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Found 40 Skills
System architecture design for Rust/WebAssembly projects. Creates ADRs, designs APIs, plans module structures, and documents architectural decisions. Never writes implementation code - focuses purely on design and documentation.
Registro, priorización y planificación de deuda técnica: taxonomía, puntuación, informe, integración con sprint.
Identificación de cuellos de botella: CPU, memoria, event loop, queries lentas, Core Web Vitals.
Convenciones de formato: framework Diátaxis, español/LATAM, estilos de código, Conventional Commits.
Perform video editing. Execute FFmpeg editing based on confirmed deletion tasks, loop until there are no verbal slips, and generate subtitles. Trigger words: Execute editing, Start editing, Confirm editing
Smart database query skill. Connect to online databases via SSH tunnel, supporting natural language to SQL conversion, query execution, and table structure exploration. Use this skill when you need to query databases, ask about data, or view table structures.
Subtitle generation and burning. Transcription → dictionary correction → review → burning. Trigger words: add subtitles, generate subtitles, subtitles
Use when building or restyling any web interface — landing pages, dashboards, marketing sites, web apps, React/Vue components, HTML/CSS layouts, artifacts, posters — or when asked to make a UI look better, more polished, more distinctive, less generic, or less "AI-generated". Also use when a design brief, art direction, visual identity, type scale, or color system is needed before implementation.
Use when building Python 3.11+ applications requiring type safety, async programming, or robust error handling. Generates type-annotated Python code, configures mypy in strict mode, writes pytest test suites with fixtures and mocking, and validates code with black and ruff. Invoke for type hints, async/await patterns, dataclasses, dependency injection, logging configuration, and structured error handling.
Conexión con herramientas externas via MCP: PostgreSQL, GitHub, Slack, Brave Search. Creación de MCP servers personalizados.
Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy or token efficiency, implementing chain-of-thought or few-shot learning, creating system prompts with personas and guardrails, building JSON/function-calling schemas, or developing prompt evaluation frameworks to measure and improve model performance.
Defines service level objectives, creates error budget policies, designs incident response procedures, develops capacity models, and produces monitoring configurations and automation scripts for production systems. Use when defining SLIs/SLOs, managing error budgets, building reliable systems at scale, incident management, chaos engineering, toil reduction, or capacity planning.