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Found 3,022 Skills
Converts any Claude Code skills repository into an official plugin marketplace. Analyzes existing skills, generates .claude-plugin/marketplace.json conforming to the Anthropic spec, validates with `claude plugin validate`, tests real installation, and creates a PR to the upstream repo. Encodes hard-won anti-patterns from real marketplace development (schema traps, version semantics, description pitfalls). Use when the user mentions: marketplace, plugin support, one-click install, marketplace.json, plugin distribution, auto-update, or wants a skills repo installable via `claude plugin install`. Also trigger when the user has a skills repo and asks about packaging, distribution, or making it installable.
Complete React 19 fundamentals system. PROACTIVELY activate for: (1) React 19 new features and changes, (2) Server vs Client Components, (3) Server Actions setup, (4) use() hook usage, (5) JSX and component basics, (6) Props and state patterns, (7) Suspense and Error Boundaries, (8) Fragments and Portals. Provides: React 19 syntax, Server Component patterns, async data handling, component composition, best practices. Ensures modern React 19 patterns with proper server/client architecture.
Define component variants and states systematically for Figma. Use when asked to plan component variants, define states for a component, set up a Figma variant matrix, or work out what properties a component needs before building it. Produces a complete variant matrix with all properties, values, and combinations needed.
Use when writing QGIS expressions for filtering, labeling, symbology, or field calculations. Prevents expression syntax errors and context misconfiguration. Covers QgsExpression parsing, evaluation contexts, field calculator, data-defined properties, and custom functions. Keywords: QgsExpression, expression, field calculator, label expression, data-defined, @qgsfunction, filter, evaluate, calculate field, formula, conditional label, dynamic value.
Polish and rewrite the prose of academic LaTeX (.tex) files to sound professional and domain-appropriate, while leaving commands and structure intact.
Framework for demonstrating AI capabilities in legal contexts. Provides detailed personas across tenant law, business contracts, startup disputes, employment claims, and consumer protection with progressive complexity scenarios. Use when: (1) Demonstrating AI-powered legal triage or intake systems, (2) Showcasing responsible AI-assisted client interactions, (3) Training staff on appropriate AI use in legal contexts, (4) Creating realistic scenarios for legal tech presentations, (5) Developing educational materials about AI in legal services, or (6) Testing AI-powered legal information systems in controlled environments.
Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing academic-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.
You are a Conversion Rate Optimization Strategist and Persuasive Content Specialist. Use this skill when the user wants to audit or improve a landing page, write conversion-focused copy, optimize CTAs, build an FAQ schema block, translate features into benefits, or maximize conversions on any specific page type. Activate when the user mentions "landing page," "sales page," "lead capture page," "squeeze page," "webinar sign-up page," "product launch page," "waitlist page," "early access page," "thank you page," "upsell page," "SaaS pricing page," "onboarding page," "ecommerce page," "audit this page," "improve conversions," "CTA optimization," "hero section," "headline rewrite," "subhead," "benefits section," "features to benefits," "FAQ schema," "schema FAQ," "trust elements," "page layout," "above the fold," "scroll order," "microcopy," "mobile-first copy," "landing page copy," "page flow," "drop-off," "weak CTA," "conversion copy," "page goal," "split test copy," "A/B test copy," or "wireframe suggestions." Covers full page audits, hero rewrites, CTA testing, benefits section writing, FAQ schema generation, layout suggestions, and repurposing optimized sections into ads, emails, and video scripts.
Create and maintain a product marketing context document covering positioning, ICP definition, messaging hierarchy, competitive differentiation, and value proposition. This skill creates the foundation that all other marketing skills reference. Trigger phrases: "product marketing," "positioning statement," "ideal customer profile," "ICP," "messaging hierarchy," "value proposition," "competitive differentiation," "product narrative," "use case mapping," "update our positioning," "what makes us different," "who is our customer," "messaging framework," "category design," "go to market strategy," "product story."
Write, review, and restructure useful documentation with Diataxis, audience-specific README patterns, and AI-writing trope cleanup. Use when creating docs, improving READMEs, reorganizing documentation, or editing prose for clarity.
Inspeccionar un proyecto existente para descubrir decisiones arquitectónicas implícitas y proponer ADRs candidatos. Usar cuando el usuario quiera auditar un repositorio en busca de decisiones no documentadas, pida "descubrir ADRs", "qué decisiones arquitectónicas tiene este proyecto", "busca ADRs en el repo", "analiza la arquitectura del proyecto" o cualquier variante que implique explorar el código/estructura para inferir decisiones relevantes que merezcan un ADR. Activar también cuando el usuario llegue a un proyecto nuevo y quiera entender qué decisiones ya se tomaron, aunque no mencione explícitamente "ADR".
Crea o actualiza tareas técnicas (TK-XXX) asociadas a una historia de usuario existente. Activar cuando el usuario solicite planificar implementación, descomponer trabajo, definir alcance técnico, estructurar subtareas o documentar especificaciones técnicas sin generar código ni pruebas. Activar también — por defecto — cuando el usuario solo entregue una referencia a una historia (p. ej. «US-004», «planifica US-007», «tareas para esta historia») — en ese caso el propósito es proponer stubs agrupados por unidad de trabajo que cubran los escenarios (SC-XX) y consideren las reglas de negocio (BR-XX) de la US, sin redactar TKs completas.