Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Expert collection-loop systems for collectible IDs, scavenger hunts, completion archives, nearest-item compass UI, hidden spawners, and persistent find-all-X progress. Use when implementing collectibles, scavenger hunts, completion% archives, or compass-guided item hunts. Keywords: collectible_id, scavenger_hunt, collection_manager, collection_compass, completion_archive, hidden_item_spawner, find_all, collectible_item.
Expert blueprint for Metroidvanias including ability-gated exploration (locks/keys), interconnected world design (backtracking with shortcuts), persistent state tracking (collectibles, boss defeats), room transitions (seamless loading), map systems (grid-based revelation), and ability versatility (combat + traversal). Use for exploration platformers or action-adventure games. Trigger keywords: metroidvania, ability_gating, interconnected_world, backtracking, map_system, persistent_state, room_transition, soft_locks.
Opinionated SwiftUI navigation enforcement for iOS 26 / Swift 6.2 clinic modular MVVM-C apps. Enforces Domain coordinator protocols, App-target `DependencyContainer` + concrete coordinators + route shells, `NavigationPath` ownership, coordinator-owned modal state, deep-link/state-restoration readiness, and stale-while-revalidate/optimistic queued flow compatibility. Use when designing or refactoring clinic navigation flows.
Original prompt for life design. Based on Stanford's Life Design method, use when the user wants to understand their current position, distinguish gravity problems from genuinely designable problems, or plan the next five years. This is a multi-turn in-depth conversation with six to nine main questions. It ends with a personal life-design blueprint of 8,000–12,000 Chinese characters and three Odyssey Plans.
Run a full McKinsey-level market research and strategy analysis using 12 specialized prompts. Use when: market research, competitive analysis, business strategy, TAM analysis; customer personas, pricing strategy, go-to-market plan, financial modeling; risk assessment, SWOT analysis, market entry strategy, comprehensive business analysis; or Arabic requests such as بحث سوق, تحليل استراتيجي, تحليل منافسين, دراسة جدوى, خطة عمل, “حلل لي السوق” for business entry or investment decisions. Do not use when: the user wants a quick opinion on a business idea (just answer directly); product recommendations or shopping (use personal-shopper); content strategy for social media (use viral-equation); simple web search for company info (use web_search directly); comparing products to buy (use personal-shopper); briefly analyzing a single competitor (just answer directly). Edge cases: “حلل لي السوق” for a specific product to buy → personal-shopper, not this skill; for business entry → this skill. “وش أفضل منتج” → personal-shopper. “وش حجم سوق X” → this skill. “قارن لي بين منتجين” → personal-shopper. “قارن لي بين شركتين” as competitors → this skill. “دراسة جدوى مشروع” → this skill. “أبغى أفتح مشروع” → this skill (full analysis). “أبغى أشتري لابتوب” → personal-shopper (purchase, not business). Inputs: business description, industry, target customer, geography, financials (optional). Tools: sessions_spawn (sub-agents), web_search, web_fetch. Output: complete strategy report saved to artifacts/research/{date}-{slug}.html. Success: the user gets 12 consulting-grade analyses synthesized into one actionable report.
Original prompt for a minimum experiment. Use when more thinking will not clarify what the user is struggling with and real-world feedback is needed to test it. Trigger phrases include minimum experiment, try it first, how to validate, stop speculating, run an experiment, low-cost trial and error, validate in seven days, have gone back and forth many times, and still can't choose after thinking for a long time. Provide the hypothesis to test, a complete design for a low-cost, reversible experiment, and the first action they can take tomorrow.
Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts. Use when the user asks about Nature data availability, research data sharing, repository selection, accession numbers, restricted or sensitive data, source data, supplementary datasets, DataCite-style dataset references, FAIR metadata for academic publication, or Chinese-to-English data availability wording for Chinese-speaking authors preparing Nature-family submissions.
Build and operate multi-tenant AI agent platforms on Neon. Use this skill whenever the user is designing an agent/app builder, provisioning a Neon project or database per user/app/agent run, managing thousands of tenant projects, separating sponsored free users from paid customers, moving projects between orgs, choosing `@neon/sdk` vs `@neon/tools`, choosing personal vs organization vs project-scoped API keys, tracking fleet consumption or Agent Plan costs, configuring scale to zero (`suspend_timeout_seconds`) for tenant databases, creating compound checkpoints that combine DB snapshots with source revisions/secrets/deploy metadata, or orchestrating snapshot/restore flows for generated apps. Also use it for Neon Agent Program, Agent Plan, org/project limits, HIPAA, co-marketing, support, or neondatabase/neon-for-agent-platforms examples.
Complete pricing for European and American options. 9 methods: Black-Scholes, Binomial CRR, Trinomial, Monte Carlo (antithetic) + Longstaff-Schwartz, Bjerksund-Stensland 2002 / BAW (American closed-form), Heston 1993 (stochastic volatility, smile via Fourier), Bates 1996 (Heston + Merton jumps, crash risk), greeks (BS), implied vol, P(ITM), and P(Profit). Designed for backtesting: every function is flat vectorized Python with numpy (no abstractions), uses math.erfc (not scipy). BS 2.4 us/op, BS2 3.6 us, Heston 400 us, Binomial N=500 5.6 ms. CLI with 15 modes plus validate and bench. O(1) time complexity for all closed-form methods.
Restructure tangled code into a clear equivalent while preserving behavior. Trigger when the user asks for “readable,” “maintainable,” or “clean” code, a review flags comprehension issues, or the task involves legacy modernization or onboarding cleanup.
Expert-level Redis for caching, pub/sub, data structures, and high-performance applications. Use when the user mentions cache, pub/sub, in-memory stores, key-value stores, or NoSQL, or when the task involves Data Structures, Basic Operations, Advanced Patterns, or Redis Streams.
Original prompt for reverse teardown. Use when the user sees a strong product, website, plan, process, dashboard, or work and wants to learn why it works. Trigger phrases include reverse teardown, break this down, why is this done well, I want to imitate it, reverse-engineer this, analyze this good example, and what makes this great. Provide reusable principles and an actionable checklist. Analyze only successful work; do not use it for postmortems on failed projects or disastrous launches.
Build a multi-quarter roadmap from a backlog of ideas, requests, and ongoing initiatives. Use this skill when planning the next quarter, sequencing dependent work, balancing build vs improve vs maintain, or making the case for what NOT to do. Triggers on roadmap, quarterly planning, what should we build next, sequencing, prioritization, OKR planning, capacity planning, what's on the roadmap, plan the year, what to ship next quarter. Also triggers when stakeholders are pulling in different directions and the team needs a defensible plan.
You are a compliance expert specializing in regulatory requirements for software systems including GDPR, HIPAA, SOC2, PCI-DSS, and other industry standards. Perform comprehensive compliance audits and provide implementation guidance for achieving and maintaining compliance.
Enforces consistent structured logging with request correlation IDs, standardized log schema, middleware integration, and best practices. Use for "structured logging", "log standardization", "request tracing", or "log correlation".
SwiftData persistence and data-layer architecture for iOS 26 / Swift 6.2 clinic modular MVVM-C apps. Use when writing, reviewing, or refactoring @Model entities, repository implementations, stale-while-revalidate reads, optimistic queued writes, sync/retry behavior, and SwiftUI integration that keeps SwiftData types inside Data-only boundaries.
Learn how to implement the Syncfusion Angular Carousel component for displaying slides with images and content. This comprehensive skill includes complete API documentation with all 30 properties, 5 methods, 2 events, and working code examples. Use when creating image galleries, product showcases, featured content sliders, news rotators, or implementing carousel navigation with animations.
Create responsive grid-based dashboards with draggable, resizable panels. Use this skill when implementing Syncfusion Angular Dashboard Layout, creating customizable dashboard layouts, adding dynamic panels, enabling drag-and-drop panel repositioning, resizing panels, saving/restoring dashboard states, making dashboards responsive, or styling dashboard components with CSS customization.
Implement Angular Progress Bar components for visual progress tracking. Use when you need to show determinate, indeterminate, or buffered progress in linear or circular shapes with animations, customization, and accessibility support.
Tutorial patterns for documentation — learning-oriented guides that teach through guided doing. Use when writing a tutorial, learning guide, getting-started or onboarding guide, beginner/introductory guide, or any learn-by-doing hands-on guide. Builds on the docs-style core writing principles
Generate images with Alibaba Cloud Model Studio Z-Image Turbo (z-image-turbo) via DashScope multimodal-generation API. Use when creating text-to-image outputs, controlling size/seed/prompt_extend, or documenting request/response mapping for Z-Image.
Manage Alibaba Cloud Cloud Backup (HBR) via OpenAPI/SDK. Use whenever the user asks for backup lifecycle operations such as resource listing, policy/config updates, job status queries, and troubleshooting HBR backup or restore workflows.
Manage Alibaba Cloud RDS Supabase (RDS AI Service 2025-05-07) via OpenAPI. Use for creating, starting/stopping/restarting instances, resetting passwords, querying endpoints/auth/storage, configuring auth/RAG/SSL/IP whitelist, and listing instance details or conversations.
Datos de fondos comunes de inversion argentinos via CAFCI (Camara Argentina de Fondos Comunes de Inversion). Combina catalogo JSON (1152 fondos, 4615 clases, fees, IDs, metadata), snapshot diario XLSX (VCP, patrimonio, market share, variaciones), ficha individual markdown (rendimientos TNA por periodo) y composicion de cartera (top activos). Sin API key.
Anti-detection browser automation for AI agents. Use when the user needs stealth web browsing, undetectable scraping, fingerprint spoofing, proxy rotation, or privacy-focused browser automation. Triggers include "stealth scrape", "anti-detection", "bypass fingerprinting", "camofox", "camoufox", "undetectable browser", "bot evasion", or any browser task requiring evasion of bot detection systems.
Idea King — reason from first principles and run adversarial review. A thinking partner for the Partner (搭子) workflow and for standalone use. Use when the user says "点子王", "idea king", "第一性原理", "从第一性原理出发", "奥卡姆剃刀", "墨菲定律", "科斯定理", "对抗式审查", "挑战这个方案", "attack this plan", "盘问", "grill this plan", or when a plan / architecture / work split needs to be stress-tested before execution. Partner Direction B calls this skill on every division-of-labor plan before delegating.
Chakra UI v3 (React component library) reference. Also known as: Chakra, chakra, chakra-ui. Components (Button, Input, Modal, Drawer, Toast, Menu, Tabs, Tooltip, etc.), layout, forms, overlays, charts, themes, recipes, style props, responsive design, dark mode, and Chakra UI Pro blocks
Create, continue, revise, diagnose, finish, and batch-produce original Chinese fiction, including literary novels, genre/web novels, complete short stories, character and plot development, style editing, continuity management, EPUB export, and adaptive English translation. Use for requests such as 写小说、写一本、短故事、短篇故事、完整故事、继续写、下一章、角色沙盘、修改或重写章节、润色、去 AI 味、检查节奏或质量、自动写完整本、批量写、批量生产、自动写多本、导出 EPUB、翻译小说. Also /chinese-novelist-skill, /skill:chinese-novelist-skill, /next-chapter, /new-novel.
Designing side-by-side comparison tools (plan-compare, product-compare, alternative-compare) that help users decide rather than just listing features. Axis selection, default-comparison logic, recommendation discipline. Honest about feature-list-dump (every feature in a row, no decision support), hidden-recommendation (biased comparison pretending to be neutral), and honest-comparison-with-guidance (genuine comparison plus opinionated recommendation) patterns. Triggers on comparison tool, plan compare, product compare, alternative compare, vs page, decision support tool. Also triggers when conversion through comparison stages is poor, when users are abandoning at the comparison step, or when a comparison tool is being scoped for the first time.
Systematic content refresh discipline. Quarterly audits, refresh prioritization (which pieces, when, how deep), refresh-vs-merge-vs-delete decisions, the lifecycle that distinguishes intentional refresh from set-and-forget decay. Builds on the refresh sections of pillar-content-architecture and editorial-qa with a program-level discipline. Triggers on content refresh, content decay, content audit, refresh prioritization, content lifecycle, refresh strategy, traffic decay, ranking drop, content freshness, evergreen content, content maintenance. Also triggers when traffic is eroding silently across an aging content library, when teams cannot decide which pieces to refresh, or when refresh work is happening but the impact is unclear.
When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover. Also use when the user mentions "content strategy," "what should I write about," "content ideas," "blog strategy," "topic clusters," or "content planning." For writing individual pieces, see copywriting. For SEO-specific audits, see seo-audit.
Compress large context before reasoning to reduce token usage while preserving evidence. Use this whenever the user mentions huge files, long prompts, RAG payloads, prompt caching, expensive sessions, codebase context, chat history compaction, or wants the same answer quality with fewer tokens.
Optimize Core Web Vitals (LCP, INP, CLS) for a better page experience and search ranking. Use when asked to “improve Core Web Vitals,” “fix LCP,” “reduce CLS,” “optimize INP,” “optimize page experience,” or “fix layout shifts.” Focuses specifically on the three Core Web Vitals metrics. Do NOT use for general web performance (use perf-web-optimization), Lighthouse audits (use perf-lighthouse), or Astro-specific optimization (use perf-astro).
Create, manage, and query Databricks Genie Agents (formerly Genie Spaces): curated agents over Unity Catalog tables, Metric Views, and documents in UC volumes. Use when building, migrating, tuning, or querying a specific Agent, and for document Q&A or docs-and-data agents (replaces the legacy Knowledge Assistant and Supervisor Agent). For data questions across the workspace, use databricks-data-discovery.
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.