tachyon-beep/skillpacks

Use when setting up CI/CD pipelines, experiencing deployment failures, slow feedback loops, or production incidents after deployment - provides deployment strategies, test gates, rollback mechanisms, and environment promotion patterns to prevent downtime and enable safe continuous delivery

Use when making architecture decisions, setting up CI/CD, managing technical debt, or choosing branching strategies - enforces ADR requirements and prevents resume-driven design

Use when making architectural decisions without documentation, skipping risk analysis, accepting risks without mitigation, or treating governance as optional bureaucracy - enforces mandatory DAR/RSKM based on project risk level

Use when you have specifications or requirements for multi-step implementation tasks requiring comprehensive documentation for handoff

Use when starting new projects with CMMI, adding CMMI to active development, preparing for audits, migrating tools, or facing team resistance to process adoption

Use after implementation-planning to validate plans against codebase reality, risk, complexity, and project conventions before execution

Use when implementing CMMI processes in GitHub or Azure DevOps, migrating between platforms, or establishing traceability/compliance on GitHub/Azure - platform-specific process guidance

Use when deciding test strategy, struggling with code reviews, shipping without tests, or conflating verification with validation

Use when establishing measurement programs, analyzing metrics with statistical process control, setting baselines, or implementing CMMI Level 4 quantitative management - prevents vanity metrics and measurement theater

Use when defining requirements, tracking traceability, managing requirement changes, or establishing RTM - covers elicitation, analysis, specification across CMMI Levels 2-4

Mandatory protocol for all SME (Subject Matter Expert) agents. Defines fact-finding requirements, output contracts, confidence/risk assessment, and qualification of advice.

Route AI/ML tasks to correct Yzmir pack - frameworks, training, RL, LLMs, architectures, production

Routes to appropriate deep-RL skills based on problem type and algorithm family

Use when building networks that grow, prune, or adapt topology during training. Routes to continual learning, gradient isolation, modular composition, and lifecycle orchestration skills.

LLM specialist router to prompt engineering, fine-tuning, RAG, evaluation, and safety skills.

Router skill directing to deployment, optimization, MLOps, and monitoring guides.

The architecture selection router for CNNs, Transformers, RNNs, GANs, GNNs by data modality and constraints

Routes to appropriate Python specialist skill based on symptoms and problem type

Routes to appropriate PyTorch specialist skill based on symptoms and problem type

Use when user asks about E2E testing, performance testing, chaos engineering, test automation, flaky tests, test data management, or quality practices - routes to specialist reference sheets with deep expertise instead of providing general guidance

Use when users request SDLC guidance, CMMI processes, requirements management, design documentation, quality assurance, governance, metrics, or adopting processes on existing projects

Router for simulation math - ODEs, state-space, stability, control, numerics, chaos, stochastic

Router skill - analyze requirements and direct to appropriate tactics

Use when maintaining, enhancing, or modifying existing Claude Code plugins - handles skills, commands, agents, hooks, and reference sheets through systematic domain analysis, structure review, behavioral testing, and quality improvements

Use when facing complex engineering challenges that require systematic methodology - horrible bugs, safe refactoring, code review, production incidents, technical debt decisions, or building confidence in unfamiliar codebases

Use when analyzing existing codebases to generate architecture documentation - coordinates subagent-driven exploration with mandatory workspace structure, validation gates, and pressure-resistant workflows

Use when you have architecture documentation from system-archaeologist and need critical assessment, refactoring recommendations, or improvement prioritization - routes to appropriate architect specialist skills

Router for systems-as-experience - emergence, sandbox, optimization, discovery, narrative, modding

Router for systems thinking methodology - patterns, leverage points, archetypes, stocks-flows, causal loops, BOT graphs

Router to training optimization skills based on symptoms and training problems

Route to the right UX skill based on your task and platform context

Use when building web APIs, backend services, or encountering FastAPI/Django/Express/GraphQL questions, microservices architecture, authentication, or message queues - routes to 11 specialist skills rather than giving surface-level generic advice