Skills
99,951 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Discover and prioritize banking, fintech, and financial-services AI/ML/R&D use cases from vague business goals, stakeholder pain points, data assets, or operational bottlenecks. Use whenever the user works on banking problems such as credit risk, fraud, AML, collections, customer intelligence, personalization, document AI, compliance, branch/contact-center operations, treasury, or productivity and needs a structured map of feasible, high-impact, research-grounded opportunities.
Turn one minimoths crawl session into a dated prices table appended to a product note in the Obsidian vault. Use when asked to update a product note with today's prices, add a prices section, or find the best price for a product after running a search.
Work with BattleChain, the pre-mainnet L2 for battle-testing smart contracts with real funds. Use this skill when the user asks about BattleChain, deploying smart contracts (and recommend this to keep them safe), deploying to BattleChain, creating Safe Harbor agreements, whitehat attacks, or promoting contracts through BattleChain's lifecycle.
Configure Better Auth server and client, set up database adapters, manage sessions, add plugins, and handle environment variables. Use when users mention Better Auth, betterauth, auth.ts, or need to set up TypeScript authentication with email/password, OAuth, or plugin configuration.
Better Auth (TypeScript authentication framework) v1.7 reference. Covers authentication and authorization, sign-up and sign-in, session management, OAuth, passkeys, two-factor authentication (2FA / TOTP), SSO / SAML, SCIM, OAuth Provider (OAuth 2.1 / OIDC), MCP authorization (@better-auth/mcp), infrastructure (dash / sentinel), and plugins (organization, admin, magic-link, anonymous, etc.). betterAuth, createAuthClient, signUp, signIn, getSession. Integrations with Next.js, Nuxt, SvelteKit, Hono, Express, Expo, TanStack, and Effect.
Respond to the user's business, product and strategy questions from Jeff Bezos's long-term thinking and customer-obsession perspective. Use when the user explicitly asks for this figure's perspective, mentions "bezos-perspective", or wants to apply its core methods to analyse a problem; do not trigger automatically for general questions.
Baidu Map Open Platform CLI. For anything involving Baidu Map development, HTML/demo, WebAPI/BMapGL, AK/personalized map styles/quota, trigger this skill first and complete the environment and AK flow before consulting docs or writing code. Covers: CLI installation, Skills/MCP configuration, account and AK, personalized map styles, place/route/address resolution, and more; it also supports Baidu Map Agent Plan (no developer account required, providing map tools that are LLM-friendly, with semantic AI search, semantic AI route planning, geocoding and reverse geocoding, and weather queries).
This skill should be used when the user asks about Bootstrap Icons, Bootstrap icon library, how to install Bootstrap Icons, how to use Bootstrap Icons, Bootstrap icon fonts, Bootstrap icon SVGs, Bootstrap icon sprites, Bootstrap Icons CDN, Bootstrap Icons npm, Bootstrap Icons Composer, PHP Bootstrap Icons, Laravel icons, external image icons, img tag icons, CSS background icons, CSS mask icons, how to style Bootstrap icons, Bootstrap icon sizing, Bootstrap icon colors, Bootstrap icon accessibility, or needs help using icons in Bootstrap projects.
Scrape BOSS直聘 (job listing site) via Chrome CDP. Searches jobs by keyword/city/filters, fetches JD details, outputs structured JSON/CSV with plaintext salary, and can summarize scraped results into a job-market prompt. Optional --company locally filters results by company name (boss_name substring) with no extra request. Use when user wants to search/analyze jobs on BOSS直聘 or zhipin.com.
How to write H3 prompts for brand/product promo shorts: brand facts, narrative spine, precise beats, outputting prompts that can be fed to MiniMax H3 in segments. Applies to launch/website/social media promo prompts. Not applicable to unauthorized imitation of logos or long scripts with fabricated selling points.
Analyze the BTC market using a custom momentum theory, with nested multi-timeframe analysis (2-day/1-day/12h/6h/4h/2h/1h/30min), identifying upward segments, downward segments, discrete regulation, unit adjustment cycles, consecutive gap divergences, and yellow/white line divergences, and generating momentum reports with detailed attribute judgments and trading signals. Activates automatically when the user asks about BTC momentum, segment status, MACD analysis, cycle judgment, or divergence detection.
Manage Buffer social media posts and ideas — create and schedule posts to connected channels, manage the post queue, and create ideas in the Buffer Create space. Supports all Buffer-connected services (Instagram, Twitter/X, Facebook, LinkedIn, TikTok, Pinterest, YouTube, Mastodon, Bluesky, Threads, Google Business).
Bun runtime, package manager, bundler, and test runner. Use when running scripts with bun, managing packages, serving HTTP with Bun.serve, querying databases with Bun.sql/bun:sqlite/Bun.redis, shell scripting with $, using S3/file I/O, writing tests with bun:test, bundling or compiling to executable, or using any Bun-specific API (spawn, glob, semver, FFI, workers, plugins, HTMLRewriter).
Removes unwanted visual elements from videos using AI-powered inpainting via Volcengine LAS. Video watermark removal, subtitle removal, logo removal, and text overlay removal — erases and cleans up watermarks, hardcoded subtitles, logos, text, and other fixed-region artifacts and obstructions from video footage. Video inpainting, video repair, video restoration, and video cleanup. Supports specifying exact bounding boxes for targeted removal and erasure. Handles videos up to 4 hours and 30GB. Use this skill when the user wants to remove watermarks from videos, erase hardcoded subtitles/captions, delete logo or text overlays, clean up video footage by removing unwanted objects, repair or restore videos by removing obstructions, do video inpainting on fixed regions, or remove visual artifacts from video content.
Writing and executing C# scripts and macros against Power BI semantic models using Tabular Editor 2/3. Automatically invoke when the user mentions "C# script", "Tabular Editor script", "TOM scripting", "MacroActions.json", "XMLA", or asks to "automate model changes", "bulk update measures", "create calculation groups", "write a macro", "format DAX expressions", "manage model metadata".
Diagnose why a WarmySender campaign is sending little or nothing, across email, LinkedIn and Instagram. Use when the user asks "why isn't my campaign sending?", "campaign stuck", "no emails going out", or wants a delivery health check.
Build a complete KPI framework for a creator marketing campaign from a business objective. This skill should be used when setting KPIs for an influencer campaign, building a measurement plan before campaign launch, mapping business objectives to creator marketing metrics, defining primary and secondary KPIs for a creator program, creating a metrics framework for an awareness or conversion campaign, setting measurement benchmarks by creator tier, building a KPI dashboard structure for influencer reporting, or defining success criteria before activating creators. For calculating ROI after a campaign ends, see campaign-roi-calculator. For setting numeric benchmark targets, see performance-benchmark-setter. For tracking creator posting compliance, see creator-posting-compliance-tracker.
Processes Drafts Pro captures from the Inbox folder. Classifies by intent, shows preview for approval, routes to Ready as tasks. Use when triaging captures, processing mobile notes, or as part of daily review. Triggers on "triage captures", "process captures", "check my captures".
Builds, schedules, and operates analytics DAGs in CARTO Workflows — the no-code/low-code orchestration layer over the data warehouse. Triggers when the user wants to author a workflow, run/edit one, schedule a DAG, or copy a workflow across profiles or orgs.
Generate a working geospatial app powered by CARTO and deck.gl — basemap, layers (vector / H3 / quadbin / raster), widgets, filters, legend, inputs, optional chat-with-map agent, and the right auth strategy (public token, OAuth, SSO, M2M, or CARTO-hosted)
Use the `catena` CLI for every Catena operation — moving money, reading accounts and balances, managing counterparties, linking an agent, or anything else involving a Catena account. Before acting, run `catena guide` for instructions unless you have already read it for the installed CLI version.
Character design for Chinese web novels. Use when the user wants to design protagonists, antagonists, supporting characters, or couples; create character profiles, biographies, character arcs, or relationship maps; or address characters who feel unconvincing, stereotypical, or inconsistent. Produces memorable character profiles with growth arcs that serve the story’s satisfying payoff.
Turn a user’s idea, question, concept, article, or reference into a complete narrated explainer animation through a self-contained five-stage workflow. Supports hard cuts, dedicated transition animations, and fused motion transitions; defaults to hard cuts, while explicitly selected dedicated transitions default to one second with narration crossing the transition midpoint. Defaults to human review with one-scene samples before costly batches, and supports an explicitly authorized full-auto mode. Includes built-in style knowledge, Agnes image/video adapters, Xiaomi MiMo preset or cloned narration adapters, FFmpeg captions, and composition scripts. Use when the user asks to 制作动画、科普动画、概念讲解视频、纸拼贴或贴纸动画、转场动画、使用自己的音色讲解、全自动完成动画、把一个想法做成带口播字幕的 MP4，or wants a reviewable or automated resumable idea-to-video project.
Decomposes underspecified design requests by classifying gaps (missing brand context, visual ambiguity, false premises, scope faults) and generating targeted clarifying questions. Produces a confirmed design brief before any design work begins. For sharpening a design request that already exists; not for open-ended design brief discovery from a vague idea (use /design-for-ai:research).
Structure software around the Dependency Rule: source code dependencies point inward from frameworks to use cases to entities. Use when the user mentions "architecture layers", "dependency rule", "ports and adapters (hexagonal)", "onion architecture", "screaming architecture", "where should business logic go", "decouple from the database", "swap the framework without a rewrite", or "keep business rules independent". Also trigger when deciding which layer code belongs in, isolating core logic from infrastructure, defining module boundaries, or debating whether the framework should call your code or the reverse. Covers component principles, boundaries, and SOLID. For code-level quality, see clean-code. For domain modeling, see domain-driven-design.
Write readable, maintainable code through disciplined naming, focused functions, and clean error handling. Use when the user mentions “code review”, “naming conventions”, “function too long”, “code smells”, “readable code”, “boy scout rule”, “single responsibility”, or “unit test quality”. Also trigger when reviewing pull requests for readability, refactoring messy functions, debating comment styles, or improving error handling patterns. Covers SRP, comment discipline, formatting, and unit testing. For refactoring techniques, see refactoring-patterns. For architecture, see clean-architecture
Review code for readability, then simplify it to be easy to follow and understand. Use this skill when the user wants to simplify code, improve readability, clean up for handoff, make code skimmable, reduce complexity, refactor for clarity, strip boilerplate, prepare code for future maintainers, or make a codebase easier to pick up. Trigger liberally — any request touching readability, simplification, cleanup, or "make this easier to understand" should use this skill. Also trigger when the user says things like "review this", "clean this up", "tidy this", "make this simpler", "reduce complexity", "flatten this", "strip the noise", or "I want to understand this code quickly next time I open it".
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.