turing-tavily-web-search
Search the web for real-time data and research using the Turing Tavily proxy. Use for up-to-date information, current events, and web-based research tasks.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
785 skills found
Search the web for real-time data and research using the Turing Tavily proxy. Use for up-to-date information, current events, and web-based research tasks.
Structured task planning framework for AI agents to break down complex features, refactors, and bugs into actionable, verifiable steps.
Build targeted prospect lists by analyzing public LinkedIn profiles and business data to identify decision-makers, track career moves, and enrich leads for outreach.
Bayesian modeling and probabilistic programming with PyMC. Build hierarchical models, perform MCMC sampling (NUTS), variational inference, and conduct rigorous model comparison using LOO and WAIC.
Generate high-quality visual content, characters, and scenes using structured JSON prompts and automated Python execution for guided image synthesis.
Framework for high-performance computational fluid dynamics (CFD) simulations, supporting Navier-Stokes, shallow water, and stratified flows using pseudospectral methods and MPI parallelization.
Create and configure Hookify rules to watch for specific patterns in files, bash commands, or user prompts.
Create structured, orchestrator-ready project plans with atomic tasks, sprint structures, and validation criteria for multi-task engineering projects.
Standards for organizing, structuring, and maintaining project documentation to ensure consistency across user guides, development docs, and AI-assisted workflows.
Integrate with REST APIs to manage authentication, execute HTTP requests, and process JSON responses seamlessly within your development workflow.
A toolkit for developing and bundling complex, multi-component React/TypeScript web artifacts using Vite, Tailwind CSS, and shadcn/ui.
Nonlinear optimization toolkit using CasADi and IPOPT. Ideal for building complex NLP models, defining symbolic variables, constraints, and solvers, with specialized support for power systems optimization patterns.