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Found 207 Skills
Build automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates.
Master Node.js streams for memory-efficient processing of large datasets, real-time data handling, and building data pipelines
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques. it is triggered when the user requests assistance with fine-tuning a model, adapting a pre-trained model to a new dataset, or performing... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
Use this for exploratory data analysis (EDA), generating visualizations, finding trends, and deriving insights from datasets using Python (Pandas/Seaborn/Plotly) or SQL.
Evaluates and optimizes agent skills using a DSPy-powered GEPA (Generate/Evaluate/Propose/Apply) loop. Loads scenario YAML files as DSPy datasets, scores outputs with pattern-matching metrics, and optimizes prompts via BootstrapFewShot or MIPROv2 teleprompters. Also generates new scenario YAML files from skill descriptions.
Complete Development Guide for Tables, Search, and Pagination Features in React/Next.js Projects. Covers core technologies such as race condition handling, search system implementation, pagination systems, infinite scrolling, CRUD synchronization, Intersection Observer API, and state management selection. Key Features: - Handle race condition issues in asynchronous requests - Implement high-performance search and autocomplete features - Build professional-grade pagination systems and caching strategies - Develop smooth infinite scrolling experiences - Ensure data consistency for CRUD operations - Select the most suitable state management solution Applicable Scenarios: - React/Next.js applications requiring search and pagination features - List display and CRUD operations for large datasets - Need for high-performance infinite scrolling or virtualized lists - Facing complex data management issues such as race conditions and state synchronization - Projects needing to select an appropriate state management solution
Verify that claims and direct quotes in research manuscripts are present in source materials. Systematically checks interview transcripts, datasets, or cited literature using fast search with haiku agent fallback for intensive reading.
Use this skill for ANY question about creating test or evaluation datasets for LangChain agents. Covers generating datasets from traces (final_response, single_step, trajectory, RAG types), uploading to LangSmith, and managing evaluation data.
LLM fine-tuning expert for LoRA, QLoRA, dataset preparation, and training optimization
Blockchain analytics via Dune REST API — execute DuneSQL queries against live on-chain data, discover decoded contract tables, and monitor credit usage. Use when the user asks about on-chain data, wallet activity, DEX trades, token transfers, smart contract events, or says "query Dune", "run a Dune query", or "search Dune datasets". Pairs with MoonPay to analyze wallets you create and fund.
Debug AI traces, find exceptions, analyze sessions, and manage prompts via Langfuse MCP. Also handles MCP setup and configuration.
Generate output schemas (dataset_schema.json, output_schema.json, key_value_store_schema.json) for an Apify Actor by analyzing its source code. Use when creating or updating Actor output schemas.