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Found 265 Skills
OTP design patterns, supervision trees, and process management with KISS principle emphasis
This skill should be used when the user asks to "use pandas", "analyze data with pandas", "work with DataFrames", "clean data with pandas", or needs guidance on pandas best practices, data manipulation, performance optimization, or common pandas patterns.
This skill should be used when the user asks to "set up ESLint", "configure ESLint rules", "fix ESLint errors", "migrate to flat config", or needs guidance on JavaScript/TypeScript linting best practices.
This skill should be used when the user asks to "connect to MySQL with PyMySQL", "use PyMySQL in Python", "query a MySQL database with Python", "set up PyMySQL", or needs guidance on PyMySQL best practices, transactions, parameterized queries, or cursor types.
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.
UI/UX design intelligence with searchable database
Apply official brand colors and typography to professional artifacts. Use for presentations, reports, and documents to ensure corporate visual identity. Use proactively when a "client-ready" look-and-feel is requested. Examples: - user: "Brand this report" -> apply corporate colors and fonts - user: "Apply brand guidelines to these slides" -> update colors/fonts in XML - user: "Check if this document is on-brand" -> verify against color/font standards
When dealing with python code, these guidelines must always be followed.
Design behavior change using the B=MAP framework. Use when designing onboarding flows, improving conversion, building habits, increasing feature adoption, or understanding why users don't take desired actions.
Generación de materiales de incorporación: setup local, mapa del codebase, plan de primera semana, guía del equipo.
Conexión con herramientas externas via MCP: PostgreSQL, GitHub, Slack, Brave Search. Creación de MCP servers personalizados.
Diseño de prompts para LLMs: system prompts, few-shot examples, chain-of-thought, RAG, structured outputs.