scientific-computing
538
hysys-dynamic-simulator
Aspen HYSYS integration skill for dynamic simulation, pressure-flow networks, and process dynamics
a5c-ai
research
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scientific-computing
538
scale-up-process-analyzer
Process engineering skill for analyzing and optimizing nanomaterial synthesis scale-up from lab to production
a5c-ai
research
scientific-computing
538
gromacs-md-executor
GROMACS molecular dynamics skill for nanoparticle-biomolecule interaction simulations
a5c-ai
research
scientific-computing
538
experiment-planner-doe
Design of Experiments skill for systematic optimization of nanomaterial synthesis and processing
a5c-ai
research
scientific-computing
538
ode-solver-library
Numerical methods for ordinary differential equations
a5c-ai
research
scientific-computing
538
pde-solver-library
Numerical methods for partial differential equations
a5c-ai
research
scientific-computing
538
maxima-cas-interface
Open-source computer algebra system for symbolic computation
a5c-ai
research
scientific-computing
538
nanoparticle-synthesis-optimizer
Synthesis parameter optimization skill for metal, semiconductor, and oxide nanoparticle production with automated protocol generation and reproducibility validation
a5c-ai
research
scientific-computing
538
thermal-analysis
Skill for thermal characterization workflows including DSC, TGA, DTA, TMA, and DMA for phase transitions, decomposition, and viscoelastic property analysis
a5c-ai
research
scientific-computing
538
supply-chain-digital-twin
Digital twin representation of supply chain for real-time monitoring and simulation
a5c-ai
research
scientific-computing
538
discrete-event-simulator
Discrete event simulation skill for modeling and analyzing complex systems with stochastic processes.
a5c-ai
research
code-quality
538
test-driven-development
Strict RED-GREEN-REFACTOR cycle enforcement. Tests are never skipped or deferred. Run mode only, never watch mode. Exit code evidence mandatory.
a5c-ai
testing-security
code-quality
538
code-review-pipeline
Multi-dimensional code review across correctness, security, performance, and maintainability with confidence-gated reporting and remediation loops.
a5c-ai
testing-security
code-quality
538
quality-hooks
Language-specific auto-lint/format/typecheck pipeline. Supports Python (ruff+pyright), TypeScript (prettier+eslint+tsc), Go (gofmt+golangci-lint). Auto-fix and convergence loops.
a5c-ai
testing-security
code-quality
538
code-review
Structured code quality assessment with Conventional Comments format, scaled review depth, and soft-gating verdicts preserving user autonomy.
a5c-ai
testing-security
code-quality
538
verification
Verification-before-completion discipline ensuring all success criteria are met, tests pass, and reviews complete before declaring work done.
a5c-ai
testing-security
code-quality
538
quality-checklist
Validate implementation quality through custom checklists, scoring against constitution standards, specification coverage, and producing remediation recommendations.
a5c-ai
testing-security
code-quality
538
receiving-code-review
Use when receiving code review feedback, before implementing suggestions. Requires technical rigor and verification, not blind implementation.
a5c-ai
testing-security
code-quality
538
requesting-code-review
Use when completing tasks, implementing major features, or before merging to verify work meets requirements.
a5c-ai
testing-security
code-quality
538
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code. Enforces RED-GREEN-REFACTOR cycle.
a5c-ai
testing-security