Explore our collection of Agent Skills to enhance your AI workflow.
Analyzes academic drafts and documentation to identify patterns typical of AI-generated text and ensures an authentic, human-authored writing style.
Automatically validates React frontend components to prevent generic aesthetics and enforce high-quality, branded design patterns.
Implements robust Python testing strategies using pytest, mocking, and test-driven development best practices.
Guides contributors through the process of adding new skills to the repository with automated validation and documentation updates.
Generates structured evidence synthesis matrices to organize, compare, and analyze research data across multiple studies.
Generates publication-quality data visualizations and scientific figures following academic design and statistical best practices.
Generates, edits, and composes high-quality visual content using Google's Gemini AI API directly within your development workflow.
Generates standardized PRISMA 2020-compliant flow diagrams to document the study selection process in systematic literature reviews.
Executes comprehensive performance audits, load tests, and regression analysis for API endpoints to ensure system stability and optimization efficiency.
Evaluates the robustness of research findings by testing how conclusions change under varying analytical assumptions and data conditions.
Systematically identifies and prioritizes research gaps from literature reviews to justify new studies and direct future research.
Extracts actionable insights, patterns, and errors from operational logs using type-specific analysis templates.
Validates Cloudflare Workers security patterns in real-time to prevent vulnerabilities and enforce serverless best practices.
Standardizes academic citations and bibliographies across multiple professional styles like APA, IEEE, and Chicago for research manuscripts.
Streamlines new project initialization with automated folder structures, dependency tracking, and standardized system integration.
Formulates high-quality research questions by applying the FINER criteria and PICO framework to ensure scientific rigor and feasibility.
Facilitates event-driven communication and asynchronous workflow orchestration between systems using RabbitMQ and the jelmore CLI.
Validates infrastructure configurations and deployments through automated security scanning, cost analysis, and post-deployment verification.
Implements modern reactive programming patterns and event-driven architectures in Unity using the R3 library.
Manages Unity-specific asynchronous programming patterns including coroutines, async/await, and the C# Job System to optimize game performance and thread safety.
Optimizes Unity performance by implementing GC-free collection management using ListPool, DictionaryPool, and ObjectPool patterns.
Optimizes Cloudflare Workers performance by reducing cold starts, minimizing bundle sizes, and implementing global edge caching patterns.
Implements high-performance, allocation-free async/await patterns and coroutine migrations using the UniTask library in Unity.
Simplifies dependency injection in Unity projects using VContainer to create scalable, testable, and decoupled game architectures.
Enforces strict C# coding standards and naming conventions based on POCU principles for cleaner, more predictable codebases.
Orchestrates multi-agent AI swarms for parallel task execution and dynamic coordination using the agentic-flow framework.
Orchestrates complex multi-agent swarms for distributed research, full-stack development, and automated testing workflows.
Ensures codebase reliability through real-time truth scoring, automated code verification, and an intelligent rollback system.
Validates the biological quality of ATAC-seq data by calculating metrics like TSS enrichment, fragment size distribution, and peak overlap.
Automates the creation of production-ready Claude Code Skills using the progressive disclosure architecture and standardized YAML frontmatter.
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