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Browse the full catalog through outcome-first channels, technical facets, rating filters, and server-side pagination built for a large public marketplace.
quality-metrics
A comprehensive and actionable quality metrics framework that effectively distinguishes meaningful metrics from vanity metrics, with excellent DORA integration and practical implementation guidance.
Skill Development
A comprehensive meta-skill providing clear guidelines and best practices for creating effective Claude Code plugin skills, with excellent structure and practical examples.
swarm-orchestration
This skill enables coordination of multiple AI agents for parallel task execution using agentic-flow. It supports mesh, hierarchical, and adaptive topologies with features like load balancing, fault tolerance, and shared memory. Useful for complex projects requiring distributed AI workforces.
statsmodels
This skill provides direct access to Python's statsmodels library for statistical modeling. It covers OLS, logistic regression, ARIMA, GLM, and hypothesis testing with code examples. The documentation includes model selection guidance, formula API usage, and common applications like marketing response prediction.
scikit-learn
This skill provides detailed guidance for using scikit-learn, covering classification, regression, clustering, and preprocessing. It includes practical code examples, algorithm selection tables, and warnings about common mistakes like data leakage. The documentation helps users build ML pipelines and evaluate models effectively.
serena
Provides IDE-like symbol navigation and editing using LSP. Finds definitions and references across 30+ languages, enables precise code insertions, and supports refactoring workflows like renaming symbols and tracking usage.
massgen-release-documenter
This skill provides a structured workflow for documenting MassGen releases, covering CHANGELOG updates, Sphinx documentation, README maintenance, and roadmap tracking. It references a primary checklist document and includes concrete commands for git operations and documentation builds.
performance-analysis
This skill provides a systematic approach to performance analysis, covering measurement methodologies, bottleneck identification patterns, and capacity planning techniques. It emphasizes measuring before optimizing and offers concrete methods like USE/RED analysis, profiling hierarchies, and load testing strategies for diagnosing and improving system performance.
swarm-advanced
A comprehensive advanced swarm orchestration skill providing sophisticated patterns for distributed research, development, and testing workflows with clear architectural guidance.
doc-generator
A highly practical skill that automates API documentation generation with clear structure and comprehensive examples for multiple programming languages.
wordpress-plugin-core
Build secure WordPress plugins with hooks, database interactions, Settings API, custom post types, and REST API. Covers Simple, OOP, and PSR-4 architecture patterns plus the Security Trinity. Includes WordPress 6.7-6.9 breaking changes. Use when creating plugins or troubleshooting SQL injection, XSS, CSRF, REST API vulnerabilities, wpdb::prepare errors, nonce edge cases, or WordPress 6.8+ bcrypt migration.
mobile-testing
A comprehensive and well-structured mobile testing skill with excellent practical guidance, device coverage strategies, and actionable code examples for iOS/Android testing.
pytorch-lightning
Provides structured templates and best practices for PyTorch Lightning development. Covers LightningModule organization, Trainer configuration, distributed training strategies, and common debugging patterns. Includes ready-to-use code snippets for data pipelines, logging, and multi-GPU setups.
apple-notes
This skill wraps the 'memo' CLI tool to manage Apple Notes from the terminal. It enables creating, viewing, editing, deleting, searching, moving, and exporting notes to HTML/Markdown. It's specifically for macOS users who want to interact with their Apple Notes collection programmatically or via command line.
openalex-database
Provides Python tools to query OpenAlex's 240M+ scholarly works database for literature searches, citation tracking, research trend analysis, and bibliometric studies. Includes helper functions for common academic workflows like finding papers by author/institution and analyzing open access publications.
research-grants
This skill provides detailed templates and guidance for writing research grant proposals for major funding agencies like NSF, NIH, DOE, DARPA, and NSTC. It includes agency-specific formatting, budget preparation, review criteria, and compliance requirements. The skill mandates integration with scientific-schematics for visual elements in proposals.
frontend-design
This skill generates distinctive frontend code with strong aesthetic direction, avoiding generic AI design patterns. It provides specific guidance on typography, color, motion, and layout to create memorable interfaces. The tool pushes for bold creative choices rather than safe defaults.
Investigating Code Patterns
Provides structured methods for tracing code execution, locating implementations, diagnosing performance issues, and mapping system architecture. Includes specific templates for documenting findings and recommends parallel agent workflows for complex investigations.
state-management
Provides clear decision trees and concrete code examples for choosing between local, global, server, and URL state in frontend applications. Covers React with Zustand/TanStack Query and Vue with Pinia, showing when to use each approach with practical patterns.
using-superpowers
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
cloudflare-workers-ai
Run LLMs and AI models on Cloudflare's GPU network with Workers AI. Includes Llama 4, Gemma 3, Mistral 3.1, Flux images, BGE embeddings, streaming, and AI Gateway. Handles 2025 breaking changes. Prevents 7 documented errors. Use when: implementing LLM inference, images, RAG, or troubleshooting AI_ERROR, rate limits, max_tokens, BGE pooling, context window, neuron billing, Miniflare AI binding, NSFW filter, num_steps.
frontend-dev-guidelines
Provides concrete implementation patterns for modern React/TypeScript apps using Suspense, lazy loading, TanStack Query, and MUI v7. Includes checklists, import aliases, file organization rules, and working code examples for components, data fetching, forms, and routing.
scientific-slides
This skill helps researchers create scientific presentations by generating slide images via Nano Banana Pro AI and providing detailed timing guidance. It focuses on visual storytelling with minimal text, proper citations, and professional design. Includes specific workflows for PDF and PowerPoint output with formatting consistency protocols.
BrightData
A progressive web scraping skill that attempts four methods in sequence: built-in WebFetch, curl with headers, browser automation, and finally a paid Bright Data service. It handles bot detection and JavaScript-heavy sites by escalating through increasingly capable tiers.