Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Publish and manage LinkedIn content via Hyper MCP: text posts, article and link previews, document and PDF posts, organization (company page) posts, and AI-generated text-to-carousel posts. Use when the user wants to post on LinkedIn, share an article, post to a LinkedIn company page, upload a PDF or document, or create a LinkedIn carousel from text.
Deep knowledge of Apple's Liquid Glass design system (iOS 26+/macOS 26+): .glassEffect() modifier, .buttonStyle(.glass), GlassEffectContainer, platform-specific implementations, migration from existing apps, and common pitfalls with tested solutions.
Feature engineering for marketplace recommenders — what to extract from raw marketplace assets (listing photos, owner-entered listing metadata, sitter wizard responses) to power item-to-item (similar listings), user-to-item (homefeed ranking), or user-to-user (mutual-fit matching) recommenders. Covers asset auditing, first-principles feature decomposition, vision-feature extraction (CLIP, room-type, amenities, aesthetics), listing text and metadata encoding, sitter wizard design, derived-composition patterns for i2i / u2i / u2u (ANN shelves, two-tower, mutual-fit), feature quality governance (training-serving parity, drift, PII), and incremental value proof (ablation A/B, kill reviews, feature-free baseline). Trigger even when the user does not explicitly say "feature engineering" but is asking how to get more signal out of listing photos, listing metadata, or the sitter onboarding wizard, or how to improve i2i / u2i / u2u quality without blindly ingesting a new model.
Provider-independent media quality control and delivery direction for generated images, video, audio, ads, product content, social clips, broadcast and streaming assets, localization packages, and mixed-source edits. Use when an agent must define final export specs, inspect technical and perceptual quality, check captions/audio/color/accessibility/provenance/rights, create delivery sheets, version filenames, checksums, manifests, package deliverables, set acceptance or rejection criteria, and perform final delivery QA before handoff to a platform, broadcaster, streamer, client, or ad trafficker.
Production pipeline for interactive and generative visual art using p5.js. Covers 2D/3D rendering, noise and particle systems, flow fields, GLSL shaders, pixel manipulation, kinetic typography, WebGL, and audio-reactive visuals, with headless export to HTML, PNG, GIF, MP4 or SVG. From NousResearch's Hermes agent.
Patent prior-art search and novelty check guidance focused on China and the United States (CNIPA, USPTO, Google Patents, WIPO). Use when asked to plan or run CN/US patent searches, draft search strategies, or produce a preliminary novelty search report.
Identify computational bottlenecks, analyze parallel scaling, estimate memory requirements, and generate optimization recommendations for materials simulations — parse timing logs to find dominant phases (solver, assembly, I/O), evaluate strong and weak scaling efficiency, profile memory from mesh and field parameters, and detect bottlenecks with actionable fix suggestions. Use when a simulation is slower than expected, investigating MPI scaling efficiency, planning HPC resource allocation, deciding whether to tune the preconditioner or reduce I/O frequency, or estimating whether a problem fits in available RAM, even if the user only says “my simulation is too slow” or “how many nodes do I need”
Plan and create Pinterest Ads campaigns through the Hyper MCP — Awareness, Consideration, Video View, Web Conversion, Catalog Sales, and Web Sessions objectives — with strict microcurrency budgeting, CBO rules, audience and customer-list management, conversion tag handling, keyword targeting, and campaign analytics. Use when the user mentions Pinterest ads, Pinterest campaign, Pinterest ad group, Pinterest audience, Pinterest conversion tracking, Pinterest tag, or Pinterest customer list
Expert patterns for Plaid API integration including Link token flows, transactions sync, identity verification, Auth for ACH, balance checks, webhook handling, and fintech compliance best practices. Use when: plaid, bank account linking, bank connection, ach, account aggregation.
Evaluate and respond to inbound PostHog sales leads from Salesforce. Use this skill when any PostHog TAE needs to triage an inbound lead — deciding whether to qualify for a call, route to self-serve, or disqualify — and then draft an appropriate response email. Checks Vitally for existing account context before qualifying. Triggers on "respond to this lead", "triage this inbound", "write a response to this lead", "disposition this lead", "evaluate this Salesforce lead", or any request involving an inbound sales inquiry that needs qualification and a reply. Also trigger when a TAE pastes or describes lead details and asks what to do with them.
Expert product analytics strategist for SaaS and digital products. Use when designing product metrics frameworks, funnel analysis, cohort retention, feature adoption tracking, A/B testing, experimentation design, data instrumentation, or product dashboards. Covers AARRR, HEART, behavioral analytics, and impact measurement.
Expert-level Prometheus monitoring, metrics collection, PromQL queries, alerting, and production operations. Use when the user mentions monitoring, metrics, observability, alerting, or PromQL, or when the task involves Prometheus Architecture, Installation on Kubernetes, ServiceMonitor, or PromQL Queries.
Query the Pulumi Context API, a graph query interface over an organization's infrastructure in Pulumi Cloud. Use when a question is about relationships or reachability across resources and stacks: the impact of a change ("what breaks if I change this?", blast radius), what depends on a resource or a stack's outputs, which provider instances manage which resources and at what versions, orphaned or unreferenced resources, or references that cross stacks and cloud accounts, including resources Pulumi doesn't manage. Don't load it for finding a single resource by name, type, or property (Resource Search covers that), or for update history and failure debugging (use skill `pulumi-debug-failed-operation`).
Reads, searches and exports local OpenAI Codex history without continuing work: session inventory, timelines, verbatim user input, indexed search, and rollout identity/fork lineage. Use when the user asks what they told Codex, wants a Session ID, or evidence of what a run did. Not for Claude Code (use read-claude-code-history); with no platform named, start at local-conversation-history.
Generate food and beverage video prompts for Seedance 2.0 (Higgsfield). Use when the user wants food videos, recipe content, restaurant promos, beverage ads, cooking videos, food ASMR, menu showcases, food delivery ads, café content, or any food/beverage video. Triggers include food videos, recipes, cooking, restaurants, beverages, food ads, food ASMR, menus, cafés, cocktails, food photography videos, appetite appeal, food styling, food livestreams, or any food/beverage video request. This also applies to requests such as “make my food look delicious” or “restaurant promo video”.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
Use this skill when the user asks about “Server Actions,” “form handling in Next.js,” “mutations,” “useFormState,” “useFormStatus,” “revalidatePath,” or “revalidateTag,” or needs guidance on data mutations and form submissions in Next.js App Router
Sinch SDK installation and client initialization for Node.js, Python, Java, and .NET. Use when installing a Sinch SDK, initializing SinchClient, setting up SDK credentials, configuring conversation region in SDK, or building a multi-product SDK client. For In-App Calling SDKs, see sinch-in-app-calling.
Interactive discovery and implementation workflow that gathers requirements through picker-based questions (intent, scope, constraints, preferences), scans the codebase for what it can already infer, then writes an AWS architectural scaffold and implementation directly into the project. Use when the user wants to build a new app, scaffold a project, or expand/refactor an existing one on AWS — anything that calls for a structured discovery flow followed by code changes, not a one-off lookup. Do not use for: factual lookups about AWS Activate / programs / credits, requests for a single copy-paste prompt, non-AWS architectural work, architecture advice/recommendations without code changes (see architect-for-startups), a new idea centered on an AI agent — runtime selection, agentic architecture, or an agent POC (see agent-advisor), or migrating an existing GCP/Azure/Heroku workload or an LLM SDK rewrite (see gcp-to-aws / azure-to-aws / heroku-to-aws / llm-to-bedrock).
Maintains a repo-local task forest or task DAG for the current workspace. Use when the user asks to initialize or update a task forest, close a session, summarize evolving project work, align a request with a global goal, track progress/history/deviations/todos, save or apply a task proposal, or export the client-readable task-forest HTML. Do not use for executing the tracked tasks themselves or for generic HTML work.
Use when a Telegram job needs a user account, not a bot token: history a bot cannot see, acting as a person, bulk export over MTProto, and the ban risk. Not for bots (telegram-bots) or Mini Apps (telegram-miniapps). Opt out: no telegram, без телеграма. Triggers - "telethon", "userbot", "юзербот".
Battle-tested testing best practices for AI coding assistants (40+ rules). Use when writing, reviewing, or generating tests. Covers test structure, data factories, assertions, mocking, DOM testing, and database testing. Works with Vitest, Jest, Playwright, Testing Library, Storybook, and more.
MUST be loaded before any UI Integration Cards (also called UI5 Integration Cards) task—including creating, modifying, validating, previewing, or reviewing a card, its `manifest.json`, its Configuration Editor (`dt/Configuration.js`), or any analytical chart configuration. Provides official guidelines, validation rules, supported chart types, and Configuration Editor patterns.
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.