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.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
ascii-art
A generative agent skill for creating ASCII art, optimized for rapid, single-pass artistic output without iterative refinement.
skill-vetter
Security-first vetting protocol for AI agent skills. Detects red flags like credential theft, obfuscated code, and unauthorized data exfiltration before installation.
certification-proflie
A project-specific template skill for maintaining architectural consistency, coding standards, and deployment workflows in AI-powered full-stack applications.
java-coding-standards
Enforce high-quality Java 17+ coding standards, Spring Boot conventions, and maintainable project structures.
kungfu
Search, retrieve, and manage your KUNGFU.SH bookmarks programmatically to streamline your research and knowledge management workflows.
gopls-mcp
Semantic Go code navigation and analysis tool using the Language Server Protocol (LSP) for accurate, high-performance project intelligence.
prd
Generate professional Product Requirements Documents (PRD) and structure features for autonomous development cycles.
karpathy-guidelines
Behavioral guidelines for LLMs to reduce coding mistakes, follow best practices, and improve output quality by enforcing simplicity, surgical changes, and goal-driven verification.
PRISM.unified
UI component patterns and touch input handling for M5Stack Tab5 applications using M5GFX and LVGL.
massive-context-mcp
Process massive files and large codebases (10M+ tokens) by recursively chunking, sub-querying, and aggregating results to overcome LLM context limits.
2077 skills found
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.
Tutorial for identifying and resolving CUDA runtime crashes using FlashInfer's API logging framework.
Pragmatic AI-assisted coding standards focused on clean code, simplicity, and maintainability. Enforces best practices like SRP, DRY, and KISS to prevent over-engineering.
Create and configure Hookify rules to watch for specific patterns in files, bash commands, or user prompts.
Build production-grade RAG systems using vector databases, semantic search, and LangGraph to ground LLMs in external knowledge.
Create structured, orchestrator-ready project plans with atomic tasks, sprint structures, and validation criteria for multi-task engineering projects.
Transit Least Squares (TLS) algorithm for detecting exoplanet transits in light curve data, offering higher sensitivity than Lomb-Scargle for transit-shaped signals.
Standards for organizing, structuring, and maintaining project documentation to ensure consistency across user guides, development docs, and AI-assisted workflows.
Master memory forensics with techniques for acquisition, process analysis, and artifact extraction using Volatility 3 for incident response and malware analysis.
Systematic project technology stack detection, framework-specific skill auto-loading, and multi-stack analysis for fullstack projects like React + Go.