Explore our collection of Agent Skills to enhance your AI workflow.
Optimizes website popups, modals, and overlays to maximize lead capture and conversions without compromising user experience.
Develops comprehensive, phased product launch plans using the ORB framework to build momentum and drive user acquisition.
Generates and implements over 140 proven marketing strategies and growth tactics tailored for SaaS and software products.
Analyzes marketing pages to provide actionable recommendations for improving visitor conversion rates.
Optimizes in-app paywalls, upgrade modals, and conversion flows to turn free users into paid subscribers.
Applies behavioral science and psychological mental models to improve marketing strategy, copywriting, and conversion rates.
Configures, audits, and optimizes professional analytics tracking for GA4, Google Tag Manager, and marketing platforms.
Optimizes user registration and account creation flows to reduce friction and maximize conversion rates.
Implements and optimizes schema.org structured data to enhance search engine visibility and enable rich results.
Optimizes lead capture, contact, and demo request forms to maximize completion rates and reduce user friction.
Refines and optimizes marketing copy using a systematic seven-sweep framework to improve clarity, conversion, and emotional resonance.
Automates the creation of high-quality, data-driven SEO pages at scale using proven templates and growth engineering patterns.
Generates platform-specific social media content, engagement strategies, and repurposing workflows for major social networks.
Plan and build engineering-as-marketing tools like calculators and generators to drive lead generation and SEO value.
Performs comprehensive search engine optimization audits to identify technical issues and provide actionable recommendations for improving organic search rankings.
Streamlines GitHub workflows by providing Claude with programmatic access to repositories, issues, pull requests, and GitHub Actions through the Model Context Protocol.
Queries and filters GitHub discussions directly from the terminal with integrated jq support for advanced data extraction.
Applies structured critical reasoning and adversarial thinking to stress-test architectures, plans, and technical decisions.
Automates code changes by creating GitHub Copilot agent sessions from natural language instructions via the command line.
Deploys high-performance LLM inference on CPU, Apple Silicon, and non-NVIDIA GPUs using GGUF quantization.
Fine-tunes and aligns Large Language Models using Supervised Fine-Tuning and Reinforcement Learning from Human Feedback via the TRL library.
Implements Anthropic's Constitutional AI method to train harmless AI models through self-critique and reinforcement learning from AI feedback.
Protects LLM applications by detecting and filtering prompt injections and jailbreak attempts with high precision.
Optimizes LLM serving and structured data generation with RadixAttention prefix caching for high-performance agentic workflows.
Simplifies PyTorch distributed training across multiple GPUs, TPUs, and nodes with minimal code changes and a unified API.
Drafts publication-ready ML and AI research papers for top-tier conferences like NeurIPS and ICML directly from your research codebase.
Implements language-independent subword tokenization using BPE and Unigram algorithms for robust NLP model training and inference.
Trains large-scale language models using NVIDIA Megatron-Core with advanced parallelism strategies for maximum GPU efficiency.
Implements programmable safety rails and runtime validation for LLM applications using NVIDIA's NeMo Guardrails framework.
Evaluates Large Language Models across 100+ industry-standard benchmarks using NVIDIA's enterprise-grade containerized architecture.
Scroll for more results...