Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
344 skills found
Fetch and analyze current trending programming models from OpenRouter. Ideal for selecting models for reviews, optimizing AI costs, and staying updated on AI coding trends with real-time pricing and context window data.
Automated job search management for the Lofy AI assistant: track applications, tailor resumes, prepare for interviews, manage follow-ups, and analyze career pipelines.
Expert skill for implementing the Gemini Interactions API. Use for stateful multi-turn chat, background Deep Research agent tasks, function calling, structured outputs, and modern Python/TypeScript SDK integration.
Draft competitive research proposals for NSF, NIH, DOE, DARPA, and NSTC. Master agency-specific criteria, budget preparation, visual schematics, and submission compliance.
Your collaborative writing partner for research, outlining, drafting, and feedback. Perfect for technical documentation, blog posts, and articles with proper citation management.
Review, audit, and build production-grade frontend interfaces with high design quality, accessibility standards, and design system compliance.
A comprehensive library of 305+ modular instruction packages, Python CLI tools, and agent workflows designed to extend the capabilities of AI coding assistants like Claude Code, Cursor, Aider, and Gemini CLI.
A comprehensive aphorism and quote management system for thematic content enrichment, research, and newsletter curation.
Expert framework for designing agent-facing tools, optimizing tool descriptions, enforcing contract-based APIs, and implementing architectural reduction for reliable AI agent tool selection.
Expert guidelines for SEO and AEO optimization including EEAT, JSON-LD structured data, technical SEO, and AI-ready content strategies for Google, ChatGPT, and Perplexity.
Build $50k-grade frontend interfaces with production-ready code, professional typography, and high-fidelity image integration.
Generate finite-difference stencils, select optimal numerical schemes for PDEs/ODEs, and perform truncation error analysis to improve simulation accuracy.