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
Use when making architecture decisions, setting up CI/CD, managing technical debt, or choosing branching strategies - enforces ADR requirements and prevents resume-driven design
TDD-validated implementation planning with plan review quality gate (2 skills, 5 agents, 1 command) - write plans, validate against codebase reality with 4 parallel reviewers before execution
Use when you have specifications or requirements for multi-step implementation tasks requiring comprehensive documentation for handoff
Use after implementation-planning to validate plans against codebase reality, risk, complexity, and project conventions before execution
Web backend development expertise across FastAPI, Django, Express, REST/GraphQL APIs, microservices, and production deployment patterns - router + specialist skills for modern web APIs
DevOps and deployment automation expertise - CI/CD pipeline architecture, deployment strategies, zero-downtime deployments, and infrastructure reliability patterns - TDD-validated with RED-GREEN-REFACTOR testing
Universal software engineering methodology - systematic debugging, safe refactoring, code review, incident response, technical debt triage, codebase confidence building - 6 language-agnostic skills
Emergent gameplay and systemic game design - 9 skills
UX design fundamentals - visual design, accessibility, interaction patterns - 11 skills
Systematic maintenance and enhancement of skill packs through investigative domain analysis, RED-GREEN-REFACTOR testing, and automated quality improvements
SME (Subject Matter Expert) Agent Protocol - mandatory protocol for all specialist agents defining fact-finding, output contracts, and confidence/risk assessment
Documentation structure, clarity, security-aware docs - 9 technical writing skills
No verified skills in this plugin.
E2E testing, performance testing, chaos engineering, test automation - 21 quality engineering skills
Threat modeling, security controls, compliance, ATO - 9 comprehensive security skills
No verified skills in this plugin.
Primary router for all AI/ML engineering skillpacks - directs to specialized packs
Reinforcement learning - DQN, PPO, SAC, reward shaping, exploration - 13 skills
LLM techniques - fine-tuning, RLHF, inference optimization - 8 skills
Production ML - quantization, serving, MLOps, monitoring, debugging - 11 skills
Neural architectures - CNNs, Transformers, RNNs, selection guidance - 9 skills
PyTorch mastery - tensors, modules, distributed training, profiling - 9 skills
Game simulation mathematics - ODEs, stability, control theory - 9 skills
Systems thinking methodology - patterns, leverage points, archetypes, modeling, visualization - 6 TDD-validated skills
Training stability - optimizers, learning rates, convergence, debugging - 11 skills
Modern Python 3.12+ engineering: types, testing, async, scientific computing, ML workflows - 10 skills
Game simulation implementation patterns and tactics - 11 skills
Deep codebase architecture analysis (4 commands, 2 agents) - C4 diagrams, subsystem catalogs, security surface mapping, test infrastructure analysis, dependency visualization, incremental delta analysis, cross-pack specialist integration
Dynamic/morphogenetic neural networks - grow, prune, adapt topology during training. Continual learning, gradient isolation, modular composition, lifecycle orchestration - 6 skills, 1 agent, 2 commands
TDD-validated architectural assessment enforcing professional discipline - prevents diplomatic softening, analysis paralysis, and security priority compromise - 3 specialist skills + router