Agent Skills Hub

predict-lucky-number

Generates a random lucky number between 0 and 9999 for games, decision-making, or entertainment.

data-extraction-patterns

Proven patterns for extracting, caching, and processing analytics data from GA4 and GSC using MCP servers.

mobile-testing

Comprehensive mobile testing for iOS and Android, covering gestures, sensors, permissions, device fragmentation, and performance across 1000+ real and virtual devices.

training-data-curation

Guidelines for curating high-quality datasets for LLM post-training (SFT/DPO/RLHF), covering data formats, quality filtering, and collection strategies.

pymc

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.

implementation

Structured, template-driven workflow for end-to-end feature development including coding, automated testing, verification, and session-based improvement.

pytorch-lightning

PyTorch Lightning skill for scalable deep learning: automates model training, multi-GPU orchestration, data pipelines, and distributed training strategies like DDP, FSDP, and DeepSpeed.

context-compression

Optimize agent performance and token usage through advanced context compression, structured summarization, and task-oriented state management for long-running sessions.

ui-implementer

Implements UI components from Figma/mockups with pixel-perfect accuracy, intelligent design validation, and adaptive agent switching.

x-trends

Search and analyze X (Twitter) trends, hashtags, and tweet data by location using custom CLI tools.

split-pdf

Automated pipeline to download, split, and deeply analyze academic PDFs in structured batches to avoid context window limits and ensure high-quality comprehension.

exa

Neural web search and code context retrieval via Exa AI. Ideal for documentation, technical research, code examples, and company intelligence.