Skills
98,639 packaged capabilities and playbooks for agents. Install any of them with one command.
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Build, review, or refactor React UI components into shadcn-style compound components. Use when creating composable component APIs, splitting prop-heavy components into named parts, wrapping Radix/Base UI primitives, adding asChild/Slot behavior, designing data-slot styling hooks, or enforcing accessible source-owned component primitives.
Recommend, create, preview, and attach Coval trace-based metrics from OpenTelemetry spans. Use when a user has Coval traces and wants custom trace metrics, trace-aware LLM judge metrics with include_traces, latency, token usage, provider failures, tool behavior, vertical-specific workflow signals, or production monitoring based on trace attributes.
Read, search, and manage Confluence Cloud pages, spaces, blog posts, comments, attachments, and labels. Use this whenever the user wants to find a page, read a doc, search the wiki with CQL, create or update a page, add a comment, list pages in a space, pull an attachment, or ask "what does the wiki say about X" — even if they don't say "API". Also use it for any *.atlassian.net/wiki URL, or a CQL string when the context is wiki content rather than tickets. Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.
Review and improve product UX content including labels, instructions, errors, empty states, confirmations, terminology, and content timing. Use when a designer asks whether UI copy is clear, consistent, accessible, actionable, appropriately human, or aligned with the product's established language.
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
Build and maintain a global company context file that all other GTM skills read from. Captures product info, voice rules, ICP, win cases, proof library, campaign history, hypotheses, and DNC lists. Supports four modes: create (new context), update (append to existing), call recording capture (extract signals from transcripts), and feedback loop (import campaign results). Triggers on: "company context", "update context", "build context", "ICP", "win cases", "campaign history", "call recording", "feedback loop", "DNC list".
Manage Coolify self-hosted PaaS from the terminal. Multi-instance contexts, application lifecycle (deploy, logs, env sync), database provisioning with backups, service management, and CI/CD automation via JSON output. Use when: deploying apps via Coolify CLI, managing servers/databases/services, syncing environment variables, automating Coolify workflows, or troubleshooting "cannot unmarshal array", 404 on service env update, context authentication failures.
Implement Corrective RAG (CRAG) and Self-RAG for reliable, self-healing retrieval systems. Use this skill when building reliable RAG, preventing hallucinations, implementing retrieval evaluation, or adding self-correction to RAG pipelines. Activate when: corrective RAG, CRAG, self-RAG, hallucination prevention, retrieval evaluation, RAG reliability, self-healing RAG, document grading.
Expert guidance for writing C (C99/C11) and C++ (C++17) code for embedded systems and microcontrollers. Use this skill whenever the user is working with: STM32, ESP32, Arduino, PIC, AVR, nRF52, or any other MCU; FreeRTOS, Zephyr, ThreadX, or any RTOS; bare-metal firmware; hardware registers, DMA, interrupts, or memory-mapped I/O; memory pools, allocators, or fixed-size buffers; MISRA C or MISRA C++ compliance; smart pointers or RAII in embedded contexts; stack vs heap decisions; placement new; volatile correctness; alignment and struct packing; C99/C11 patterns; C and C++ interoperability; debugging firmware crashes, HardFaults, stack overflows, or heap corruption; firmware architecture decisions (superloop vs RTOS vs event-driven); low-power modes (WFI/WFE/sleep); CubeMX project setup; HAL vs LL driver selection; CI/CD for firmware; embedded code review; MPU configuration; watchdog strategies; safety-critical design (IEC 61508, SIL); peripheral protocol selection (UART/I2C/SPI/CAN); linker script memory placement; or C/C++ callback patterns. Also trigger on implicit cues like "my MCU keeps crashing", "writing firmware", "ISR safe", "embedded allocator", "no dynamic memory", "power consumption", "CubeMX regenerated my code", "which RTOS pattern should I use", "MPU fault", "watchdog keeps resetting", "which protocol should I use for my sensor", "ESP32 deep sleep", "PSRAM vs DRAM", "ESP32 heap keeps shrinking", "ESP.getFreeHeap()", "task stack overflow on ESP32", or "WiFi reconnect after deep sleep is slow".
Guides developers through creating a new merchant platform record via the Payroc Boarding API (POST /v1/merchant-platforms). Use this skill when the user wants to board a new merchant, onboard a merchant, register a merchant with Payroc, create a merchant account or merchant platform, implement the boarding flow, or work with the /v1/merchant-platforms endpoint. Also use when the user is building a boarding integration, asking how to submit merchant data to Payroc, generating a boarding request payload, asking about MID provisioning, merchant registration, owner/control-prong requirements, pricing agreements, or signature capture during boarding — even if they don't use the word "skill" or "boarding API" explicitly.
Create or update a pull request or merge request with rich reviewer context, or perform one durable PR lifecycle operation for a caller: open a draft, mark it ready, or request review. Handles branch creation, commits, pushes, provider binding, and labels. Use whenever creating or updating a PR/MR; callers such as player-coach can supply implementation journey and friction context.
Creates or reconciles GitHub child task issues or Jira subtasks from an approved Phase 4 task plan, then updates docs/<KEY>-tasks.md with validated remote linkage. Use after the task plan has been clarified and the user has approved the exact platform writes plus scoped plan-file update
Review and compare UX designs, flows, prototypes, specifications, or implementations against user goals, evidence, interaction behavior, accessibility, design-system fit, content, and engineering intent. Use when a designer asks for critique, comparison, tough feedback, review before approval, or wants to check whether implementation preserved the intended experience.
When the user wants to implement cross-docking operations, optimize transshipment, or reduce warehouse storage. Also use when the user mentions "crossdock," "transshipment," "flow-through distribution," "dock-to-dock," "consolidation center," or "break-bulk operations." For general warehouse design, see warehouse-design. For dock scheduling, see dock-door-assignment.
When the user wants to optimize cruise ship supply chains, manage ship provisioning, or improve maritime operations. Also use when the user mentions "cruise logistics," "ship provisioning," "maritime supply chain," "port operations," "cruise inventory," "galley management," "ship chandling," or "cruise procurement." For hotel operations, see hotel-inventory-management. For hospitality procurement, see hospitality-procurement.
Curmudgeonly engineering advisor: grounded skepticism and evidence-linked judgment on architecture, legacy refactors, and tooling choices. Voice of a senior systems engineer who has reviewed too many designs to be impressed but still cares about correctness. Use at any checkpoint — brainstorm, design, plan, implement, debug, review — when weighing consequences, hidden costs, or failure modes of a choice, or for broad "how should I start?" questions: "what will this cost us later?"
Query cryptocurrency quotes with CriptoYa by exchange and in aggregate form. Use when the user asks for "precio BTC en ARS", "cotizacion USDT", "precio ETH en USD", "mejor precio por exchange", "comparar exchanges", "precio en belo/ripio/lemon/binance/bybit", or when they ask about withdrawal commissions and per-network fees.
Measure and optimize customer service performance using CSAT, NPS, CES, First Contact Resolution, and text mining on support tickets. Use this skill when the user needs to evaluate CS team performance, identify top complaint drivers, optimize staffing, or build CS dashboards — even if they say 'is our CS team doing well', 'what are customers complaining about', 'how many agents do we need', or 'build a CS dashboard'.
Convert CSV files to professionally formatted Excel workbooks with Chinese character support, automatic formatting, and multi-sheet capabilities. Use when users need to: (1) Convert single CSV to Excel, (2) Combine multiple CSV files into one Excel with separate sheets, (3) Format CSV data with headers, borders, and auto-adjusted columns, (4) Handle Chinese or other non-ASCII characters in CSV files, or (5) Create professional Excel reports from CSV data.
CTF AI/ML attack techniques. Use when challenges involve AI model attacks, adversarial example generation, model extraction, prompt injection/jailbreaking, LoRA weight manipulation, LLM token smuggling, membership inference attacks, training data poisoning, or neural network analysis. Covers the full AI security attack/defense chain: FGSM/PGD/C&W adversarial attacks, model inversion, model weight perturbation and recovery, LLM toolchain hijacking, context window manipulation, and more
Search for threat intelligence, CVEs, malware analysis, breach reports, and security research across 300+ curated security domains (BleepingComputer, Hacker News, Krebs, Unit42, Talos, CISA, Mandiant, Rapid7, Securelist, etc.). Use this skill whenever the user asks to: research a CVE or vulnerability, find what security vendors are saying about a threat actor or malware family, search security blogs, look up threat intelligence on a topic, find recent breach or ransomware reports, collect CTI for a MITRE technique, or push research into NotebookLM. Triggers for phrases like "search security sources", "find threat intel on X", "what are vendors saying about Y", "research CVE-XXXX", "look up malware Z", "collect CTI", "push to NotebookLM", or any domain-scoped web research request in a security context.
Build and execute customer retention strategies for a solopreneur business. Use when reducing churn, improving customer lifetime value, building loyalty programs, re-engaging inactive users, or creating retention-focused product and communication strategies. Covers churn analysis, retention cohorts, lifecycle marketing, win-back campaigns, and loyalty mechanics. Trigger on "customer retention", "reduce churn", "keep customers", "improve retention", "churn rate", "customer loyalty", "win-back campaign".
For churned accounts, research what has changed since they left — new funding, team growth, competitor dissatisfaction, product updates that address their pain — then assess re-engagement potential and generate a personalized win-back email sequence with timing recommendations. Chains web research and LinkedIn monitoring with email sequence generation.
UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples
Dollar Cost Averaging (DCA) for Stacks DeFi — automate recurring buys or sells of any Bitflow token pair via direct swaps. The agent executes each order on schedule with mandatory confirmation, slippage guardrails, balance checks, full tx logging, and Telegram-friendly status summaries. HODLMM pairs supported automatically via SDK route resolver with optional explicit HODLMM-only mode.
Real DCF (Discounted Cash Flow) model creation for equity valuation. Retrieves financial data from SEC filings and analyst reports, builds comprehensive cash flow projections with proper WACC calculations, performs sensitivity analysis, and outputs professional Excel models with executive summaries. Use when users need to value a company using DCF methodology, request intrinsic value analysis, or ask for detailed financial modeling with growth projections and terminal value calculations.
Set up the Datadog Google Cloud integration with Terraform: creates a service account in the host project, lets Datadog's delegate principal impersonate it via roles/iam.serviceAccountTokenCreator (no service-account keys), enables the required APIs, grants the monitoring roles across the chosen projects and folders, and registers the account through datadog_integration_gcp_sts. Use when the user wants to monitor GCP resources such as Compute Engine, Cloud SQL, GKE, Cloud Run, or Pub/Sub, wants to connect a GCP project or folder or organization to Datadog, or asks to set up or repair the GCP integration. Does not set up log forwarding.
Set up the Datadog Oracle Cloud Infrastructure (OCI) integration with Terraform: verifies ~/.oci/config, then applies Datadog's official oracle-cloud-integration module to create the Datadog service user, group, IAM policies, and API key in the tenancy and register it with Datadog, optionally including log collection. Use when the user has Oracle Cloud resources, wants to monitor an OCI tenancy, wants to connect OCI to Datadog, or asks to set up or repair the OCI integration.
Recover or preserve consequential UX and architecture rationale. Use when a designer asks why something was designed a certain way, whether a choice deserves an ADR/design decision record, or wants to capture context, evidence, alternatives, rationale, consequences, and status without documenting trivial changes.
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.