Expert-thinking subagents for molecular & cell biology: genetics, genomics, omics, biochemistry, biophysics, microbiology, immunology, virology, and structural/synthetic/systems biology.
63 agents
Discrete-event simulation, multi-objective optimization, CFD, and molecular dynamics.
Plugin sci-engineering-simulation from marketplace plugin-place in galeep/plugin-place. Commands read from the repo's manifest — today.
fluidsimPlan, configure, inspect, restart, and analyze bounded FluidSim computational-fluid-dynamics simulations with explicit numerical-validity and HPC safety checks. Use for FluidSim solver selection, parameter review, FFT/MPI setup, output diagnostics, or restart compatibility.
molecular-dynamicsRun and analyze molecular dynamics simulations with OpenMM and MDAnalysis. Set up protein/small molecule systems, define force fields, run energy minimization and production MD, analyze trajectories (RMSD, RMSF, contact maps, free energy surfaces). For structural biology, drug binding, and biophysic
openpivParticle Image Velocimetry (PIV) analysis with OpenPIV. Use when extracting velocity fields from PIV image pairs, analyzing fluid dynamics or flow visualization experiments, cross-correlating interrogation windows, validating and replacing spurious PIV vectors, or computing vorticity, strain rate, a
pymooMulti-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
simpyBuild, inspect, test, and analyze bounded process-based discrete-event simulations with SimPy, including events, resources, interrupts, monitoring, replications, warm-up, and reproducible output analysis.
Expert-thinking subagents for molecular & cell biology: genetics, genomics, omics, biochemistry, biophysics, microbiology, immunology, virology, and structural/synthetic/systems biology.
63 agents
Expert-thinking subagents for clinical medical specialties: cardiology, oncology, radiology, pathology, neurology, surgery, anesthesiology, pharmacology, and related fields.
54 agents
Expert-thinking subagents for chemistry: organic, inorganic, physical, analytical, electrochemistry, catalysis, spectroscopy, mass spectrometry, and crystallography.
48 agents
Expert-thinking subagents for mechanical, civil, chemical, aerospace, and process engineering: fluid dynamics, structures, manufacturing, thermodynamics, and reliability.
48 agents
Expert-thinking subagents for earth, environmental, ocean, and atmospheric science: geology, geophysics, climate, oceanography, hydrology, remote sensing, and sustainability.
46 agents
Expert-thinking subagents for organismal, ecological, and evolutionary biology: zoology, botany, physiology, taxonomy, phylogenetics, conservation, and marine/field biology.
43 agents
Matt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).
39 skills
AGENTS.md as project instructions, by one option. Under claude-md-or-agents-md a project with no instruction files of its own gets its AGENTS.md files instead: a prompt.context hook asks $.fs.ancestors for every AGENTS.md and .claude/AGENTS.md from the filesystem root down to the working directory and hands them to the engine as project instruction files, which it renders, announces and withholds from agents exactly as it does CLAUDE.md, skipping any file the engine already loaded by import or link; a tool.call hook on Read attaches the ones under the project root as the engine attaches a nested CLAUDE.md. Under claude-md-and-agents-md every AGENTS.md is loaded beside CLAUDE.md. Under managed-only the project's and the person's instruction files are dropped and the organization's managed ones kept. Under claude-md the engine's walk stands alone. claude-md-or-agents-md is the default.
Production-grade engineering skills covering every phase of software development: spec, plan, build, verify, review, and ship.
25 skills · 4 agents
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Install the "AAS Security Engineer" workflow plugin from Agentic Awesome Skills.
12 skills
Binary reverse engineering, malware analysis, firmware security, and software protection research for authorized security research, CTF competitions, and defensive security
4 skills · 3 agents
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