bun
A comprehensive guide for using Bun as a high-performance alternative to Node.js. Supports project initialization, dependency management, script execution, and migration checklists.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
504 skills found
A comprehensive guide for using Bun as a high-performance alternative to Node.js. Supports project initialization, dependency management, script execution, and migration checklists.
Provides predefined design system references for UI reviews, including Material Design 3, Apple HIG, Tailwind UI, Ant Design, and Shadcn/ui.
Maintains a detailed, step-by-step implementation diary for coding sessions with docmgr integration to track changes, rationale, commands, and failures.
Enforce strict Python 3.12+ type safety and modern annotation standards for high-quality, maintainable codebases.
Enhance workflow efficiency by performing manual context compaction at logical task boundaries instead of relying on unpredictable auto-compaction.
Establish cohesive visual systems using design tokens, modular typography scales, 8-point spacing grids, and accessible color palettes for consistent UI development.
A systematic workflow to instrument, evaluate, and monitor LLM applications using TruLens, supporting frameworks like LangChain, LangGraph, and LlamaIndex.
Automate the migration of Netflix Conductor workflows to Temporal Python, including server orchestration, worker management, and workflow troubleshooting.
Comprehensive code quality validation for LibrAgent, covering TypeScript frontend and Rust/Tauri backend via automated linting, formatting, type checking, and build verification.
Headless web search and content extraction using Brave Search API. Perform documentation lookups, factual research, and web data retrieval without a browser.
Real-time observability dashboard for PAI multi-agent activity, featuring live WebSocket streaming, session tracing, and agent workflow debugging.
Talent Scout is an AI-powered Apify Actor for automated candidate sourcing. It scrapes LinkedIn, GitHub, and other platforms, then uses LLMs to rank and evaluate developer profiles against job requirements.