Skills
99,951 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Create SVG-based technical diagrams inside HTML — flowcharts, sequence diagrams, state machines, data-flow diagrams, dependency graphs, request/response timelines. Use whenever the user wants to visualize, illustrate, diagram, or sketch a technical concept, system, or process. Strongly prefer SVG over ASCII art, mermaid blocks, or markdown text for anything spatial or relational. Reach for this whenever an explanation involves arrows, boxes, layers, or sequencing — even when the user doesn't say "diagram".
Run a thorough audit of an iOS / macOS Swift codebase—bugs, dead code, duplication, Swift concurrency issues, deprecated APIs, security, performance, and SwiftUI quality—and produce a single navigable CODE_AUDIT.md report with file:line-cited findings. Use when the user asks for a “code audit,” “comprehensive review,” “find tech debt,” “what should I clean up,” or a similar broad-scope assessment of a Swift project
Make a teaching diagram (usually SVG) for one idea, look at it, and fix it until the picture actually shows the claim. Use when the user runs /learn-visual or /skill:learn-visual, or asks for a figure, diagram, SVG, sketch, visualization, or picture of a concept being taught.
Graham cigar-butt (NCAV / net-net) single-stock diagnostic. Combines a 100-point static cheapness score (NCAV, PE, PB, dividend yield, debt coverage, earnings stability) with a dynamic adjustment layer (industry cycle, earnings trend, insider activity, NCAV trajectory) to separate real bargains from value traps. Pulls data from Longbridge CLI first; MCP fallback if CLI unavailable; falls back to WebSearch only for gaps, runs cross-statement reconciliation (勾稽校验) before scoring, and footnotes every figure to its source. Triggers: “格雷厄姆”, “捡烟蒂”, “烟蒂股”, “烟蒂投资”, “NCAV”, “净流动资产”, “清算价值”, “安全边际”, “价值陷阱”, “深度价值”, “撿煙蒂”, “煙蒂股”, “煙蒂投資”, “淨流動資產”, “清算價值”, “安全邊際”, “價值陷阱”, “深度價值”, “Graham”, “cigar butt”, “net-net”, “liquidation value”, “value trap”, “margin of safety”, “deep value”, “Benjamin Graham”.
An AI-native skill for parsing PDF, Office, and image files into clean Markdown with MinerU, a fast, zero-config document parser for AI agents. Works with NO token via the lightweight Agent API and auto-upgrades to the Standard API (token) for large files, batches, and DOCX/HTML/LaTeX export. Use when: (1) Converting PDF/Word/PPT/Excel/image to Markdown, (2) Extracting text, tables, formulas, or running OCR on scanned documents, (3) Batch-parsing a folder in parallel, (4) Piping parsed Markdown straight back to an agent or into Obsidian
Help founders and marketers nail their positioning. Use when someone mentions "positioning," "value proposition," "who is this for," "how do I describe my product," "messaging," "ICP," "ideal customer," or is struggling to articulate what makes their product different.
Identify the leading, core, follower, and lagging stocks in popular themes; determine which are most worth tracking first; and report the theme stage, catalyst chain, and risk alerts. Suitable for theme-rotation stock selection, hot-topic reviews, and identifying a sector's main trend.
Coordinates cross-platform weapp-tailwindcss tasks and provides the current security baseline. Use when the user asks generally about weapp-tailwindcss, Tailwind CSS in mini-programs, Web CLI, React Native, or ReactLynx, or has not yet specified whether they need integration, migration, troubleshooting, runtime, custom builds, or native cross-platform integration. Route specific tasks to the corresponding dedicated skill first.
Build accessible web applications following WCAG guidelines. Use when implementing ARIA patterns, keyboard navigation, screen reader support, or ensuring accessibility compliance. Triggers: accessibility, a11y, WCAG, ARIA, screen reader, keyboard navigation
When the user wants to improve their ability to craft compelling emails, proposals, and follow-ups in sales. Also use when the user mentions "writing emails," "sales proposals," "follow-up messages," "written pitches," "professional communication," or "email copy."
Author ZModel (.zmodel) data schemas for ZenStack V3. Use when defining models, fields, field/model attributes, relations (1-1, 1-many, many-many, self), enums, custom types & mixins, polymorphic models (@@delegate), strongly-typed JSON fields, or computed fields.
When the user wants to improve their questioning technique in sales conversations, uncover pain points, understand budget, timeline, or decision-making process. Also use when the user mentions "discovery questions," "qualifying questions," "SPIN selling," "uncovering needs," or "better questions."
Expert Celery distributed task queue engineer specializing in async task processing, workflow orchestration, broker configuration (Redis/RabbitMQ), Celery Beat scheduling, and production monitoring. Deep expertise in task patterns (chains, groups, chords), retries, rate limiting, Flower monitoring, and security best practices. Use when designing distributed task systems, implementing background job processing, building workflow orchestration, or optimizing task queue performance.
Generate clinical trial protocols for medical devices or drugs. This skill should be used when users say "Create a clinical trial protocol", "Generate protocol for [device/drug]", "Help me design a clinical study", "Research similar trials for [intervention]", or when developing FDA submission documentation for investigational products.
Configures Cloud Monitoring alerting policies using Terraform and PromQL across Cloud Run, Google Kubernetes Engine (GKE), Compute Engine, AI Hypercomputer reservations, Vertex AI Agent Engine, and generic Google Cloud resources. Use when creating, reviewing, migrating, or deduplicating Terraform alerting policies for latency, traffic, error rates, saturation, host or reservation maintenance, GPU XID insights, or AI agent telemetry. Don't use for standalone PromQL query authoring without alerting, log querying, or billing cost audits.
This skill should be used for improving context efficiency: context budgeting, observation masking, prefix or KV-cache strategy, partitioning, token-cost reduction, retrieval scoping, and extending effective context capacity without lowering answer quality.
Plan optional Defuddle extraction and retain already available local source files through reviewed filesystem capture. Use for defuddle, clean this URL, strip page clutter, readable Markdown from a web page, or preparing a web source for later wiki ingestion. Network extraction remains unavailable until an enforcing adapter is verified.
World-class landing page expertise combining conversion rate optimization science, persuasive design psychology, and the craft of pages that turn visitors into customers. Landing pages are where marketing meets reality—the moment of truth where visitors decide. Great landing pages aren't just pretty—they're conversion machines. The best landing page designers understand that every element must earn its place, that friction is the enemy, and that the goal isn't to impress—it's to convert. Speed, clarity, and persuasion in perfect balance. Use when "landing page, conversion page, lead capture, signup page, pricing page, hero section, above the fold, CTA design, conversion rate, page optimization, lead gen page, squeeze page, sales page, landing-pages, conversion, CRO, design, optimization, lead-generation, signups, forms" mentioned.
Full API lifecycle management through Postman. Sync OpenAPI specs to collections, generate typed client code, run API tests, create mock servers, publish documentation, audit security against OWASP Top 10, and discover APIs across workspaces. Requires the Postman MCP Server. Use this skill when the user mentions Postman, API collections, syncing specs, generating SDKs, running API tests, creating mocks, API documentation, or API security audits. Triggers on tasks involving API development workflows, collection management, or any Postman-related operations.
Authors and validates render.yaml Blueprints for Render infrastructure. Use when the user needs to write or edit a render.yaml, wire services together with fromDatabase/fromService/fromGroup, set up projects and environments for multi-service apps, configure preview environments, validate against the schema, or fix immutable field errors. Trigger terms: render.yaml, Blueprint, IaC, fromDatabase, fromService, envVarGroups, previews, projects, environments
Use when the user forgot something or wants to add, remove, correct, or change a request in an existing spec that has already been defined, planned, is being implemented, or has been completed. Also use when an automatic transition detects a late change in behavior, scope, acceptance, data, security, or plan. Updates the normative source, invalidates only affected gates, and coordinates resumption; to create the initial spec, use specsfy-03-specify; to resolve an ambiguity, use specsfy-02-backlog; to implement, use specsfy-07-implement.
Use SurrealDB from JavaScript and TypeScript with the official surrealdb SDK, covering connecting (WebSocket/HTTP and embedded engines), authentication, CRUD, parameterized queries, and live queries. Use when connecting to SurrealDB from Node, Deno, Bun, or the browser, using the surrealdb npm package, or performing CRUD and real-time operations from JS/TS code. Triggers: surrealdb JS, surrealdb.js, new Surreal(), db.query, db.create, db.live, TypeScript SDK, npm i surrealdb.
Use when the user asks about WordPress codebases (plugins, themes, block themes, Gutenberg blocks, WP core checkouts) and you need to quickly classify the repo and route to the correct workflow/skill (blocks, theme.json, REST API, WP-CLI, performance, security, testing, release packaging).
Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.
Validate test effectiveness with mutation testing using Stryker (TypeScript/JavaScript with Vitest or bun test via @hughescr/stryker-bun-runner) and mutmut (Python). Find weak tests that pass despite code mutations. Use to improve test quality.
Performance benchmarking expertise for shell tools, covering benchmark design, statistical analysis (min/max/mean/median/stddev), performance targets (<100ms, >90% hit rate), workspace generation, and comprehensive reporting
A skill for performing web searches, research, and reasoning using the Perplexity API. Handles real-time web information retrieval, deep research analysis, and advanced reasoning tasks. Use when the user asks for web searches, research, or says things like "look up", "search for", "latest information", "research", or "analyze".
Build product marketing strategy including positioning, messaging, and go-to-market. Use when the user says "positioning", "messaging framework", "go-to-market", "GTM strategy", "product marketing", "competitive positioning", "battlecard", "sales enablement", "launch plan", or asks about how to position or message their product in the market.
Advanced Python unit testing framework for customer support tech enablement, covering FastAPI, SQLAlchemy, PostgreSQL, async operations, mocking, fixtures, parametrization, coverage, and comprehensive testing strategies for backend support systems
When you want to read and extract structured notes from a book — PDF, EPUB, MOBI, markdown, .txt, pasted text, or URL to a public-domain work. Reads in chunks (by chapter when a TOC exists, by 50-page blocks otherwise), extracts per-chapter TL;DR + key concepts + quotes + action items + frameworks, and offers to capture to second-brain raw/ as a highlights- file. Four modes — notes (default, chapter-by-chapter), summary (whole-book TL;DR + 3–5 takeaways), quotes (pull-quote highlights only), study (notes + Q&A spaced-rep prep). Triggers on "/read-book," "read this book," "extract notes from this PDF," "what's in this book," "summarize this ebook," "pull quotes from this." Sibling to watch-video (same content-consumption pattern, different medium)
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.