Skills
98,639 packaged capabilities and playbooks for agents. Install any of them with one command.
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Use when the user wants to plan a cold start, get first users, or launch a new product with zero traction. Also use when the user mentions “cold start,” “cold start problem,” “first users,” “seed users,” “finding users,” “finding early users,” “Fiverr Upwork,” “comment outreach,” “Twitter search users,” “product launch strategy,” “0 to 1 growth,” “early-stage acquisition,” “launch channels,” “get first customers,” “Product Hunt launch,” “AppSumo,” “LTD,” “indie hacker,” “bootstrapping,” or “solo founder.” For directory listing copy and submissions, use directory-submission. For Product Hunt day-of execution, use product-hunt-launch. For GTM motion design, use gtm-strategy.
Universal tariff calculator for Amazon sellers. Calculate import duties, landed costs, and VAT/GST for any trade route. Supports CN→US, CN→EU, US→EU, EU→US, US→CN and custom origin/destination pairs. Includes Section 301 tariffs, trade agreement rates (USMCA, EVFTA), and HS code lookup. No API key required.
Apply when designing or implementing HTTP endpoints exposed by a VTEX IO backend service. Covers route boundaries, handler structure, middleware composition, request validation, and response modeling for service.json routes. Use for webhook endpoints, partner integrations, callback APIs, or reviewing VTEX IO handlers that should expose explicit HTTP contracts.
Creates structured change proposals with specification deltas for new features, breaking changes, or architecture updates. Use when planning features, creating proposals, speccing changes, introducing new capabilities, or starting development workflows. Triggers include "openspec proposal", "create proposal", "plan change", "spec feature", "new capability", "add feature planning", "design spec".
Read and search GitHub repository documentation via gitmcp.io MCP service. **When to use:** The user provides a GitHub URL, mentions a specific repo in owner/repo format, asks “what does this repo do?”, “read the docs for X repo”, or similar, or wants to search code or docs within a repo.
SAP Cloud Application Programming Model (CAP) development skill using Capire documentation. Use when: building CAP applications, defining CDS models, implementing services, working with SAP HANA/SQLite/PostgreSQL databases, deploying to SAP BTP Cloud Foundry or Kyma, implementing Fiori UIs, handling authorization, multitenancy, or messaging. Covers CDL/CQL/CSN syntax, Node.js and Java runtimes, event handlers, OData services, and CAP plugins.
Best practices for Next.js 16 App Router performance, caching, server components, server actions, routing, and codebase hygiene — plus a category-major review/refactor algorithm that finds codebase-level removal, deduplication, and reuse opportunities. Use when writing Next.js 16 App Router code, configuring caching with 'use cache', building Server Components, setting up parallel/intercepting routes, configuring next.config.js or proxy.ts, or auditing/refactoring a Next.js codebase (a single file or the whole repo). This skill does not cover generic React 19 patterns (use the react skill) or non-Next.js server rendering.
Validate Agentforce for IT Service prerequisites for a Fulfiller or Employee agent using the Salesforce CLI (sf). This read-only prerequisite check reads the Salesforce Go feature toggles behind the Agentforce for IT Service setup page (Agentforce Studio, the IT Service Fulfiller Template / IT Service Employee Template, Specialized Agent Templates for Employee) via one Connect API call, then a helper script classifies the chosen path as READY / NOT-READY. It never enables anything; when a toggle is off, it hands off to agentforce-studio-configure to enable it. Use when asked to check Agentforce prerequisites, validate that the org is ready for an ITSM agent, or verify that Agentforce Studio is enabled. Triggers: check agentforce prerequisites, validate agentforce readiness, is my org ready for the fulfiller agent, verify agentforce studio enabled. DO NOT TRIGGER for enabling or turning on toggles, creating the fulfiller agent (service-itsm-agentic-setup-fulfiller-agent-configure), or CMDB CRUD.
Provides access to a collection of open-source molecular design and structural biology tools on the Tamarind Bio platform, via its REST API or MCP server — no local GPUs required. Tamarind bundles popular open-source models for structure prediction (AlphaFold, Boltz, Chai, ESMFold), protein, binder, and de novo design (RFdiffusion, ProteinMPNN, BoltzGen), antibody and nanobody design and developability, protein-ligand docking (DiffDock, Autodock Vina), binding-affinity prediction, MSA generation, and molecular dynamics. Use when the user mentions Tamarind or tamarind.bio, wants to run any of these open-source tools in the cloud, references app.tamarind.bio/api or the x-api-key header, or needs to submit batches of sequences for structural or biophysical characterization
Amazon deal planning and promotional strategy optimization. Lightning Deals, Best Deals, Coupons, Prime Exclusive Discounts analysis and ROI calculation. Deal eligibility assessment, timing optimization, and promotional campaign planning. Use when the user asks about Amazon deals, Lightning Deals, promotional planning, deal strategy, or Amazon promotions.
Multimodal AI-based image recognition and analysis. Trigger this skill when users want to analyze or describe images, extract information from image URLs, or ask about image recognition, image analysis, image description, image content understanding, OCR text recognition, or visual Q&A. Also trigger when users mention image recognition, image analysis, image description, identifying image content, analyzing product images, reading text from images, describing images, extracting visual content, or understanding photo content. If users provide an image URL and ask about its visual content, trigger this skill even if they do not explicitly say “image recognition”.
Write, review, or improve Swift APIs using Swift API Design Guidelines for naming, argument labels, documentation comments, terminology, and general conventions. Use when designing new APIs, refactoring existing interfaces, or reviewing API clarity and fluency
AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: you need to store successful patterns, search for similar solutions, semantically look up past work, learn from previous tasks, share knowledge between agents, or build a knowledge base. Skip when: no learning is needed, tasks are ephemeral and one-off, external data sources are available, or exploration is read-only.
Queries the 1000 Genomes Project dataset (3,202 whole-genome-sequenced individuals, GRCh38) at the level of individual participants. Use when a question is about individuals or variants in the 1000 Genomes Project cohort: which individuals carry variants matching specific criteria in a gene or region, which individuals are homozygous-reference at a position, which variants exist in the dataset or carried by specified individuals in a gene or region, the relatedness between two specified individuals. Variants are returned with 1000 Genomes allele frequencies (AF), gnomAD v4.1 exome and genome AF, AlphaMissense score, and HGVSp annotations
Amazon keyword rank tracking and performance analysis. Comprehensive ranking factor analysis, change diagnosis, improvement strategy development, and competitive position monitoring. Use when the user asks about keyword rankings, position tracking, ranking changes, or competitive analysis
Build and maintain a calendar of upcoming catalysts across a coverage universe — earnings dates, conferences, product launches, regulatory decisions, and macro events. Helps prioritize attention and position ahead of events. Triggers on "catalyst calendar", "upcoming events", "what's coming up", "earnings calendar", "event calendar", or "catalyst tracker"
Generate speech audio from text using HeyGen's Starfish TTS model. Use when: (1) generating standalone speech audio files from text, (2) converting text to speech with voice selection and speed control, (3) creating audio for voiceovers, narration, or podcasts, (4) working with HeyGen's /v3/voices endpoints, (5) listing available TTS voices by language or gender.
Use when writing or debugging State Tree logic in Unreal Engine C++ — tasks, conditions, evaluators, considerations, schemas, transitions, events or Mass behaviours. Also use when the user mentions 'StateTree', 'state tree', 'FStateTreeTaskBase', 'FStateTreeExecutionContext', 'GetInstanceDataType', 'FInstanceDataType', 'UStateTreeComponent', 'UStateTreeAIComponent', 'FStateTreeReference', 'SendStateTreeEvent', 'EStateTreeRunStatus', 'StateTree schema', 'utility selection', 'scheduled tick', 'FinishTask', or 'Mass StateTree'. For behaviour trees, perception and navigation, see ue-ai-navigation; for Mass processors and fragments, see ue-mass-entity; for USTRUCT basics, see ue-cpp-foundations.
Lets the model compose interfaces at runtime from a component vocabulary instead of one hand-written component per tool, and covers every generative UI pattern in the framework. Use for the model-driven present tool: JSONGenerativeUI, defaultGenerativeUILibrary, and present({ display }) from @assistant-ui/generative-ui/react, registered through AuiConfig({ tools: Tools({ toolkit }) }). Also covers the backend-driven MessagePrimitive.GenerativeUI primitive and its component allowlist, the Slack Block Kit and Microsoft Teams Adaptive Card renderers and their action decoders, A2UI surfaces over AG-UI, and the third-party OpenUI integration. Route here when the model should design its own layout rather than fill one you wrote, when an unknown _type or component name throws or silently renders nothing, or when a generative UI tree needs to post to Slack or Teams or paint an A2UI surface. For a widget tied to one tool call you already know about, use tool-ui in the tools skill instead.
Apply when deciding or implementing permissions and authorization boundaries for VTEX IO apps. Covers manifest policies, outbound-access rules, least-privilege design, and how service routes or integrations map to explicit permissions. Use for deciding who is authorized to call or consume a capability, adding new integrations, exposing protected routes, or reviewing app permissions for overreach or missing access.
Amazon Buy Box strategy and optimization framework. Eligibility factor analysis, competitive pricing strategies, FBA vs FBM impact assessment, seller performance optimization, and Buy Box winning tactics. Use when the user asks about Amazon Buy Box, winning Buy Box, Buy Box eligibility, or Buy Box optimization
TikTok Shop content creation strategy and planning. Trending formats, viral hooks, product showcasing, hashtag strategy, and content calendar development. Use when the user asks about TikTok content strategy, viral content creation, TikTok marketing, or content planning.
Apply when building VTEX IO admin-facing React interfaces under the admin builder. Covers VTEX Styleguide and Shoreline usage, admin page composition, data-heavy admin interactions, and keeping administrative interfaces consistent with the VTEX Admin environment. Use for settings pages, moderation tools, dashboards, or operational UIs inside VTEX Admin.
Apply when designing or implementing how a VTEX IO backend app integrates with VTEX services or external APIs through @vtex/api and @vtex/clients. Covers choosing the correct client type, registering clients in IOClients, configuring InstanceOptions, and consuming integrations through ctx.clients. Use for custom client design, VTEX Core Commerce integrations, or reviewing backend code that should use VTEX IO client patterns instead of raw HTTP libraries.
Evaluate and plan Amazon marketplace expansion across countries and regions. Use when a seller asks which Amazon marketplace to enter, how to compare international demand and economics, what tax, product-compliance, logistics, localization, account, or launch workstreams to investigate, or how to build a gated global-selling roadmap. Do not use as legal, tax, customs, or certification advice.
Use when the user wants to plan a go-to-market strategy, GTM framework, or market entry. Also use when the user mentions “GTM,” “go-to-market,” “market entry,” “new market,” “repositioning,” “PLG,” “sales-led,” “product-led,” “marketing-led,” “ICP,” “buyer persona,” “GTM motion,” or “market expansion.” For a launch checklist, use product-launch.
Amazon Sponsored Display campaign strategy and optimization. Audience targeting, retargeting campaigns, creative optimization, and performance management. Use when the user asks about Amazon display ads, audience targeting, retargeting, or Sponsored Display campaigns.
Use this skill whenever the user wants to create, customize, or troubleshoot G6 v5 graph or network visualizations. Triggers include any mention of “G6,” “antv g6,” “@antv/g6,” “G6 graph,” “G6 图,” “网络图,” “关系图,” “拓扑图,” “树形图,” “流程图,” “思维导图,” “鱼骨图,” “力导向图,” “force graph,” “network visualization,” “node-edge diagram,” “graph layout,” “tree layout,” “dagre layout,” “mindmap,” or “social network,” as well as requests about G6 node styles, edge types, behaviors, plugins, layouts, combos, or data structures. Also use it to debug G6 rendering errors, v4-to-v5 migrations, or graph interaction issues. Do NOT use it for G2 statistical charts, X6 editor diagrams, or S2 pivot tables.
This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key", "set up cloud sync in Cowork", or provides cmem.ai Connect values (sync token, user id, SyncHub URL) for this plugin. Configures the claude-mem-cowork plugin credentials.
Uses persistent markdown files for general planning, progress tracking, and knowledge storage (Manus-style workflow). Use for multi-step tasks, research projects, or general organization WITHOUT mentioning PRD. For PRD-specific work, use prd-planner skill instead.
Apply when deciding whether and how VTEX IO apps should use Master Data v2 for custom data. Covers entity boundaries, schema lifecycle, indexing strategy, and when Master Data is the right storage mechanism versus another data approach. Use for reviews, wishlists, forms, or other custom data modeling decisions in VTEX IO apps.
World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.
Resolve missing ITSM Intelligence invocable actions so a Fulfiller NGA agent can activate. Reads which of the three Core Fulfiller persona permsets (IncidentFulfiller, ProblemFulfillerPermSet, ChangeRequestFulfillerPermSet) are provisioned, then assigns the running user the selected persona (plus backing PSL when license-gated) so svc_itsm_intelligence__* actions surface; hands off to service-itsm-agentic-setup-agentforce-studio-validate if none are provisioned. Use when the Fulfiller agent-configure skill reports missing actions on activate, when 'Invocable action svc_itsm_intelligence__X does not exist' surfaces, when a user asks to grant themselves Fulfiller prompt-template access, when asked to assign the Incident, Problem, or Change Fulfiller persona permission set, or when resolving missing ITSM Intelligence action access for the Fulfiller agent. DO NOT TRIGGER for Employee-agent access, Agentforce for IT Service toggles, agent creation, CMDB access, or generic permset assignment.
Complex DAG testing workflows with debugging and fixing cycles. Use for multi-step testing requests like "test this dag and fix it if it fails", "test and debug", "run the pipeline and troubleshoot issues". For simple test requests ("test dag", "run dag"), the airflow entrypoint skill handles it directly. This skill is for iterative test-debug-fix cycles.
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.