ai spokesperson, heygen alternative, synthesia alternative, veed alternative, fabric alternative, omnihuman alternative
Generate videos with Pruna P-Video and WAN models via inference.sh CLI. Models: P-Video, WAN-T2V, WAN-I2V. Capabilities: text-to-video, image-to-video, audio support, 720p/1080p, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna video, p-video, pruna ai video, fast video generation, optimized video, wan t2v, wan i2v, economic video generation, cheap video generation, pruna text to video, pruna image to video
Runs an end-to-end AMD Quark post-training quantization workflow for PyTorch / Hugging Face LLMs: inspect a Hub or local model, choose a quantization plan, create reproducible artifacts, request execution approval, and produce a quantized model. Applies to Llama, Qwen, Mistral, and similar transformer LLM requests involving FP8, INT4, or another Quark scheme. Does not handle .onnx model inputs or ONNX PTQ.
Use when someone drops a raw talking-head video (phone clip, selfie video, webcam recording) and wants it edited into a short-form reel, TikTok or YouTube Short in their own brand style - "edit this", "make this a reel", "cut this down", "add captions and graphics", "send it to CapCut". Also use the first time someone installs this skill or says "set up my brand", and when they want a cover or thumbnail for a reel ("open my thumbnail studio", "make a cover").
Sound and music - the Audio API (AudioPlayer, AudioEmitter, AudioListener, AudioDeviceOutput, Wire, effects, faders), classic Sound/SoundGroup, 2D vs 3D audio, music and SFX volume, client vs server playback, asset permissions, streaming caveats, voice routing, text-to-speech. Use when adding music, sound effects, spatial audio, mixing, or fixing sounds that don't play.
Player input and cameras across keyboard/mouse, touch, gamepad, VR - Input Action System (InputContext, InputAction, InputBinding), UserInputService (PreferredInput, gameProcessedEvent, mouse lock), ContextActionService, reserved keys, custom cameras with BindToRenderStep. Use when adding controls, keybinds, abilities, vehicles, on-screen buttons, or custom cameras.
Continuous security vulnerability scanning for OWASP Top 10, common vulnerabilities and insecure patterns. Use when reviewing code, before deployments or on file changes. Scans for SQL injection, XSS, secrets exposure and auth issues. Triggers on file changes, security mentions and deployment prep
Generate videos with ByteDance Seedance 2.0 via inference.sh CLI. Unified model for text-to-video, image-to-video, and reference-to-video with synchronized audio, up to 1080p, 4-15s duration. Pro and Fast variants. Studio variants with private asset library for portrait consistency. Use for: social media videos, music videos, product demos, animated content, AI video with sound. Triggers: seedance, seedance 2, bytedance video, seedance t2v, seedance i2v, seedance r2v, video with audio, seedance 2.0, bytedance seedance, seedance studio
This skill should be used when the user asks to "remove AI writing patterns", "humanize this text", "make this sound more natural", "remove AI-generated traces", "fix robotic writing", or needs to eliminate AI writing patterns from prose. Supports both English and Chinese text. Based on Wikipedia's "Signs of AI writing" guide, detects and fixes inflated symbolism, promotional language, superficial -ing analyses, vague attributions, AI vocabulary, negative parallelisms, and excessive conjunctive phrases.
BOM (Bill of Materials) management for electronics projects — the workflow skill that coordinates DigiKey, Mouser, LCSC, element14, JLCPCB, PCBWay, and KiCad skills around a unified BOM lifecycle. Create, update, and maintain BOMs with part numbers, costs, quantities stored as KiCad symbol properties. ALWAYS trigger this skill for any task involving component sourcing, pricing, ordering, distributor searches, BOM export, or fabrication preparation — even if the user names a specific distributor or fab house (e.g. "search DigiKey for...", "generate JLCPCB BOM", "order from Mouser"). This skill analyzes the schematic for sourcing gaps, recommends which distributor/fab skills to call for each gap, and writes results back as symbol properties — the agent (or user) performs the actual searches via the called skills. Also trigger on phrases like "what parts do I need", "order components", "how much will this cost", "export for JLCPCB", "find parts for this board", "compare pricing", or "check stock."
Govern Power Automate flows and Power Apps at scale using the FlowStudio MCP cached store. Classify flows by business impact, detect orphaned resources, audit connector usage, enforce compliance standards, manage notification rules, and compute governance scores — all without Dataverse or the CoE Starter Kit. Load this skill when asked to: tag or classify flows, set business impact, assign ownership, detect orphans, audit connectors, check compliance, compute archive scores, manage notification rules, run a governance review, generate a compliance report, offboard a maker, or any task that involves writing governance metadata to flows. Requires a FlowStudio for Teams or MCP Pro+ subscription — see https://mcp.flowstudio.app
When the user wants to optimize brand search for a company with multiple domains (e.g. parent company.com vs product.ai). Ensure the parent/company domain ranks first for brand queries. Also use when the user mentions "brand search," "multi-domain SEO," "company domain first," "parent vs product domain," "hub-spoke domain," "brand SERP control," or "differentiate company and product domains." For domain structure, use domain-architecture.
Use when Codex is already in the attack-path-analysis phase of a security scan or the user explicitly asks to trace a security finding from source to sink and calibrate severity. Do not use as the primary trigger for full PR, commit, branch, patch, or repository scans.
Evaluate an interface from a UX perspective, assessing hierarchy, information architecture, emotional resonance, cognitive load, and overall quality with quantitative scoring and actionable feedback. Use when the user wants an overall design or UX review—not when the main need is measurable accessibility/performance diagnosis, or final micro-detail polish
Provide frameworks for managing and paying off personal debt effectively. Use when the user asks about debt payoff strategies (avalanche vs snowball), refinancing decisions, debt consolidation, debt-to-income ratios, or the opportunity cost of paying off debt vs investing. Also trigger when users mention 'which debt to pay first', 'should I refinance', 'credit card debt', 'student loan payoff', 'DTI for mortgage', 'balance transfer', 'good debt vs bad debt', or ask how to get out of debt faster.
Export and sync Douban (豆瓣) book/movie/music/game collections to local CSV files via Frodo API. Supports full export (all history) and RSS incremental sync (recent items). Use when the user wants to export Douban reading/watching/listening/gaming history, back up their Douban data, set up incremental sync, or mentions 豆瓣/douban collections. Triggers on: 豆瓣, douban, 读书记录, 观影记录, 书影音, 导出豆瓣.
PGA Tour, LPGA, and DP World Tour golf data via ESPN public endpoints — tournament leaderboards, scorecards, season schedules, golfer profiles/overviews, and news. Zero config, no API keys. Use when: user asks about golf scores, tournament leaderboards, scorecards, PGA Tour schedule, golfer profiles, golfer season stats, LPGA results, or golf news. Don't use when: user asks about other sports — use football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), tennis-data (tennis), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), or fastf1 (F1). For betting odds use polymarket or kalshi. For news use sports-news
Best practices for building high-performance services with gRPC and Protocol Buffers. Use when designing RPC services, defining protobuf schemas, implementing streaming APIs, setting up gRPC interceptors, or building cross-language service communication.
Multi-place and multi-server games: universes and places, TeleportAsync with TeleportOptions (ReservedServerId, VipServerId, specific servers, teleport data), retrying failed teleports, secure access control, lobby-to-match flows, parties and queues, Roblox matchmaking with custom signals, server type detection, data handoff. Use when adding lobbies, match servers, dungeons, parties, server browsers, or customizing server selection.
Reference: review of SaaS subscription agreements with attention to the terms that matter most in subscription deals — auto-renewal mechanics, price escalation, data portability, uptime SLAs, and subprocessor rights. Loaded by /commercial-legal:review when a SaaS or subscription agreement is detected
Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. Use when: deploying generative AI models, building orchestration workflows with templating/filtering/grounding, implementing RAG with vector databases, managing ML training pipelines with Argo Workflows, configuring content filtering and data masking for PII protection, using the Generative AI Hub for prompt experimentation, managing prompt templates via the Prompt Registry, or integrating AI capabilities into SAP applications. Covers service plans (Free/Standard/Extended), model providers (Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, IBM, Perplexity), orchestration modules, embeddings, tool calling, and structured outputs.
Query and summarize site activity logs for a Webflow enterprise site. Surfaces recent changes, identifies who made them, and generates human-readable activity reports. Use for site monitoring, change tracking, publish preparation, or weekly activity summaries. Enterprise plans only.
Full PR lifecycle in a fresh task-owned git worktree: implement via the ulw-loop skill with mandatory evidence-bound manual QA → reviewer-readable English PR → verification loop (CI + Cubic, where Cubic is skipped only when its quota is exhausted) → merge by default → worktree cleanup. Decomposes one task into the smallest atomic, independently-mergeable PRs and builds the independent ones concurrently via one worktree per PR driven by parallel subagents or a team. Unbounded loop: any failing gate sends you back to fix-and-re-QA inside that PR's worktree. Use whenever implementation work needs to land as a PR. Triggers: 'create a PR', 'implement and PR', 'work on this and make a PR', 'implement issue', 'land this as a PR', 'split into atomic PRs', 'parallel PRs', 'work-with-pr', 'PR workflow', 'implement end to end', even when user just says 'implement X' if the context implies PR delivery.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.