trulens-evaluation-workflow
A systematic workflow to instrument, evaluate, and monitor LLM applications using TruLens, supporting frameworks like LangChain, LangGraph, and LlamaIndex.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
527 skills found
A systematic workflow to instrument, evaluate, and monitor LLM applications using TruLens, supporting frameworks like LangChain, LangGraph, and LlamaIndex.
Automate Adobe After Effects tasks using the Model Context Protocol. Manage compositions, layers, keyframes, effects, and expressions for motion graphics, title cards, and logo reveals.
Scaffold and build interactive MCP Apps with custom UIs for hosts like Claude Desktop. Supports React, Vanilla JS, and various framework templates for tool-resource integration.
Perform comprehensive trading comparables analysis using peer multiples, operational KPIs, and valuation modeling to assess company relative value.
Comprehensive ASO toolkit for App Store & Google Play. Master keyword research, metadata optimization, competitor tracking, review analysis, and performance benchmarking for mobile app growth.
Generate professional Excalidraw diagrams, flowcharts, and technical architecture visualizations directly via Python.
Ensures adherence to standardized global documentation patterns for technical projects, maintaining consistency across repositories and agent-based workflows.
Standardized React UI patterns for loading states, error handling, and data fetching to ensure consistent UX and robust component architecture.
A testing utility designed to simulate prompt injection attacks and validate security scanners for AI agent skills.
Official Sunhat toolkit for end-to-end TRON smart contract lifecycle: development, compilation, cross-framework testing, and deployment.
User research and insight synthesis for product teams. Plan studies, analyze interviews and usability tests, and generate evidence-based, prioritized design recommendations.
Your personal AI coding tutor that creates customized tutorials based on your actual codebase, tracks your learning progress, and uses spaced repetition to ensure mastery.