Skills
97,725 packaged capabilities and playbooks for agents. Install any of them with one command.
All
@copilotkit/runtime — mount a fetch-native CopilotRuntime on any JS server, wire middleware, pick an AgentRunner, instantiate BuiltInAgent (Factory Mode with TanStack AI is the preferred default) or plug in any of 12 external agent frameworks (Mastra, LangGraph, CrewAI Crews/Flows, PydanticAI, ADK, LlamaIndex, Agno, AWS Strands, MS Agent Framework, AG2, A2A), enable Intelligence mode for durable threads + websocket, register server-side tools via defineTool, and wire voice transcription. Uses the fetch-based createCopilotRuntimeHandler primitive — the Express/Hono adapters are discouraged. Load the reference under references/ that matches your task.
Delegate a coding task to Oh My Pi (`omp`) as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to delegate implementation work to Oh My Pi / omp - phrasings like "have omp implement X", "delegate this to oh my pi", "run it through omp", "use oh-my-pi to implement/fix/refactor" - or wants to run a queue of coding tasks through omp while staying the reviewer. DO NOT USE for tasks small enough to do inline, when the user wants the code written directly without delegating, or when they mean the original Pi CLI (`pi`) — that is pi-delegate.
Workflow orchestration for complex coding tasks. Use for ANY non-trivial task (3+ steps or architectural decisions) to enforce planning, subagent strategy, self-improvement, verification, elegance, and autonomous bug fixing. Triggers: multi-step implementation, bug fixes, refactoring, architectural changes, or any task requiring structured execution.
This skill should be used when the user asks to "animate a headline", "make a kinetic typography video", "do a split-text reveal", "stagger text by character/word/line", "make a lyric or caption video", "animate a variable font weight", "put text on a path", or "create an animated title card". Covers reveal techniques in CSS, GSAP SplitText, Framer Motion, and Remotion.
Configures best-practice, high-signal alerting policies for Cloud Run resources on Google Cloud (services, jobs, and worker pools) based on seasoned SRE practices. Use when analyzing, recommending, writing, or deploying Terraform PromQL alerting policies to monitor Cloud Run error rates (4xx/5xx), request latency, container instance saturation (warning/critical), container CPU/memory utilization and allocation, billable instance time, job execution status, and worker pool queue backlog. Don't use for GKE workloads (use gke-alert-configuration) or Compute Engine VMs.
Calibrated grilling session for stress-testing a plan, design, idea, or decision. First assesses the user's topic knowledge, confidence, and desired pressure level, then asks one question at a time with recommended answers. Use when the user says "grill me", "stress-test this", "challenge my plan", "interview me", or wants a plan probed without being overwhelmed.
Design, improve, and review interfaces for websites, apps, admin panels, and components: explore design directions, generate side-by-side comparisons in multiple styles, and refine visual hierarchy using real screenshots. Deliver comparison pages, design notes, mockups, or runnable interfaces as requested. Handles design judgment only; not for pure business logic, API construction, code cleanup without UI changes, or routine edits where the change is fully specified (such as changing copy, adjusting quantities, removing specified elements, or reusing existing styles—even if described as “optimization”). If oil-ui-pro is installed, delegate to oil-ui-pro.
Use when adding CopilotKit to an existing project or bootstrapping a new CopilotKit project from scratch. Covers framework detection, package installation, runtime wiring (managed Intelligence or self-hosted SSE), provider setup, and first working chat integration.
Use when creating or maintaining OpenCLI site sitemaps: agent-facing navigation, page-state, action, workflow, API-reference, pitfall, and fallback knowledge for a website. Use after browser exploration discovers durable site context, when a sitemap is stale, or when promoting local site knowledge into the repo
Review and set up Capacitor apps against current best practices (Capacitor 8.5 stable, 9 alpha via `@next`). Use for a Capacitor codebase review, `capacitor.config.ts` audit, new project setup, aligning `@capacitor/core`/`cli`/`ios`/`android` and plugin majors, plugin patterns (availability checks, `checkPermissions`/`requestPermissions`, error `code` handling, web fallbacks), or release prep; or on `"<Plugin>" plugin is not implemented on ios`, `Could not find the web assets directory`, `platform has not been added yet`, a dev `server.url` shipped to production, lost edits in `android/app/src/main/assets/public`, SPM vs CocoaPods, or AppDelegate/UIScene drift. Do not use for security audits (capacitor-security), performance (capacitor-performance), tests (capacitor-testing), crashes (debugging-capacitor), major upgrades (capacitor-app-upgrades), SPM migration (cocoapods-to-spm), UIScene adoption (capacitor-uiscene-migration), or live updates (capgo-live-updates).
Compile articles, documents, or notes into a structured wiki knowledge base. Use when user says 'ingest to wiki', 'compile to knowledge base', 'update wiki', 'wiki ingest', 'add this to wiki', or invokes /wiki-ingest. Supports single or batch ingest. Triggers: wiki, ingest, knowledge base, compile, digest, index, catalog.
Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.
Optimize what selected Next.js client navigations include before the click under Partial Prefetching. Use after Cache Components and Partial Prefetching are adopted when the user wants selected URL-specific UI to be instant, wants reusable content to wait for navigation, or needs to choose between default, viewport, and intent prefetching. Requires Next.js 16.3+.
Designs inbound and conversational Sent flows — opt-out and opt-in keyword handling, consent state on contacts, auto-replies inside the WhatsApp 24-hour window, RCS STOP chips, conversation history retrieval, and per-channel inbound capability. Use when handling message.received events, implementing STOP or HELP behavior, restoring consent after an opt-out, building a support inbox or chatbot on Sent, or paginating conversation history.
Builds and debugs Sent v3 webhook receivers end to end — endpoint registration, HMAC signature verification, replay rejection, event dedupe, retry and auto-disable behavior, secret rotation, and delivery-log triage. Use when handling Sent webhook events, verifying x-webhook-signature, fixing 401 or signature-mismatch failures, recovering a disabled endpoint, choosing event_types or event_filters, rotating a signing secret, or interpreting the webhook delivery log.
Plans and executes a migration from Twilio, Sinch, Infobip, Vonage, or MessageBird/Bird to Sent v3 — mapping send calls, status vocabularies, webhook signature schemes, opt-out stores, templates, and tenancy models, then cutting over safely with dual-run and rollback. Use when replacing an incumbent CPaaS provider, translating provider code or webhook handlers to Sent, or planning a phased cutover and its verification gates.
Generate headcount, attrition, diversity, or org health reports. Use when pulling a headcount snapshot for leadership, analyzing turnover trends by team, preparing diversity representation metrics, or assessing span of control and flight risk across the org.
Stands up a production-ready Sent v3 integration in an existing codebase — SDK selection and client construction, x-api-key configuration, idempotent sends, retry and rate-limit handling, the 46-code error catalog, sandbox verification, and a verified webhook receiver. Use when adding Sent to an app for the first time, choosing an SDK or framework wiring, handling 429 or 409 responses, deciding what to log, or hardening an integration before launch.
Decides how a Sent message should reach the recipient — automatic routing versus a pinned channel, what the channel array actually does, how fallback and reroute work, and why a message ended as FAILED, FILTERED, BLOCKED, or channel "auto". Use when choosing the channel field, expecting WhatsApp-to-SMS fallback, debugging an unexpected route or duplicate charges from multiple channels, or interpreting message status and activity evidence.
Manage unified memory and thermals during long-running ML jobs on NVIDIA DGX Spark. Use when planning memory headroom for a training run on GB10, when a job OOMs on unified memory, or when monitoring temperature and power during multi-hour training.
Shrinking glTF assets for three.js with gltf-transform: inspect, validate and optimize commands, Draco, meshopt and quantization, KTX2, WebP and AVIF textures, the loader setup each output needs, and gltfjsx for React. Use when compressing, optimizing or validating 3D models before loading them.
Crypto wallet operations via the awal CLI — sign in, check balances, send USDC/ETH/POL/SOL, trade tokens, fund the wallet, and use the x402 payment protocol to discover paid services, pay for API calls, monetize an API, or query onchain data. Use whenever the user mentions signing in, login, authentication, wallet status, balance, address, sending money, paying someone, transferring tokens, ENS names, swapping/trading/converting tokens, funding/topping up/onramp, USDC, ETH, POL, SOL, the x402 bazaar, paid APIs, monetizing an endpoint, or querying onchain data on Base.
Lists, inspects, creates, updates, and deletes Sender Profiles through Sent MCP tools and executes the broader Sender Profile lifecycle over the API — creating profiles with the right inheritance, sharing, billing, and WhatsApp options, driving profile completion and its callback, managing 10DLC campaigns per profile, and administering users and roles. Use when calling POST /v3/profiles, handling a completion callback or unclear profile status, choosing inherit or dedicated resources, wiring per-tenant onboarding, or inviting and role-managing users.
Distributed traces, spans, service dependencies, and request flow analysis. Use when investigating span-level details, failures, performance bottlenecks, or trace correlation. Trigger: "trace analysis", "slow requests", "failed spans", "service dependencies", "distributed trace", "span details", "HTTP status codes in traces", "database query spans", "messaging spans", "gRPC calls", "Lambda cold starts", "trace ID lookup", "exception analysis", "correlate logs and traces", "request attributes". Do NOT use for explaining existing queries, product documentation or configuration questions, service-level RED metrics (use dt-obs-services), log searching (use dt-obs-logs), or problem analysis (use dt-obs-problems).
Run an ApexGuru performance scan on a Salesforce Apex project via the ApexGuru SFAP Scan API. Zips the project's Apex (any layout), submits it, polls to completion, decodes the base64 report, and presents performance antipattern violations (SOQL in loop, DML in loop, Schema.getGlobalDescribe(), SOQL without WHERE/LIMIT, unused SOQL fields) grouped by rule with severity, file:line, and suggested fixes — clearly attributed as 'Static only' or 'Production insights'. TRIGGER when the user says 'run ApexGuru', 'ApexGuru scan', 'check Apex performance', 'find governor-limit / performance antipatterns', 'SOQL in loop', 'scan my Apex for performance', or 'ApexGuru performance insights'. DO NOT TRIGGER for general static analysis or security scans (use dx-code-analyzer-run), for fixing code without scanning, or for onboarding an org to ApexGuru.
Validate and configure the local Salesforce development environment. Runs a prerequisite scan across required tools with per-tool status and offers to install or update missing items. Use when the user asks to 'check my setup', 'validate tools', 'verify prerequisites', 'am I set up correctly', or reports a tool is missing or not working. DO NOT TRIGGER for org auth (/salesforce-development:login), deployment problems (platform-metadata-deploy), or status checks (/salesforce-development:status).
Curated text animation catalog with exact JSON specs for headings, labels, counters, and text swaps. Use when an agent needs to pick or translate named effects like soft blur in, typewriter, shared axis, line reveal, stagger, crossfade, or kinetic builds into WAAPI, Motion, Framer Motion, GSAP, CSS, Lottie, Rive, or similar stacks
Turn company facts, brand inputs, and stakeholder goals into a polished company overview deck with clear positioning, proof, and contact-ready closure. Use when the user asks for a company deck, corporate overview, company profile presentation, or brand deck (not a fundraising pitch or sales proposal). Create company decks with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Build forms using @mantine/form. Use this skill when: (1) setting up a form with useForm, (2) adding validation rules, schema validation (zod, valibot, arktype) or async validation, (3) working with nested object or array fields, (4) sharing form state across components with createFormContext, (5) choosing between controlled and uncontrolled mode, (6) reading form values during render with form.useWatchValue, (7) using the standalone useField hook, or (8) any task involving useForm, getInputProps, onSubmit, insertListItem, or form validation.
Extend Pydantic AI agents with capabilities from pydantic-ai-harness — the Coder coding agent, file and shell tools in local or sandboxed workspaces (Modal, E2B, Sprites, smolvm), Code Mode, sub-agents and planning, memory and skills, context compaction, guardrails and spend limits, web research and browsers, hosted SaaS integrations, step persistence, and background agents on Render Workflows. Use when the user mentions pydantic-ai-harness or pydantic_ai_harness, imports a harness capability such as Coder, CodeMode, FileSystem, Shell, SubAgents, Memory, or ToolGuardrail, or wants a Pydantic AI agent that edits files, runs commands or agent-written Python, delegates, remembers, manages long context, stays within limits, or runs model and tool operations as chained Render task runs.
Facilitate a structured sprint retrospective — what went well, what didn't, and prioritized action items with owners and deadlines. Use when running a retrospective, reflecting on a sprint, creating action items from team feedback, or learning how to run effective retros
Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, hitting libcudart or wheel-ABI errors on aarch64, or choosing between NGC containers and bare pip installs.
Use this skill when the user asks to “add a glassmorphism effect”, “frosted glass UI”, “Apple liquid glass style”, “frosted blur card”, “translucent glass panel animation”, “make a frosted nav bar”, “build a glass modal/dialog”, “animate a glass card on hover”, or “add a refracting liquid-glass hero”. Covers frosted translucent panels with backdrop-filter blur, edge/specular highlights, SVG liquid-glass refraction, motion on hover/scroll/enter, and accessible reduced-transparency fallbacks.
Drafts engaging social media posts, writes hooks, suggests hashtags, creates thread structures, and generates companion images. Use when the user asks to write a LinkedIn post, tweet, Twitter/X thread, social media caption, social post, or repurpose content for social platforms.
Adds HTTP endpoints in convex/http.ts: webhook receivers with signature checks, REST style routes, CORS, auth headers, streaming responses, and file uploads over HTTP. Use when integrating Stripe, Clerk, Resend, or any service that calls back into the app, or when a client needs a plain HTTP API.
Service performance monitoring with RED metrics (Rate, Errors, Duration) and runtime-specific telemetry for Java, .NET, Node.js, Python, PHP, and Go. Use when analyzing service health, SLA compliance, or runtime issues. Trigger: "service response time", "error rate", "throughput", "SLA compliance", "service mesh overhead", "JVM GC", "Java heap", "Node.js event loop", ".NET CLR", "Python threads", "PHP OPcache", "Go goroutines", "service performance", "p95 latency", "request failures", "database response time by name". Do NOT use for explaining existing queries, product documentation questions, infrastructure metrics (use dt-obs-hosts), log analysis (use dt-obs-logs), or distributed tracing workflows (use dt-obs-tracing).
Analyze Stockbee-style Day 1 Episodic Pivot candidates from earnings, guidance raises, M&A, FDA/regulatory approvals, analyst actions, major contracts, product launches, short-squeeze catalysts, or theme/story events. Scores catalyst quality together with gap/range expansion, volume shock, neglect/revaluation context, liquidity, and risk to the EP-day low. Use when the user asks for EP candidates, episodic pivots, Day 1 catalyst trades, game-changing news reactions, delayed EP watchlists, or handoffs into PEAD monitoring.
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.