发现 blockchain 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。
Detects anomalies in time series data using TimeGPT. Identifies outliers, level shifts, and trend breaks without model training. Use when identifying anomalies, outliers, or unusual patterns in time series. Tri...
Quantifies the impact of exogenous events on contract prices using TimeGPT and CausalImpact. Triggers on "event impact analysis", "model event effects", "quantify event impact", or "causal analysis".
Research and summarize Nixtla ecosystem updates and time-series forecasting content from the web and GitHub. Use when gathering release notes, recent changes, or best-practice references. Trigger with "Nixtla u...
Expert guidance for Julia package development following SciML standards, Distributions.jl patterns, and Julia ecosystem best practices
Power spectral density estimation for frequency content analysis
Fast Fourier Transform for frequency domain analysis and spectral decomposition
Signal correlation analysis for similarity and delay detection
Fourier transformation for frequency domain analysis
Power spectrum analysis for frequency domain insights and periodicity detection
Inverse Fast Fourier Transform for time domain reconstruction
Seasonal pattern decomposition and analysis
Vector distance calculations for similarity analysis
Use OpenAI's Deep Research API (o3 / o4 models) to automate multi-step, citation-backed research workflows.
External tool integration and citation requirements for Mycelia
SLURM and HPC guidance for Mycelia benchmarks and large-scale analysis
Reparameterization of time in flows
low-discrepancy-sequences skill
Code Query with AI-enhanced deterministic analysis via SplitMix ternary classification
Wide-gamut color sampling with splittable determinism using Pigeons.jl
Dynamical systems on graphs
Invariant set repelling nearby trajectories
Categorical structure of dynamical systems
Convergence to common trajectory in coupled systems
Turbulence scaling theory: K41 energy cascade, Onsager's anomalous dissipation, and Hurst exponent for long-range dependence
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。