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Found 3,547 Skills
Use this for exploratory data analysis (EDA), generating visualizations, finding trends, and deriving insights from datasets using Python (Pandas/Seaborn/Plotly) or SQL.
Use this for SQL queries, database schema design, ETL pipelines, data transformations (pandas/Spark), and data validation.
Use this for complex project planning, full-stack feature implementation, or coordinating multiple skills (Design, Backend, Frontend, Ops) into a cohesive workflow.
Use this for Infrastructure as Code (Terraform, CloudFormation), cloud resource setup, networking, IAM policies, and general cloud architecture.
Use this when the user asks to refactor, clean up, optimize, or improve code quality.
Comprehensive analysis of the five core elements of a story: genre type, story synopsis, character biographies, character relationships, and major plot points. Suitable for in-depth story analysis, script adaptation preparation, and story development document creation
Analyze character relationships in stories, identify their types, characteristics, and developmental changes. Suitable for deeply understanding character relationship networks, analyzing the role of relationships in driving the plot, and providing relationship support for plot design
Analyze aired TV series, including information acquisition, film breakdown analysis, five-element story analysis, and web search. Suitable for in-depth analysis of drama creation techniques and learning plot design
Comprehensive Python engineering guidelines for writing production-quality Python code. This skill should be used when writing Python code, performing Python code reviews, working with Python tools (uv, ruff, mypy, pytest), or answering questions about Python best practices and patterns. Applies to CLI tools, AI agents (langgraph), and general Python development.
First-principles thinking; identify what everything else builds on. Use when a learner feels like they're memorizing rather than understanding, wants to distinguish foundational from derived concepts, or needs to reconstruct knowledge from basics. This skill guides through dependency testing (elimination, reconstruction, abstraction descent) while enforcing human-only reasoning about what's core vs. derived. Triggers on phrases like "I'm memorizing not understanding", "what's really foundational", "I can use it but don't understand why", "distinguish core from derived", or when a learner wants deeper understanding of first principles.
Teaches learners to extract transferable design lessons from real-world codebases through critical evaluation and systematic exploration. Use when a learner wants to study existing code to learn patterns, architecture, or design decisions—not just understand what it does. Guides through navigation, pattern recognition, critical evaluation (deliberate choice vs. compromise), and lesson extraction. Triggers on phrases like "learn from this codebase", "study how X is implemented", "understand design patterns in Y", or when a learner wants to improve by reading real code.
Use Chrome DevTools Protocol to allow the AI to "ask Gemini" or "research with Gemini" directly. This uses the user's logged-in Chrome session, bypassing API limits and leveraging the web interface's reasoning capabilities.