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Found 5,514 Skills
Execute deep web research on any topic using Yutori's research agents. Use for competitive analysis, market research, finding documentation, or answering complex questions that require synthesizing information from multiple sources.
Decompose research ideas into atomic, self-contained concepts with bidirectional math-code mapping. For each concept, extract the math formula from papers and find code implementations. Use for complex system papers requiring formal grounding.
Generate mock data and test fixtures from schemas
Create GitHub Pull Request for feature request from specification file using pull_request_template.md template.
Comprehensive technology-agnostic prompt generator for documenting end-to-end application workflows. Automatically detects project architecture patterns, technology stacks, and data flow patterns to generate detailed implementation blueprints covering entry points, service layers, data access, error handling, and testing approaches across multiple technologies including .NET, Java/Spring, React, and microservices architectures.
Identificación de cuellos de botella: CPU, memoria, event loop, queries lentas, Core Web Vitals.
Create a comprehensive customer journey map that visualizes how customers interact with your brand across all stages—from awareness to loyalty—documenting their actions, touchpoints, emotions, KPI
Get best practices for Entity Framework Core
MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on "design schema", "embed vs reference", "MongoDB data model", "schema review", "unbounded arrays", "one-to-many", "tree structure", "16MB limit", "schema validation", "JSON Schema", "time series", "schema migration", "polymorphic", "TTL", "data lifecycle", "archive", "index explosion", "unnecessary indexes", "approximation pattern", "document versioning".
Write, review, and adapt SQL for PolarDB-X 2.0 Distributed Edition (Enterprise Edition) in AUTO mode, properly handle differences between PolarDB-X and MySQL (such as partitioned tables, Global Secondary Index (GSI), Columnar Index (CCI), Sequence, distributed transactions, table groups, TTL tables, etc.). Suitable for scenarios where you need to generate SQL to run on PolarDB-X, migrate MySQL SQL to PolarDB-X, or debug PolarDB-X SQL compatibility issues.
Create detailed, phased implementation plans through interactive research and iteration. Use when the user explicitly asks to "create a plan", "plan the implementation", or "design an approach" for a feature, refactor, or bug fix. Do not use for quick questions or simple tasks.
Execute approved implementation plans phase by phase with automated and manual verification. Use when the user explicitly says "implement the plan", "execute the plan", or "start implementing" and has a plan file ready. Do not use for ad-hoc coding tasks without a plan.