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pitchfork
Symmetric bifurcation with symmetry breaking
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documentation scientific computing AI 技能
发现 documentation scientific computing 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
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GitHub
bmorphism-interactome
GitHub interactome explorer for bmorphism/plurigrid ecosystem. Maps collaborations across AlgebraicJulia, Topos Institute, Anthropic, and MCP servers. Use for discovering cobordisms between research communities...
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GitHub
trajectory
Path traced by solution through phase space
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GitHub
lyapunov-function
Scalar function decreasing along trajectories
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GitHub
hopf
Bifurcation creating limit cycle from equilibrium
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attractor
Invariant set attracting nearby trajectories
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GitHub
gay-mcp
Deterministic color generation with SplitMix64, GF(3) trits, and MCP. Colors are the perceptual rendering of solved constraint systems.
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GitHub
gay-monte-carlo
Gay Monte Carlo Measurements
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flow
One-parameter group of diffeomorphisms generated by vector field
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equilibrium
Fixed points where vector field vanishes
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GitHub
duckdb-ies
Layer 4: IES Interactome Analytics with GF(3) Momentum Tracking
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GitHub
vector-field
Assignment of vectors to points in phase space defining dynamics
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GitHub
periodic-orbit
Closed trajectory in phase space
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GitHub
julia-scientific
Julia package equivalents for 137 K-Dense-AI scientific skills. Maps Python bioinformatics, chemistry, ML, quantum, and data science packages to native Julia ecosystem.
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GitHub
coupled-system
Interacting dynamical systems
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GitHub
crn-topology
Chemical Reaction Network topology for generating and analyzing reaction
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GitHub
langevin-dynamics
Layer 5: SDE-Based Learning Analysis via Langevin Dynamics
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GitHub
kuramoto-model
Coupled oscillators with sinusoidal coupling
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GitHub
olmoearth-mlx
OlmoEarth MLX: Spatio-Temporal Earth Intelligence
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GitHub
chaotic-attractor
Strange attractor with sensitive dependence on initial conditions
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GitHub
kolmogorov-compression
Kolmogorov complexity as the ultimate intelligence measure. Shortest
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GitHub
linearization
Local approximation of nonlinear dynamics
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GitHub
research
Research technical solutions by searching the web, examining GitHub repos, and gathering evidence. Use when exploring implementation options or evaluating technologies.
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GitHub
investigate
Deep analytical investigation mode using Bayesian reasoning, superforecasting techniques, and rigorous hypothesis testing. Combines methods from Kahneman, Tetlock, Peirce, and Feynman. Use when user invokes /in...
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。