kunanonj

Aeon is a Python toolkit for advanced time series machine learning, enabling classification, regression, clustering, and anomaly detection.

Audits GitHub Actions workflows for security vulnerabilities in AI integrations, ensuring safe CI/CD practices.

Validates agent configuration files against 342 rules across multiple AI tools, ensuring compliance and functionality.

Generates Angular 17+ components and optimizes performance with advanced routing, state management, and testing strategies.

Facilitates single-cell analysis with a data structure for annotated matrices, enabling efficient data handling and integration.

Facilitates the design of REST and GraphQL APIs with OpenAPI specifications, ensuring best practices in resource modeling and versioning.

Enables formal verification of Aptos smart contracts using Move Prover, ensuring code correctness through rigorous specifications.

Integrates with Atlassian products for project tracking and documentation management using the MCP protocol, enhancing workflow automation.

Facilitates detailed line-by-line code analysis for enhanced architectural understanding before identifying vulnerabilities.

Conducts comprehensive security audits for AI skills and bundles, identifying vulnerabilities and risks across multiple platforms.

Configures AWS MCP servers for documentation search and API access, enabling efficient setup and troubleshooting of AWS documentation tools.

Validates and enforces design consistency in Tailwind CSS projects, ensuring accessibility and optimal UI performance.

Helps systematically identify and resolve bugs using structured debugging techniques to ensure software reliability.

Designs chaos experiments, creates failure injection frameworks, and facilitates game day exercises for distributed systems — producing runbooks, experiment manifests, rollback procedures, and post-mortem templates. Use when designing chaos experiments, implementing failure injection frameworks, ...

Facilitates the development of CLI tools with features like argument parsing, interactive prompts, and cross-platform compatibility.

Generates and validates technical documentation, including docstrings and API specs, ensuring clarity and consistency for developers.

Gtars is a high-performance toolkit for genomic interval analysis, enabling efficient overlap detection and genomic ML preprocessing.

Facilitates the development and optimization of enterprise Java applications using Spring Boot, microservices, and reactive programming.

Integrates Kaggle functionalities for account setup, competition reports, dataset downloads, and more, enhancing data science workflows.

Provides idiomatic Kotlin implementation patterns for coroutines, Flow, and multiplatform architecture, enhancing Kotlin application development.