Skills
99,448 packaged capabilities and playbooks for agents. Install any of them with one command.
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Analyzes an app's codebase and cross-references Google Search Console, PostHog, and Google Keyword Planner to identify low-competition keyword footholds and track expansion into adjacent terms. This skill should be used when the user says "keyword wedge", "find keyword opportunities", "seo analysis", "keyword strategy", "find search wedges", "keyword research for my app", "grow organic traffic", "what keywords should I target", "SEO for my app", "organic search strategy", or "how to rank higher". Generates markdown and HTML reports and maintains state across runs for expansion tracking.
Critique and improve landing pages for SaaS, apps, games, utilities, developer tools, marketplaces, and launches. Use when reviewing hero copy, positioning, proof, demos, CTAs, objections, social proof, SEO, conversion analytics, waitlists, product-led growth pages, or campaign landing pages.
Use before launch to audit SEO, schema, accessibility, performance, security, analytics, redirects, sitemap, robots, SSL, monitoring, rollback, and approval gates. Evidence-first; do not mark launch ready unless required checks ran or are explicitly skipped with rationale.
[Beta] CI-only learning aggregation workflow using gh-aw (GitHub Agentic Workflows). Scans .learnings/ files on a schedule, groups entries by pattern_key, identifies promotion-ready patterns, and posts a gap report as a PR or issue comment. Use when: you want automated cross-session pattern detection in CI/headless pipelines without interactive prompts. For interactive use, use learning-aggregator.
Structural feedback on legal writing drafts (memos, advocacy briefs, papers, bar exam essay answers) — organization, depth of analysis, clarity, citation format. Never ghostwrites or rewrites. Use when the user says "give feedback on my memo", "read my draft", or "critique my brief".
Build and maintain a data inventory (mapa de dados) of all personal data processing activities in the project. Use when the user asks “mapa de dados,” “data mapping LGPD,” “que dados pessoais coletamos,” or “inventário de tratamento,” or as part of an LGPD audit pipeline. Produces `.lgpd/data-map.md`. Especially important for legacy systems where the inventory is reverse-engineered from code (Prisma schemas, API endpoints, third-party SDKs, log statements)
Expert LinkedIn Ads strategist for B2B companies. Use when the user asks about LinkedIn advertising, LinkedIn campaign setup, LinkedIn ad targeting, LinkedIn bidding strategies, LinkedIn ad formats, LinkedIn retargeting, LinkedIn ABM campaigns, LinkedIn Thought Leader Ads, LinkedIn funnel architecture, LinkedIn ads measurement/attribution, LinkedIn ads troubleshooting, LinkedIn creative best practices, or any B2B paid social strategy involving LinkedIn. Also triggers on "LinkedIn campaign", "LinkedIn CPM", "LinkedIn CTR", "LinkedIn lead gen", "B2B ads", "demand gen on LinkedIn", "sponsored content", or "LinkedIn ads not working". Do NOT use for LinkedIn organic content/posting (use linkedin-content skill) or LinkedIn outbound messaging (use cold-email skill).
Discover top LinkedIn influencers and voices by topic, industry, follower count, and country. Use when you need to find the top 100 voices in a space, build influencer lists for outreach, or identify thought leaders on LinkedIn.
Deep concept anatomist that deconstructs any concept through 8 exploration dimensions (history, dialectics, phenomenology, linguistics, formalization, existentialism, aesthetics, meta-philosophy) and compresses insights into an epiphany. Use when user asks to explain, dissect, or deeply understand a concept, term, or idea. Produces org-mode output.
Plan and record evidence-backed LLM and AI-search citation checks across approved assistant/search surfaces with timestamped queries, locales, modes, cited URLs, snippets, screenshots or transcripts, and caveats. Use this skill when the user asks whether ChatGPT, Perplexity, Claude, Gemini, Copilot, or another assistant cites a target site, but do not claim citation without direct evidence.
Design human-visible, machine-readable website layers for AI assistants, RAG, and agentic search. Use this skill when the user asks for llms.txt, LLM discovery plans, visible TLDR or direct-answer blocks, source trails, entity pages, markdown alternates, AI crawler policy, topic-to-URL maps, assistant-readable public content, or LLM-friendly architecture that must preserve canonical SEO strategy without hidden bot-only facts or duplicate story bodies.
Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter. Models: Claude Opus 4.5, Claude Sonnet 4.5, Claude Haiku 4.5, Gemini 3 Pro, Kimi K2, GLM-4.6, Intellect 3. One API for all models with automatic fallback and cost optimization. Use for: AI assistants, code generation, reasoning, agents, chat, content generation. Triggers: claude api, openrouter, llm api, claude sonnet, claude opus, gemini api, kimi, language model, gpt alternative, anthropic api, ai model api, llm access, chat api, claude alternative, openai alternative
Use when the task involves a filesystem-based LLM Wiki or Obsidian vault, especially Ar9av/obsidian-wiki projects using .skills, .env, ~/.obsidian-wiki/config, AGENTS.md, .manifest.json, index.md/log.md/hot.md, ingest/query/lint workflows, or Russian prompts like "добавь в вики", "сделай ingest", "lint wiki", "обнови index/log", or "разложи по obsidian-wiki".
Generates and maintains a standards-compliant llms.txt file for any website — either by crawling the live site OR by reading the website's codebase directly. Use this skill when asked to create an llms.txt, add AI discoverability to a site, improve GEO (Generative Engine Optimization), make a website readable by AI agents, generate an llms-full.txt, check if a site has llms.txt, or audit a site's AI readiness for generative search. Trigger this skill any time a user mentions llms.txt, AI discoverability, LLM site readability, or wants their site to appear in AI-generated answers. Also trigger when the user is inside a website codebase and asks about SEO, AI readiness, or content structure.
Project Lombok for reducing Java boilerplate. Covers annotations for getters, setters, constructors, builders, logging, and more. Based on production patterns from castellino and gestionale-presenze projects. USE WHEN: user mentions "lombok", "@Data", "@Builder", "@Slf4j", asks about "boilerplate reduction", "getters/setters", "@RequiredArgsConstructor", "@Value" DO NOT USE FOR: Java language features - use `java` skill instead DO NOT USE FOR: MapStruct integration - use `mapstruct` skill DO NOT USE FOR: Spring annotations - use `backend-spring-boot` skill
Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use when processing long documents (32k-128k+ tokens), extending pre-trained models beyond original context limits, or implementing efficient positional encodings. Covers rotary embeddings, attention biases, interpolation methods, and extrapolation strategies for LLMs.
Enforce low Cognitive Complexity (SonarSource) and low Cyclomatic Complexity in ALL code written or modified, in any programming language, framework, or platform. This skill MUST activate automatically whenever code is being written, generated, modified, or refactored — no explicit trigger needed. Triggers include writing any function, method, class, module, script, handler, endpoint, test, or code block. Also triggers on "low complexity", "cognitive complexity", "cyclomatic complexity", "reduce complexity", "simplify code", "too complex", "refactor for readability", "clean code", "implement", "fix bug", "add feature", "generate test", "optimize", "rewrite", "scaffold".
Mainstream Spot Order v1.0 — Multi-chain DEX spot trading system. 6-signal ensemble (Momentum, EMA, RSI, MACD, BB, BTC Overlay) on 15m bars, 6 built-in pairs (SOL, ETH, BTC, BNB, AVAX, DOGE), auto-research strategy optimization, per-pair data collection + backtesting + paper/live trading. onchainos CLI driven, Agentic Wallet TEE signing, zero pip dependencies.
Generate a 5/10/15-second vertical UGC selfie video from a character sheet. Two modes: provide a script for a lip-synced talking-head (2-4 words/sec), OR provide scene_action for a non-speech clip (dancing, b-roll, vibes) with optional background_music and no dialogue. Subject is framed waist-up, hands free, TikTok aesthetic.
Creates blog posts, articles, whitepapers, case studies, ebooks, editorial calendars, and thought leadership content. Triggers for 'blog', 'article', 'whitepaper', 'case study', 'editorial calendar', or 'content strategy' — not landing page copy (use CRO).
When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions "psychology," "mental models," "cognitive bias," "persuasion," "behavioral science," "why people buy," "decision-making," or "consumer behavior." This skill provides 70+ mental models organized for marketing application.
Comprehensive guide to Material Design 3 components — from baseline Material You through M3 Expressive. Covers action, containment, communication, navigation, selection, and text input components with specifications, states, and implementation guidelines. Use this when building or styling UI components following Material Design 3 guidelines.
Analyze AMS waveform data using Mixed-Signal Blockset utilities: phase noise measurement, clock jitter, anti-aliased resampling, timing measurements, lock time, INL/DNL, ADC/DAC calibration, HSpice import. Use when analyzing time-domain voltage from PLL/VCO/clock simulations, measuring phase noise from variable-step solver output, computing jitter, or resampling non-uniform data.
Discover, configure, and connect to Arduino boards from MATLAB using the Arduino Support Package. Use this skill when the user wants to set up an Arduino board, connect to Arduino hardware, find connected boards, scan serial ports, configure Arduino libraries, or any task that requires an Arduino connection as a prerequisite (e.g., blink LED, read sensor, read digital pin, read analog pin, write pin, plot sensor data, scan I2C, use ultrasonic sensor, control servo, read temperature, read voltage, data logging from hardware). Triggers on: arduino, board setup, COM port, serial port, hardware connection, Arduino Nano, Arduino Uno, Arduino Mega, Arduino Micro, Grove, sensor setup, I2C scan, ultrasonic, servo, readDigitalPin, writeDigitalPin, readVoltage, writePWMVoltage, temperature sensor, air pressure, pin read, pin write, analog input.
Reference for MATLAB audiostreamer (Audio Toolbox R2025a+). Without this skill, agents consistently default to legacy audioDeviceWriter/audioDeviceReader or base MATLAB sound(), producing less capable code. Use when writing code for audio playback, recording, full-duplex device I/O, real-time audio measurements, or audio I/O processing with callbacks. Also use when debugging audiostreamer errors, dropouts, or latency issues, or migrating from audioDeviceReader, audioDeviceWriter, audioPlayerRecorder, or audioplayer/audiorecorder.
MatrixScan AR (Barcode AR, BarcodeAr) in web/browser (TypeScript/JavaScript) projects (@scandit/web-datacapture-barcode) — scanning multiple barcodes at once with AR overlays, highlights, and annotations on tracked barcodes. Use for integration, symbology configuration, highlight and annotation providers, session handling, migration from BarcodeBatch, or troubleshooting.
Read Mattermost messages from an exact link, including Band chat links (Band is a Mattermost fork), and prepare manual message publications. Use when the user gives an exact Mattermost or Band link to read or asks to prepare a message publication there. Never sends messages itself. Russian discovery terms: прочитать Mattermost, отправить сообщение Mattermost, прочитать бэнд, выгрузка из бэнда, бенд.
Guide for making .NET MAUI apps accessible — screen reader support via SemanticProperties, heading levels, AutomationProperties visibility control, programmatic focus and announcements, and platform-specific gotchas for TalkBack, VoiceOver, and Narrator. USE FOR: "add accessibility", "screen reader support", "SemanticProperties", "AutomationProperties", "TalkBack", "VoiceOver", "Narrator", "accessible MAUI", "heading levels", "semantic description", "announce to screen reader", "accessibility audit". DO NOT USE FOR: general UI layout (use maui-collectionview or maui-shell-navigation), animations (use maui-animations), or gestures (use maui-gestures).
Guidance for implementing tap, swipe, pan, pinch, drag-and-drop, and pointer gesture recognizers in .NET MAUI applications. Covers XAML and C# usage, combining gestures, and platform differences. USE FOR: "tap gesture", "swipe gesture", "pan gesture", "pinch gesture", "drag and drop", "pointer gesture", "gesture recognizer", "TapGestureRecognizer", "SwipeGestureRecognizer", "PanGestureRecognizer", "combine gestures". DO NOT USE FOR: animations triggered by gestures (use maui-animations), CollectionView swipe actions (use maui-collectionview), or custom drawing interaction (use maui-graphics-drawing).
Add local notifications to .NET MAUI apps on Android, iOS, and Mac Catalyst. Covers notification channels, permissions, scheduling, foreground/background handling, and DI registration. Works with XAML/MVVM, C# Markup, and MauiReactor. USE FOR: "local notification", "schedule notification", "notification channel", "notification permission", "reminder notification", "alert notification", "in-app notification", "foreground notification". DO NOT USE FOR: push notifications from a server (use maui-push-notifications), permission handling only (use maui-permissions), or app lifecycle background tasks (use maui-app-lifecycle).
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.