Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Inspects and configures the web application firewall (WAF) in front of a Power Pages production site. Lists the current state, recommends enabling protection when it is off, and walks the user through adding, updating, or removing custom rules — IP blocks, country blocks, path blocks, and rate limits. Use when the user wants to turn on WAF, block traffic by IP or country, rate-limit login or signup pages, protect pages from brute-force attempts, restrict access to specific paths, review the current firewall configuration, or asks "is my site protected against bots / common web attacks?" — even if they say "add rate limit" or "protect login page" without mentioning "firewall" or "WAF".
Use when running a systematic review and meta-analysis, DTA or intervention. Covers PROSPERO protocol, search, screening, extraction, risk of bias (QUADAS-3, RoB 2, ROBINS-I), bivariate/HSROC or random-effects pooling, forest plots, heterogeneity and PRISMA reporting. Topic scouting is /ma-scout.
Migrate to Langfuse from another LLM observability/evals platform (LangSmith, Arize AX, Phoenix, Braintrust, Helicone, Promptfoo, ...). A one-off vendor switch: live tracing cutover plus transfer of historical traces, datasets, prompts, and evaluators. Not for anything Langfuse-to-Langfuse — SDK or version upgrades, project/region moves, self-hosted to Cloud — and not for moving in-code prompts into Langfuse; the main langfuse skill covers those.
Build reusable product-usage and engagement models — retention, stickiness, and lifecycle — on either PostHog data-warehouse views (HogQL) or an external dbt project. Use when the user wants to model, define, or compute whether users come back (retention / churn), how frequently they engage (stickiness / power users / DAU-WAU-MAU ratio), or the composition of the active base (new / returning / resurrecting / dormant lifecycle). These three are one engagement family sharing a start-event/return-event vocabulary and an interval granularity; this skill treats them together and helps pick the right lens: retention for the return-rate cohort matrix, stickiness for the frequency distribution, lifecycle for growth quality. On PostHog, model them in HogQL (mirroring query-retention / query-stickiness / query-lifecycle); in dbt, build fct_retention / fct_stickiness / fct_lifecycle marts with tests. Read modeling-warehouse-foundations first; feeds the retention validation used by modeling-activation-metrics.
Build reusable revenue models — MRR, ARR, gross revenue, new/expansion/contraction/churn, ARPU, LTV, and per-customer/per-account revenue — on either PostHog data-warehouse views (HogQL) or an external dbt project. Use when the user wants to model, define, or compute recurring revenue, monthly/annual recurring revenue, churn or retention of revenue, lifetime value, average revenue per user, or revenue by customer, cohort, product, or currency. On PostHog, build on the managed *_revenue_view views (revenue_item, mrr, customer, subscription, charge, product) fed by Stripe or custom revenue events — not raw Stripe tables — and normalize money with convertCurrency(). In dbt, stage the payment source and compute fct_mrr / fct_revenue_item / dim_customer marts with tests. Covers picking the right source, the subscription-config gotcha that leaves MRR empty, currency handling, and linking revenue to persons/groups. Read modeling-warehouse-foundations first for the view-vs-dbt mechanics.
Best practices for building integrations with NetBox REST and GraphQL APIs. Use when building NetBox API integrations, reviewing integration code, troubleshooting NetBox performance issues, planning automation architecture, writing scripts that interact with NetBox, using pynetbox, configuring Diode for data ingestion, or implementing NetBox webhooks.
Fetch trending programming models from OpenRouter rankings. Use when selecting models for multi-model review, updating model recommendations, or researching current AI coding trends. Provides model IDs, context windows, pricing, and usage statistics from the most recent week.
Optimise GitHub Actions for cost and speed. Reads the billed minutes and wall-clock time of every workflow and job from the GitHub API, finds the waste, and changes the workflows without dropping the checks that matter. Typical waste is main re-running suites the pull request already passed, path filters that match every PR, small matrix jobs, missing caches, draft pushes, Docker builds, Windows and macOS multipliers, hung jobs and bots. Use this whenever the user says CI is slow or expensive, is over their Actions quota or paying overage, wants to "reduce GitHub Actions minutes", "speed up CI" or "make CI cheaper", asks "why is our CI so expensive", or wants a CI audit. Use it even if they only point at one slow job or one workflow file.
Build and maintain Penpot components with COMPLETE variant matrices — sizes, hierarchies, and all interactive states (default/hover/pressed/focus/disabled) — fully tokenized and correctly named. Use to create a new component with variants, fill in missing states, or normalize an existing component. Triggers: 'create a Button component with variants', 'build component variants', 'add hover/pressed/disabled states', 'make a variant matrix', 'turn this into a component with sizes', 'normalize this component'.
Reviews and strengthens an existing implementation plan through adversarial rubber-duck dialogue. Scores completeness, feasibility, scope, testability, risk, and assumptions; asks one pointed question at a time; verifies checkable claims against local code and docs; and writes resolved answers back into the plan file until every dimension reaches 5/5. Use when asked to “review my plan”, “rubber duck this”, “stress test this plan”, “is this plan ready”, “challenge my plan”, “get this plan to 5/5”, “make this plan bulletproof”, “what am I missing”, “verify this”, “is this true”, “prove it”, “check this claim”, or “fact-check”, or before starting implementation on a non-trivial plan. For creating a plan from scratch, use plan-creator. For reviewing a code diff, use pr-reviewer.
Analyze any API for AI agent compatibility. Scans OpenAPI specs across 8 pillars (48 checks), scores agent-readiness 0-100, and provides prioritized fix recommendations. Use this skill when the user asks: “Is my API agent-ready?”, “Scan my API”, “Analyze my OpenAPI spec”, “What’s wrong with my API for AI agents?”, “How agent-friendly is my API?”, or wants to improve their API for AI consumption. Works with local specs and Postman collections via MCP.
Critical PowerShell changes, deprecations, and migrations for 2025. PROACTIVELY activate for: (1) PowerShell 7.5 GA changes, (2) PowerShell 7.6 preview features, (3) Windows PowerShell 5.1 deprecation timeline, (4) PSReadLine 2.4+ updates, (5) Az PowerShell 14.x breaking changes, (6) Microsoft.Graph migration from AzureAD/MSOnline modules, (7) PSResourceGet replacing PowerShellGet 2.x, (8) DSC v3 and migration from DSC v1/v2, (9) ExecutionPolicy and constrained language mode updates, (10) .NET 9/.NET 10 integration impact. Provides: deprecation timeline, breaking-change checklist, migration scripts (AzureAD to Microsoft.Graph), and PSResourceGet upgrade steps
Apple-level product design — visual systems, UX flows, accessibility, proprietary visual language, design tokens, prototyping, and handoff. Covers Figma, design systems, typography, color, spacing, motion design, and cognitive design principles.
Vercel Queues guidance — durable topics with at-least-once delivery, independent consumer groups, retries, delays, and idempotency keys via @vercel/queue (JS) or vercel-queue (Python). Use when deferring background work, buffering traffic, fanning out events, or choosing between Queues and Workflows.
Best practices for writing R package tests with testthat version 3+. Use this skill when writing or organizing tests for an R package or when improving existing tests that use testthat. It covers test structure and expectations, self-sufficient test design, proper cleanup with withr, fixtures, mocking external dependencies, snapshot testing, and BDD-style describe/it patterns
Expert system for designing, creating, and validating PCL skills with comprehensive domain knowledge extraction. Use when the user mentions skill creation, meta programming, domain modeling, knowledge engineering, or PCL development, or when the task involves Skill Design Principles, Skill Architecture Patterns, Quality & Validation, or Domain Analysis Template.
Search and monitor Reddit using x402-protected APIs. Use for searching Reddit posts and discussions, getting comments from Reddit threads, and social media monitoring and research. Triggers: "reddit", "subreddit", "reddit discussion", "what are people saying", "social media", "sentiment", "trending", "viral", "popular posts". Use `npx agentcash@latest fetch` for Reddit endpoints. Reddit $0.02/call. Important: Use exact endpoint paths from the Quick Reference table below.
Guide for working through a Jira story efficiently by separating context gathering, immutable evidence collection, codebase exploration, human-in-the-loop specification refinement, execution planning, and implementation. Use when turning a ticket into a reliable engineering workflow instead of jumping straight to code.
Comprehensive guide for implementing the Syncfusion React Calendar component with quick navigation, when-to-use guidance, and reference links for common tasks. Use this skill for copy-paste-ready examples and decision guidance for date selection UI in React applications.
Implement Syncfusion WPF CardView for card-based data display with grouping, sorting, filtering, and editing. Use this when implementing card panels, binding data with ItemsSource, or customizing card layouts in WPF. Covers CardViewItem population, GroupCards, CanSort, CanEdit, EditItemTemplate, HeaderTemplate, ItemTemplate, and SfSkinManager theming.
Comprehensive guide for implementing Syncfusion WPF Tabbed Window control that combines SfChromelessWindow with SfTabControl for document-based applications. Use this skill when implementing chromeless tabbed windows, browser-style tabs, document management windows, or Visual Studio-style tabs in WPF. Covers tear-off tabs, floating tab windows, tab merging between windows, drag-drop tab reordering, and MVVM tab binding scenarios.
Create and customize WPF time picker controls using Syncfusion's SfTimePicker component. Use this when implementing time selection UI, time input fields, or time value formatting. This skill covers SfTimePicker setup, time selector customization, value binding, and appearance styling in WPF applications.
Search the public web through Tavily and return structured results with URLs and snippets. Use when an agent needs current information, source discovery, link lookup, news or finance search, or a fallback for unavailable built-in web search. Do not use for private or authenticated pages.
Validate Three.js WebGPU/TSL implementations against falsifiable claims. Use for visual or mechanism correctness, temporal behavior, target performance or GPU attribution, resource ownership, and lifecycle stability.
Best practices for ISVs (Independent Software Vendors) building SMS features into multi-tenant SaaS platforms using Twilio. Covers customer onboarding for A2P and toll-free compliance, subaccount architecture, sender management, billing patterns, and common ISV pitfalls. Use when building SMS capabilities that your customers will use to message their end users.
Inspect Vercel projects, deployments, build logs and domains via the Vercel REST API. Use when the user mentions Vercel, a deployment that failed / is building, build or runtime logs, a preview URL, project domains, or wants to check / redeploy a Vercel project.
Turn a complete beginner's app idea into a buildable plan, then keep them oriented as they build. Use it when someone who has never coded wants to build or “vibe code” an app, has an idea but no idea where to start, or wants it turned into a plan, MVP scope, tech stack, user flows, or blueprint. It has three on-ramps: the full journey, a validate-only pass (“is my idea worth building”, “reality-check this idea”), and a plan-only path for someone arriving with validation done (“I already validated my idea”, “I have the research, just plan my MVP”, “skip the research”). Also use it when a non-coder needs build-time basics: what Git and GitHub are, making an account, “commit and push,” local vs. staging vs. production, putting an app online (deploy/ship), or keeping API keys safe. Use it in Checkup Mode when someone who built with AI says it became a mess, the AI keeps breaking things or going in circles, they're scared to touch their code, or they ask “is my code organized” or “can you clean it up.” Built for people who don't know what an API, database, or GitHub is, so use it even when they never say “plan” or “architecture.” Not for an experienced dev debugging, refactoring, or setting up CI/CD.
Use when the user gives a topic and wants an automated topic-driven narrated explainer, podcast, or knowledge-summary video (Bilibili / YouTube / Xiaohongshu / Douyin / WeChat Channels), or asks to learn visual design patterns from a reference video/image. Trigger when the user mentions creating a knowledge video, narrated explainer, video podcast, or animated infographic-style video from a topic — even if they don't say "video podcast" explicitly. Also trigger when the user wants to regenerate, re-render, rebuild, update, or iterate on a narrated video this skill already produced — e.g. they edited the script/prompt, changed the visuals, or swapped the background music and want the final video remade (reuse the existing videos/{name}/ directory, never start a new project). Do NOT trigger for generic video editing, trimming, format conversion, color grading, or non-narrative video tasks. Produces 4K video via research → script → TTS → Remotion → MP4 + BGM.
Send voice messages across chat channels (Telegram, Discord, Feishu/Lark, Signal, WhatsApp, and others) using edge-tts for text-to-speech and ffmpeg for audio conversion. IMPORTANT - Feishu/Lark does NOT support asVoice=true via the message tool; you MUST use this skill to send voice messages on Feishu, otherwise it will send a file attachment instead of a voice bubble. | 通过 edge-tts 文字转语音和 ffmpeg 音频转换，在各聊天渠道（Telegram、Discord、飞书、Signal、WhatsApp 等）发送语音消息。飞书不支持 message 工具的 asVoice=true，必须使用本 skill 才能发送语音气泡而非文件附件。
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.