Claude Skills Online Marketplace

Apply behavioral science and mental models to marketing decisions, prioritized using a psychological leverage and feasibility scoring system.

Audit multi-role marketplace authorization across roles, resource ownership, tenant boundaries, and order-state transitions; use when access rules need evidence, not UI...

Integrate the alpha markstream-angular renderer into Angular 20+ applications with standalone components, signals, safe HTML defaults, and optional peer features.

Override Markstream node renderers and add trusted custom tags across Vue, React, Svelte, and Angular using scoped or renderer-local mappings.

Install and configure Markstream streaming Markdown renderers for Vue, React, Svelte, Angular, Nuxt, Next.js, and Vue 2 applications.

Audit and migrate an existing Markdown renderer to Markstream while preserving custom renderers, security policy, streaming behavior, and explicit parity gaps.

Integrate markstream-vue into Nuxt 3 or 4 with SSR-safe client boundaries, renderer modes, explicit CSS, and browser-only optional peers.

Integrate the beta markstream-react renderer into React 18+ or Next.js with correct client/server entrypoints, CSS, streaming state, and component overrides.

Integrate the beta markstream-svelte renderer into Svelte 5 or SvelteKit with runes, explicit CSS, smooth streaming, workers, and SSR-safe boundaries.

Integrate markstream-vue2 into Vue CLI or Webpack 4 with export-map-safe CSS, CDN worker fallbacks, and conservative code-block defaults.

Integrate markstream-vue2 into Vue 2 plus Vite with bundled worker imports, CSS ordering, Composition API compatibility, and safe streaming defaults.

Integrate markstream-vue2 into Vue 2.6 or 2.7 with correct Composition API decisions, CSS, streaming state, optional peers, and scoped overrides.

Integrate markstream-vue into plain Vue 3 with renderer modes, code and DOM choices, streaming state, virtualization, optional peers, and scoped components.

LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao.

Use when improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage.

Authorized security assessment of LLM applications and AI agents: prompt injection, tool abuse, RAG exposure, memory poisoning, system-prompt extraction, and agent-compliance...

Get reliable JSON, enums, and typed objects from LLMs using response_format, tool_use, and schema-constrained decoding across OpenAI, Anthropic, and Google APIs.

Build production LLMOps platforms with CI/CD, model promotion workflows, evaluation gates, rollback, and governance across cloud and self-hosted inference.

Configure load balancers and traffic distribution. Implement health checks and SSL termination. Use when distributing traffic across servers.

Audit and improve local SEO for law firms, attorneys, forensic experts and legal/professional services sites with local presence, focusing on GBP, directories, E-E-A-T and...