Skills
99,448 packaged capabilities and playbooks for agents. Install any of them with one command.
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Use for any landing page, hero section or scroll-driven web design that should feel cinematic (parallax, scrollytelling, overlapping sections, text reveals, Apple-style animation), before coding. Inspects assets with inspect-assets.py, then builds with 45+ 2.5D techniques, no WebGL.
Style rules and idioms for writing high-quality Zener HDL code. Use when writing, reviewing, or refactoring `.zen` files — modules, reference designs, or board files. Covers DNP patterns, typed configs, voltage checks, component naming, computation style, and common gotchas.
Use when producing a video ad with Scenario from a product shot or brand assets: a mobile 9:16 or landscape 16:9 commercial, a TikTok, Reels, Shorts, YouTube, or CTV spot, or campaign creative needing a creative brief, storyboard, cinematic camera work, brand-faithful product footage, music and voiceover, captions, ad variants, budget planning, or platform delivery specs. Keywords: video ad, commercial, product video, advert, hook, CTA, end card, campaign, ad creative.
Implement the Syncfusion React Inline AI Assist component. Use this skill to add inline AI suggestions, integrate AI services such as OpenAI, Gemini, Lite-LLM, or Ollama, configure command and response actions, customize toolbars, enable built-in Speech-to-Text, handle events, and support real-time prompt-response workflows in React.
Implement the Syncfusion React Ribbon component. Use this skill for creating Ribbon UIs with tabs, groups, items, Classic or Simplified layouts, file menu and backstage view, contextual tabs, galleries, KeyTips, accessibility, theming, responsive behavior, customization, and troubleshooting in React.
Audit and plan organic search for AI tool, SaaS, and product-led websites. Use for Search Console diagnosis, existing-page optimization, search intent and page ownership, technical indexing, content briefs, international SEO, citations, or programmatic SEO. Start with measured visibility and existing URLs before recommending new pages.
Four-pillar Bazi destiny analysis. Collects birth information through interactive steps (name, former names, Gregorian/lunar birthday, hour of birth, gender, birthplace), lays out the four pillars, and performs professional analysis referencing classic destiny texts (Qiongtong Baodian, Sanming Tonghui, Datianshui, Yuanhai Ziping, Ziping Zhenquan, etc.). Use this skill whenever the user asks for 八字, 四柱, 命理, 算命, Bazi, fortune telling, birth chart analysis, or wants to know about their 八字 chart, luck, major cycles, or annual fortune. Triggers: "算八字", "看八字", "批八字", "排八字", "四柱", "命盘", "算命", "帮我看看八字", "我想算八字", "分析八字", "排盘", "bazi", "bazi analysis", "fortune telling", "birth chart", "算一卦", "看运势", "命运分析". Even if the user only mentions "算命" or "八字" without explicitly asking to use the skill, you should still use it.
Guides Capgo account lookup and organization administration with the CLI, including `account whoami`, `organization list/add/members/set/delete`, 2FA enforcement, password policy, API-key expiration and hashed-key policy, and apps per organization. Use when listing or creating Capgo organizations, auditing members' 2FA before enforcing it, tightening org security settings, or resolving "Access Denied: Two-Factor Authentication Required" or "Insufficient permissions". Do not use for OTA bundle or channel work (capgo-release-management), native builds (capgo-native-builds), or app-side updater code (capgo-live-updates).
Create SEO-optimized marketing content with consistent brand voice. Includes brand voice analyzer, SEO optimizer, content frameworks, and social media templates. Use when writing blog posts, creating social media content, analyzing brand voice, optimizing SEO, planning content calendars, or when user mentions content creation, brand voice, SEO optimization, social media marketing, or content strategy
Build type-safe validated forms in React using React Hook Form and Zod schema validation. Single schema works on both client and server for DRY validation with full TypeScript type inference via z.infer. Use when: building forms with validation, integrating shadcn/ui Form components, implementing multi-step wizards, handling dynamic field arrays with useFieldArray, or fixing uncontrolled to controlled warnings, resolver errors, async validation issues.
Create diverse synthetic test inputs for LLM pipeline evaluation using dimension-based tuple generation. Use when bootstrapping an eval dataset, when real user data is sparse, or when stress-testing specific failure hypotheses. Do not use when you already have 100+ representative real traces (use stratified sampling instead), or when the task is collecting production logs.
Create MCP servers using the C# SDK and .NET project templates. Covers scaffolding, tool/prompt/resource implementation, and transport configuration for stdio and HTTP. USE FOR: creating new MCP server projects, scaffolding with dotnet new mcpserver, adding MCP tools/prompts/resources, choosing stdio vs HTTP transport, configuring MCP hosting in Program.cs, setting up ASP.NET Core MCP endpoints with MapMcp. DO NOT USE FOR: writing tests (use mcp-csharp-test), publishing or deploying (use mcp-csharp-publish), building MCP clients, non-.NET MCP servers.
SAP Datasphere development skill with 3 specialized agents, 5 slash commands, and validation hooks. Use when building data warehouses on SAP BTP, creating analytic models, configuring data flows and replication flows, setting up connections, managing spaces and users, implementing data access controls, using the datasphere CLI, or inspecting authenticated Datasphere browser UI state with Microsoft Edge CDP. Covers Data Builder, Business Builder, analytic models, 40+ connection types, real-time replication, task chains, content transport, and data marketplace.
Maximizes after-tax returns through strategic asset location, gain/loss management, and withdrawal sequencing. Use when the user asks about asset location, Roth conversions, tax-efficient withdrawals, tax lot selection, or charitable giving with appreciated securities. Also trigger when users mention 'which account should I hold bonds in', 'tax drag', 'Roth vs Traditional', 'RMD planning', 'bracket stuffing', 'HIFO vs FIFO', or ask how to minimize taxes on investments. For tax-loss harvesting execution and wash-sale mechanics, see the tax-loss-harvesting skill.
US stock value investing analysis framework. Systematically evaluates listed companies through 4 core dimensions (ROE sustainability, debt safety, free cash flow quality, economic moat assessment), outputting investment ratings and analytical reasoning. This skill should be used when users mention topics such as whether a US stock is worth holding long-term, fundamental analysis of a company, ROE analysis, debt ratio assessment, free cash flow, economic moat, Buffett-style stock picking, value investing screening, how to read a company's financial reports, whether a stock's valuation is reasonable, etc. Even if users simply ask something general like "What do you think of stock XX?" or "Help me analyze XX's fundamentals," this skill should be triggered to provide a structured value investing analysis framework.
Reference: review of an inbound vendor agreement against the team playbook in `~/.claude/plugins/config/claude-for-legal/commercial-legal/CLAUDE.md`. Flags deviations, assesses risk, generates specific redline language, and routes to the right approver. Loaded by /commercial-legal:review when a vendor MSA, services agreement, or similar is detected.
Set up a paid-media client, account, data-source, privacy, and mutation-guardrail profile for Claude Ads. Use for onboarding, initial configuration, API tokens or credential profiles, environment-variable or keychain setup, connecting exports or read adapters, safe native or verified-local installation, curl-pipe-bash install requests, declaring KPIs, or preparing a new advertising project.
Build a game-ready 3D asset in Blender from reference images (concept art, photos, turnarounds, sketches, screenshots) for any category, including characters, creatures, architecture, vehicles, props, weapons and environment pieces, through gated phases with rendered evidence compared against the reference. Use this whenever a user supplies or mentions a reference image and wants a 3D model or game asset made from it (modelled, blocked out, sculpted, retopologised, textured, rigged, animated or exported for a game engine), even when Blender is not named. Includes bpy scripts for scene calibration, review renders matched to the reference camera, silhouette measurement, validation, baking, GLB/FBX export with manifests, and clean reimport.
Models problems and trade-offs without writing code or specifications. Use when a workflow needs silent reasoning, or the user asks for “/culture”, “no writes”, “rubber-duck this”, or “these bugs feel connected”. Not for specs (/mold), code (/cook), or bug diagnosis and fixes (/pasteurize).
Integrate financial planning engines with the advisor technology stack — data flows between planning tools, CRM, PMS, custodians, and aggregation platforms; capital market assumption (CMA) governance and synchronization; plan-to-IPS-to-model linkage; and governed tax reference parameters in planning tools. Use when the user asks about connecting eMoney, MoneyGuidePro, or RightCapital to CRM or portfolio systems, eliminating manual re-entry between systems, keeping plan and portfolio assumptions consistent, mapping plan outputs (required return, risk capacity, withdrawal schedule) into the IPS and model assignment, or establishing plan update cadence and data-freshness rules. Also trigger on 'plan-to-IPS linkage', 'assumption synchronization', 'CMA governance', or 'planning tool integration'. For planning methodology itself — Monte Carlo modeling, Roth conversion strategy, Social Security claiming, retirement projections — use financial-planning-workflow instead.
Checks whether an author can explain a code change before review. Use when the user requests `/hard-cheese`, `/cheese --hard`, or an understanding check. Use it before a pull request or through the `--hard` pipeline flag. Do not use it for reviews, test hardening, or fixes.
Write and review a business-level App Spec — domain model, workflows with ROI, stories with failure paths, platform gap mapping in atomic commits, phased rollout — before any feature spec exists. Feeds om-spec-writing via feature briefs. Use for "create an app spec", "define business requirements", "what should we build".
Use this skill when hardening a RevenueCat integration on Android. Covers Trusted Entitlements response verification (INFORMATIONAL, the default since SDK 8.11.0), why the server is always the authority, API key hygiene (public SDK key vs secret REST key), anonymous user identity, and purchase token protections RevenueCat provides automatically.
Deep competitive intelligence for any market. Analyzes competitors' products, pricing, customer sentiment, GTM strategy, and growth signals using real web data. Produces battle cards, pricing landscape, and feature matrix. Use when the user wants to understand their competitive landscape, analyze competitors, compare products in a market, or research who they're competing against. Triggers for "who are my competitors", "competitive analysis", "competitor research", "battle cards", "pricing comparison", "competitor pricing", "market players", "competitive intelligence", "competitive landscape", "who else is in this space", "competitive moat", or any request to profile, compare, or map competitors in a category. Works standalone — no prior startup-design session needed.
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.
Ensure investment advertising and marketing materials comply with SEC Marketing Rule and FINRA Rule 2210. Use when the user asks about performance advertising, showing backtested or hypothetical returns, net vs gross performance presentation, client testimonials or endorsements in marketing, social media posts by advisers or reps, third-party ratings in pitchbooks, or advertising recordkeeping. Also trigger when users mention 'can we show this track record', 'pitchbook compliance review', 'marketing rule violations', 'cherry-picking performance periods', 'predecessor performance portability', 'extracted performance', or ask whether a website, one-pager, or presentation needs compliance approval.
Create aesthetically beautiful interfaces following proven design principles. Use when building UI/UX, analyzing designs from inspiration sites, generating design images with ai-multimodal, implementing visual hierarchy and color theory, adding micro-interactions, or creating design documentation. Includes workflows for capturing and analyzing inspiration screenshots with chrome-devtools and ai-multimodal, iterative design image generation until aesthetic standards are met, and comprehensive design system guidance covering BEAUTIFUL (aesthetic principles), RIGHT (functionality/accessibility), SATISFYING (micro-interactions), and PEAK (storytelling) stages. Integrates with chrome-devtools, ai-multimodal, media-processing, ui-styling, and web-frameworks skills.
Guide to BSA/AML compliance program design, ongoing transaction monitoring and FinCEN reporting for broker-dealers, banks and investment advisers. Use when the user asks about suspicious activity reports, currency transaction reports, OFAC screening, structuring detection, ongoing risk-rating reviews and escalation, or FinCEN requirements. Also trigger when users mention 'large cash deposit', 'sanctions check', 'money laundering red flags', 'unusual transaction patterns', 'wire to a foreign country', 'SDN list', 'tipping off a client about a SAR', 'AML audit', 'correspondent account due diligence', or ask whether a transaction needs to be reported. (For onboarding identity verification, CIP/CDD, beneficial ownership and initial customer risk rating, use know-your-customer.)
x86-64 assembly skill for reading, writing and debugging assembly code. Use when reading GCC/Clang assembly output, writing inline asm in C/C++, understanding the System V AMD64 ABI calling convention, or debugging register and stack state. Activates on queries about x86-64 assembly, AT&T vs Intel syntax, inline asm, calling conventions, SIMD intrinsics, or reading disassembly output from objdump or GDB.
Researches cited evidence from documentation, current web sources, repositories, local code, and Git hosting. Use when the user asks to research, compare, investigate, verify facts, find guidance, assess maintenance, or gather evidence before implementation. Trigger on “research X”, “compare A vs B”, “what's the latest on”, “is X still maintained”, “ground this plan in the docs”, or “/briesearch”. Do not use for one clear file lookup or when the user already has sufficient evidence.
Analyze corporate bonds and credit instruments including investment grade and high yield debt. Use when the user asks about corporate bonds, credit spreads (OAS, Z-spread, G-spread), credit ratings, default probabilities, callable bonds, or private credit. Also trigger when users mention 'junk bonds', 'fallen angel', 'yield-to-worst', 'covenant analysis', 'CDS spreads', 'recovery rates', 'direct lending', 'mezzanine debt', 'BBB downgrade risk', or ask how to evaluate corporate credit risk.
Apple HIG guidance for status and progress UI components including progress indicators, status bars, and activity rings. Use this skill when asked about: "progress indicator", "progress bar", "loading spinner", "status bar", "activity ring", "progress display", determinate vs indeterminate progress, loading states, or fitness tracking rings. Also use when the user says "how do I show loading state", "should I use a spinner or progress bar", "what goes in the status bar", or asks about activity indicators. Cross-references: hig-components-system for widgets and complications, hig-inputs for gesture-driven progress controls, hig-technologies for HealthKit and activity ring data integration.
Expert-level insurance systems, underwriting, claims processing, actuarial analysis, risk assessment, and insurtech solutions. Use when the user mentions underwriting, claims, actuarial, risk, or insurtech, or when the task involves Insurance Systems, Insurance Types, Standards and Regulations, or Claims Processing.
Scores completed OKR sets at cycle close with KR-level scoring per the canonical OKR type enum (committed | aspirational | learning | operational_health | compliance_or_safety), committed-vs-aspirational interpretation, evidence quality assessment, learning synthesis, and next-cycle recommendations. Refuses to retroactively change targets or shrink committed scope, average away guardrail KRs, treat 0.7 as success for committed or compliance_or_safety KRs, equate effort with impact, or use scores for individual performance. Hands off to iterate-lessons-log, iterate-retrospective, define-hypothesis, measure-dashboard-requirements, measure-instrumentation-spec, and foundation-okr-writer.
Open a pull request the bklit-ui way: stage and commit with pre-commit hooks, run ultracite from the repo root, rebuild the shadcn registry, run a production test build, fix failures, push, and create a PR with a structured summary. Use when the user asks to commit, push, open a PR, "ship it", or run the full pre-PR checklist.
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.