Explore our collection of Agent Skills to enhance your AI workflow.
Optimizes user registration and account creation flows to reduce friction and maximize conversion rates.
Generates platform-specific social media content, engagement strategies, and repurposing workflows for major social networks.
Designs, optimizes, and analyzes referral and affiliate programs to turn customers into a recurring growth engine.
Analyzes marketing pages to provide actionable recommendations for improving visitor conversion rates.
Implements and optimizes schema.org structured data to enhance search engine visibility and enable rich results.
Applies behavioral science and psychological mental models to improve marketing strategy, copywriting, and conversion rates.
Automates the creation of high-quality, data-driven SEO pages at scale using proven templates and growth engineering patterns.
Optimizes post-signup user onboarding and activation to reduce churn and accelerate time-to-value.
Writes high-converting marketing copy for landing pages, homepages, and product features using proven conversion optimization principles.
Configures, audits, and optimizes professional analytics tracking for GA4, Google Tag Manager, and marketing platforms.
Optimizes lead capture, contact, and demo request forms to maximize completion rates and reduce user friction.
Plan and build engineering-as-marketing tools like calculators and generators to drive lead generation and SEO value.
Develops comprehensive, phased product launch plans using the ORB framework to build momentum and drive user acquisition.
Optimizes website popups, modals, and overlays to maximize lead capture and conversions without compromising user experience.
Designs data-driven pricing models, packaging tiers, and monetization strategies using expert SaaS frameworks.
Designs and implements statistically valid A/B tests, split tests, and experimentation frameworks for marketing and product growth.
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.
Drafts publication-ready ML and AI research papers for top-tier conferences like NeurIPS and ICML directly from your research codebase.
Builds sophisticated RAG applications by connecting LLMs to private data through advanced indexing and retrieval patterns.
Accelerates LLM data curation using GPU-powered deduplication, quality filtering, and PII redaction at scale.
Implements state-of-the-art vision-language pre-training to enable high-quality image captioning and visual question answering within AI workflows.
Optimizes large-scale model training using DeepSpeed configurations, ZeRO optimization stages, and high-performance I/O management.
Evaluates Large Language Models across 60+ academic benchmarks using standardized prompts and metrics for reproducible research.
Deploys and scales machine learning workloads on high-performance serverless GPUs using a Python-native framework.
Facilitates causal interventions on PyTorch models using a declarative framework for mechanistic interpretability experiments.
Optimizes LLM fine-tuning workflows by providing expert guidance on Unsloth implementation for faster training and reduced memory usage.
Optimizes large-scale Reinforcement Learning training for Mixture-of-Experts models using high-performance quantization and speculative rollout techniques.
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