Loading...
Loading...
Found 3,129 Skills
Use the Docyrus Architect MCP tools to manage data sources, fields, enums, apps, and query data in the Docyrus platform. Use when the user asks to create, update, delete, or query data sources, fields, enum options, or apps via the docyrus-architect MCP server. Also use when building reports, dashboards, or performing data analysis that requires querying Docyrus data sources with filters, aggregations, formulas, pivots, or child queries.
Search Amazon.com, extract product data, and present ranked recommendations. Use when user asks to shop on Amazon, find products, compare items, or research purchases. Prioritizes review count over rating.
Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results.
Initialize, validate, and troubleshoot Deep Agents projects in Python or JavaScript using the `deepagents` package. Use when users need to create agents with built-in planning/filesystem/subagents, configure middleware/backends/checkpointing/HITL, migrate from `create_react_agent` or `create_agent`, scaffold projects with repo scripts, validate agent config files, and confirm compatibility with current LangChain/LangGraph/LangSmith docs.
Manage Google Drive files and folders. List, search, upload, download files, create folders, and manage sharing. Use when working with Google Drive file management.
Interactive web apps for data science: Streamlit, Panel, and Gradio. Use for prototyping ML models, creating data exploration dashboards, and sharing insights with non-technical stakeholders.
This skill should be used when implementing DDD tactical design patterns in Go, including Entities, Value Objects, Aggregates, Repositories, Domain Services, Domain Events, Factories, and Specifications.
Use when implementing any feature or bugfix, before writing implementation code
Search, query, and manage Weaviate vector database collections. Use for semantic search, hybrid search, keyword search, natural language queries with AI-generated answers, collection management, data exploration, filtered fetching, data imports from CSV/JSON/JSONL files, create example data and collection creation.
Apply professional color theming to Figma diagrams (flowcharts, decision trees, sequence diagrams, state diagrams, gantt charts). Use this skill whenever creating diagrams with the Figma:generate_diagram tool. Automatically assigns distinct colors to top-level branches, with child nodes inheriting their parent branch's color family for clear visual hierarchy.
Analyzes markdown files for token efficiency. TRIGGERS: optimize markdown, reduce tokens, token count, token bloat, too many tokens, make concise, shrink file, file too large, optimize for AI, token efficiency, verbose markdown, reduce file size
Sequential subagent execution with two-stage review gates for implementation plans. Use when executing multi-task plans in current session, when tasks need fresh subagent context to avoid pollution, when formal review cycles (spec compliance then code quality) are required between tasks, or when you need diff-based validation of each task before proceeding.