tachyon-beep-skillpacks

Automates infrastructure provisioning, CI/CD pipeline configuration, and deployment workflows across cloud and on-premises environments using infrastructure-as-code and DevOps best practices.

Universal software engineering methodology - systematic debugging, safe refactoring, code review, incident response, technical debt triage, codebase confidence building - 6 language-agnostic skills

Generates strategic planning workflows and decision trees for complex project management, leveraging systematic reasoning and hierarchical task decomposition.

Provides comprehensive Python engineering capabilities, covering modern Python development, testing, async programming, scientific computing, and machine learning workflow optimization.

CMMI-based SDLC framework (Levels 2-4) with GitHub/Azure DevOps integration (8 skills, 4 agents) - comprehensive process guidance for high-quality software development with specialist support for architecture decisions, quality assurance, bug triage, and process routing

Analyzes complex codebases through coordinated subagent investigation, generating comprehensive C4 architecture diagrams and validated subsystem catalogs for technical stakeholders.

Performs rigorous, test-driven architectural assessments with specialized skills to prevent analysis paralysis and systematically evaluate technical debt and system design.

Provides comprehensive web backend development skills for building scalable APIs, handling authentication, database integration, and microservices architecture across frameworks like FastAPI, Djang...

Generates tactical simulation scenarios and strategic decision-making models for complex game or military training environments using probabilistic modeling techniques.

Transforms organizational systems and processes into experiential learning frameworks, mapping complex interactions and knowledge transfer mechanisms.

Designs professional user experience interfaces, generates UX wireframes, conducts user research, and creates interaction flow diagrams for digital products.

Manages and automates maintenance tasks for skillpacks, such as version tracking, dependency updates, and ensuring plugin compatibility across the marketplace.

Enables structured knowledge extraction and synthesis for subject matter experts (SMEs) through a metadata-driven protocol for capturing and organizing domain expertise.

Generates clear, security-aware technical documentation with structured formatting, diagram conventions, and ITIL/governance best practices.

Performs comprehensive software quality engineering tasks, including test strategy design, defect analysis, quality metrics tracking, and continuous improvement recommendations.

Performs comprehensive security architecture assessments using threat modeling techniques, evaluating system controls, compliance frameworks, and analyzing potential attack vectors.

Provides advanced AI engineering capabilities, focusing on machine learning model design, optimization, and deployment strategies across various domains.

Develops and implements advanced deep reinforcement learning models, algorithms, and training pipelines for complex AI agent optimization and decision-making tasks.

Dynamically generates and validates adaptive system architectures using machine learning-driven modeling and architectural pattern recognition techniques.

Provides advanced large language model (LLM) expertise, specialized techniques, and optimized workflows for complex AI language model interactions and development.

Streamlines machine learning model deployment, monitoring, and lifecycle management for production environments, focusing on scalability and operational reliability.

Designs and validates complex neural network architectures using advanced topology optimization, performance benchmarking, and architectural search techniques.

Provides advanced PyTorch engineering skills for deep learning model development, training optimization, and complex neural network architecture design.

Provides foundational simulation modeling tools and techniques for complex systems, focusing on computational modeling, scenario generation, and probabilistic analysis.

Analyzes complex systems through holistic, interconnected perspectives, mapping causal relationships and identifying emergent behaviors and potential intervention points.

Optimizes machine learning model training workflows by dynamically adjusting hyperparameters, reducing computational overhead, and improving convergence speed.