Skills
98,873 packaged capabilities and playbooks for agents. Install any of them with one command.
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Investor pitch deck structure with a slide-by-slide framework, visual design rules, and data presentation. Covers the 12-slide framework, chart types, team slides, and common investor turn-offs. Use for: fundraising decks, investor presentations, startup pitches, demo days, grant proposals. Triggers: pitch deck, investor deck, startup pitch, fundraising deck, demo day, pitch presentation, investor presentation, seed deck, series a deck, pitch slides, startup presentation, vc pitch, investor meeting
Add a new gameplay feature to an existing browser game following its architecture patterns. Use when the user says "add a feature", "add double-jump", "add a power-up", "add a leaderboard", or describes a specific game mechanic to implement. Do NOT use for visual-only changes (use design-game) or replacing shapes with sprites (use add-assets).
Find what a change could break somewhere else before it ships, beyond the diff, and prove the one fact it's safe because of by running real code instead of writing it up. Use for "blast radius of X", "what could this break", reviewing a small diff you don't trust, or a brief that asserts something about existing code ("make X public", "X already handles Y") before you design against that assertion.
Looks up implementation details in the latest Cloudinary docs via the relevant llms.txt file. Use when building code or answering questions relating to image or video uploads, asset management and search, the Media Library (DAM), account settings, SDKs, APIs, webhooks, or integrations. TRIGGER — read BEFORE writing or changing any code that calls a Cloudinary API, SDK, or delivery URL, even when Cloudinary is only a small part of a larger task (for example, a UI page that lists or displays assets) and even if you already know the API. For topics covered by a specialized Cloudinary skill, prefer that skill. Use this skill alongside it when the full use-case requires capabilities outside that skill's scope.
Code style rules for readable, maintainable implementation. Load this skill always when writing or editing code, and whenever the user asks about code style, refactoring shape, function/file size, object-oriented structure, helper ordering, or comments. For Frappe-specific work, prefer frappe-app-dev.
CodeStable is an AI coding workflow for serious software engineering that keeps humans in the loop. Rather than centering on Agent orchestration, it organizes requirements, architecture, features, issues, and historical decisions to make development driven by Codex and Claude controllable, traceable, and continuously evolvable.
Diagnose and resolve cluster-wide GKE TPU node pool creation or scale-up failures caused by Compute Engine reservation stockouts (GCE_STOCKOUT, ZONE_RESOURCE_POOL_EXHAUSTED) when existing unhealthy or NotReady TPU node pools in the cluster have node auto-repair disabled and hold reserved TPU capacity. Use when TPU node pool creation or scale-up fails with GCE_STOCKOUT, ZONE_RESOURCE_POOL_EXHAUSTED, or ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS despite having a specific Compute Engine TPU reservation. Don't use for general pod scheduling without a TPU reservation or workload-level container crashes.
Use when building, refactoring, or documenting Graft apps and proxies, including when asked to create a tool server, API server, dual-protocol server, or MCP-HTTP bridge. Graft's core thesis: define tools once and serve them as both HTTP REST endpoints and MCP tools from the same server, with discovery, docs, and OpenAPI generated automatically. Covers concrete actions such as defining tools and handlers, configuring authentication middleware, setting up HTTP and stdio transports, generating OpenAPI documentation, wrapping existing APIs via proxy mode, and wiring up the full CLI workflow
Hacker News from your terminal — with a local SQLite store, snapshot history, and agent-native output no other HN tool has. Trigger phrases: `check hacker news`, `search hn`, `what is hn saying about`, `diff the hn front page`, `pulse on hn`, `look up hn user`, `hn who is hiring`, `hn top stories`, `use hackernews`, `run hackernews`.
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance
Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRouter. Capabilities: research, fact-checking, grounded responses, knowledge retrieval. Use for: AI agents, research assistants, fact-checkers, knowledge bases. Triggers: rag, retrieval augmented generation, grounded ai, search and answer, research agent, fact checking, knowledge retrieval, ai research, search + llm, web grounded, perplexity alternative, ai with sources, citation, research pipeline
Email marketing design with layout patterns, subject line formulas, and deliverability rules. Covers welcome sequences, promotional emails, transactional templates, and mobile optimization. Use for: email marketing, newsletter design, drip campaigns, email templates, transactional emails. Triggers: email design, email template, email marketing, newsletter design, email layout, email campaign, drip campaign, welcome email, promotional email, transactional email, email subject line, email header image, email banner
Use for GDPR or DSGVO work: scanning a codebase for privacy risks, writing a DPIA or tracking data subject requests against the Art. 12(3) deadline. Runs gdpr_compliance_checker.py, dpia_generator.py and data_subject_rights_tracker.py; final calls go to the DPO.
Gets better results from every Mobbin search, so the references match what you're working on. Use before every call to search_screens, search_flows or search_sections. Covers the tool, writing an effective query, the mode, pulling more results, and what to do when a search falls short.
Dodo Payments checkout via hosted Checkout Sessions (client.checkoutSessions.create), static payment links, and overlay or inline checkout for one-time and subscription products. Use when building a pay button, checkout page, trial signup, custom fields, discount codes at checkout, or return_url redirects; use subscription-integration for post-checkout lifecycle.
When the user wants to plan, implement, or optimize student and education discount programs. Also use when the user mentions "student discount," "education discount," "student plan," "for students," ".edu discount," "academic pricing," "student verification," "SheerID," "UNiDAYS," or "education program." For startup pricing page, use startups-page-generator
When the user wants open source strategy, OSS commercialization, or open source growth. Also use when the user mentions “open source strategy,” “OSS strategy,” “open source commercialization,” “open source to paid,” “open core,” “COSS,” “commercial open source,” “GitHub stars strategy,” “DevHunt,” “open source marketing,” “open source growth,” “Llama,” “Dify,” “Cursor,” “open source business model,” or “developer tools directory.” For GitHub tactics, use github.
Serve a model with MAX's `max serve` command: set up the environment (pixi or uv with the max-nightly conda channel / nightly wheel index), point the server at a Hugging Face repo or local checkpoint, target a custom architecture with `--custom-architectures`, and pick the right serve flags for the model. Use this whenever the user wants to run, launch, start, or host a model on MAX, bring up an OpenAI-compatible endpoint, serve a custom/ported architecture, debug a `max serve` startup failure, or figure out which serve flags (devices, quantization-encoding, max-length, task, trust-remote-code) a given model needs, even if they don't say "max serve" by name.
You are a code education expert specializing in explaining complex code through clear narratives, visual diagrams, and step-by-step breakdowns. Transform difficult concepts into understandable explanations for developers at all levels
Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention.
Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit optimizers. Works with HuggingFace Transformers.
Create and manage Circle developer-controlled wallets where the application retains full custody of wallet keys on behalf of end-users. Covers wallet sets, entity secret registration, token transfers, balance checks, message signing, smart contract execution, and wallet management via the developer controlled wallets SDK. Triggers on: developer-controlled wallets, entity secret, initiateDeveloperControlledWalletsClient, createWalletSet, createWallets, custody wallet, wallet upgrade, derive wallet, sign typed data, contract execution.
Publication-figure overlay for draw.io. Use instead of drawio whenever the diagram is for a paper, thesis, dissertation, journal, conference, IEEE/ACM submission, manuscript, camera-ready, Word/LaTeX figure, or other publication. Applies venue, figure-type, color, caption/legend, formula, and paper-readability gates for architecture, workflow, roadmap, network-topology, and replicated paper figures.
Use when the user asks to “optimize entity presence,” reconcile an entity identity, or update canonical Knowledge Graph facts; audits and maintains machine-facing identity, sameAs, schema, disambiguation, and AI-recognition evidence through the entities registry. Not for page-level AI-citation readiness—use geo-content-optimizer; not for human-facing brand canon—use narrative-registry. Entity registry/knowledge graph
Content atomization — turn one piece of content into many formats. Covers blog-to-thread, blog-to-carousel, podcast-to-blog, video-to-quotes, and more. Use for: content marketing, social media, multi-platform distribution, content strategy. Triggers: content repurposing, repurpose content, content atomization, content recycling, one to many content, multi platform content, cross post, adapt content, reformat content, blog to thread, blog to video, podcast to blog, content multiplication
LinkedIn post writing with hook formulas, formatting rules, and engagement patterns. Covers post types, algorithm signals, character limits, and content pillars. Use for: LinkedIn posts, professional content, thought leadership, B2B content, personal branding. Triggers: linkedin post, linkedin content, linkedin writing, linkedin strategy, linkedin engagement, linkedin algorithm, linkedin hook, linkedin formatting, thought leadership, professional content, b2b content, linkedin growth
Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, structure trace review with open coding and axial coding, inspect datasets, review experiments, query annotation configs, and use the GraphQL API. Use whenever the user is analyzing traces or spans, investigating LLM/agent failures, deciding what to do after instrumenting an app, building failure taxonomies, choosing what evals to write, or asking "what's going wrong", "what kinds of mistakes", or "where do I focus" — even without naming a technique.
High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.
Skill for Skyline mini program JSON configuration conventions. Covers app.json global configuration (renderer, rendererOptions, componentFramework), page JSON configuration (navigationStyle, disableScroll), and project.config.json project configuration. Use when creating a new Skyline project, migrating a WebView project, or configuring hybrid rendering. Trigger keywords: app.json, page configuration, renderer, rendererOptions, Skyline configuration, navigationStyle, disableScroll, componentFramework, glass-easel, project.config.json.
Analyzes a single MLflow trace to answer a user query about it. Use when the user provides a trace ID and asks to debug, investigate, find issues, root-cause errors, understand behavior, or analyze quality. Triggers on "analyze this trace", "what went wrong with this trace", "debug trace", "investigate trace", "why did this trace fail", "root cause this trace".
Azure Cosmos DB performance optimization and best practices guidelines for NoSQL, partitioning, queries, SDK usage, and vector search. Use when writing, reviewing, or refactoring code that interacts with Azure Cosmos DB, designing data models, optimizing queries, or implementing high-performance database operations.
Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit across AI citability, platform analysis, technical infrastructure, content quality, and schema markup. Produces a composite GEO Score (0-100) with prioritized action plan.
Generate game assets using AI image generation APIs (DALL-E, Replicate, fal.ai) and prepare them for Godot. Covers the full art pipeline from concept art and style guides to final sprites, sprite sheets, and import configuration. This skill should be used when creating game art, generating sprites, making tilesets, creating UI elements, or preparing assets for Godot import. Keywords: game assets, AI art, DALL-E, Replicate, fal.ai, sprite sheet, tileset, Godot, pixel art, character sprite, game art, texture, animation frames.
The Instagram SEO / keyword-search skill -- IG-specific search depth, distinct from the cross-cutting social-seo. Use when someone wants an Instagram post/Reel to rank in search, needs IG keyword research, or wants a searchable caption/profile. Instagram shifted from hashtag-based discovery to keyword-based search (hashtags deprioritized to 3-5 topic labels). Search runs semantic analysis -> metadata matching -> visual recognition (checks alt text + visual MATCH the caption). Uses the MATCH framework. Reads brand-profile + the post's topic first. The agent researches the keyword cluster (never fabricates volume), writes the search-first caption (primary keyword first, no stuffing), specs on-screen text + spoken keyword, and advises profile fields/alt text. WoopSocial publishes the caption; profile fields, alt text, and IG Search/Insights stay native. No keyword stuffing; caption must match the visual. Distinct from social-seo, pinterest-seo, and hashtag-strategy.
Guides the agent through Ionic Vue development patterns — project structure, Vue-specific Ionic components (IonPage, IonRouterOutlet, IonTabs), navigation with Vue Router and useIonRouter, Ionic lifecycle hooks (onIonViewWillEnter, onIonViewDidEnter, onIonViewWillLeave, onIonViewDidLeave), composable utilities (useIonRouter, useBackButton, useKeyboard), tab-based routing, lazy loading, platform detection with isPlatform, and troubleshooting common Vue-specific issues. Do not use for general Ionic component theming or CLI usage (use ionic-app-development), creating a new Ionic app (use ionic-app-creation), Capacitor-specific Vue patterns without Ionic (use capacitor-vue), upgrading Ionic versions (use ionic-app-upgrades), or non-Vue frameworks like Angular or React.
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.
World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.
Use when the user asks for a viral hook or a task matching the examples below. Prepend a 4s viral hook and optional designed title to the user's video, then hard-cut into the real clip. An attention-grabbing event erupts into the user's OWN scene; the title is rendered in-scene by Seedance. One MCP call does the whole render. Requires Pika MCP. Triggers: "add a viral hook", "disruption hook on my video", "hook + title on my clip", "viral hook with typography", "scroll-stopper intro".
Starting point for any Dodo Payments integration, covering Merchant of Record basics, SDK installation and client setup, test and live environments, API keys, and the canonical checkout-to-webhook flow. Use when starting a new integration, initializing the dodopayments client, choosing an architecture, or unsure which Dodo Payments skill applies.
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.