create-skill-glyph
Create R-based pictogram glyphs for skill icons in the visualization layer. Covers concept sketching, ggplot2 layer composition using the primitives library,…
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Updated 11-05 00:16
17,420 results
Create R-based pictogram glyphs for skill icons in the visualization layer. Covers concept sketching, ggplot2 layer composition using the primitives library,…
Create interactive maps, elevation profiles, and spatial visualizations from GPX tracks, waypoints, or route data using R (sf, leaflet, tmap) or Observable…
Develop a gas chromatography method from scratch: define analytical objectives, select column chemistry, optimize temperature programming, choose carrier gas…
Develop a high-performance liquid chromatography method: define separation goals, select column chemistry and mobile phase, optimize gradient and flow…
Fit cognitive drift-diffusion models (Ratcliff DDM) to reaction time and accuracy data with parameter estimation (drift rate, boundary separation, non-decision…
Generate publication-ready statistical tables using gt, kableExtra, or flextable. Covers descriptive statistics, regression results, ANOVA tables, correlation…
Improve an existing R-based pictogram glyph for the visualization layer. Covers visual audit of the current glyph, diagnosis of specific issues (proportions,…
Extract data from web pages using the scrapling Python library — select the appropriate fetcher tier (HTTP, stealth Chromium, or full browser automation) based…
Implement audit trail functionality for R projects in regulated environments. Covers logging, provenance tracking, electronic signatures, data integrity…
Set up systematic data labeling workflows using Label Studio or similar tools. Implement quality controls, measure inter-annotator agreement, manage labeler…
Field identification of minerals and ores using hardness, streak, luster, cleavage, crystal habit, and simple chemical tests. Covers the systematic elimination…
Orchestrate end-to-end machine learning pipelines using Prefect or Airflow with DAG construction, task dependencies, retry logic, scheduling, monitoring, and…
Review a data analysis for quality, correctness, and reproducibility. Covers data quality assessment, assumption checking, model validation, data leakage…
Serialize and deserialize data across common formats including JSON, XML, YAML, Protocol Buffers, MessagePack, and Apache Arrow/Parquet. Covers format…
Configure automated machine learning pipelines using Optuna or Ray Tune for hyperparameter optimization. Implement efficient search strategies (Hyperband,…
Simulate stochastic processes (Markov chains, random walks, SDEs, MCMC) with convergence diagnostics, variance reduction, and visualization. Use when…
Set up MLflow tracking server for experiment management, configure autologging for popular ML frameworks, compare runs with metrics and visualizations, and…
Version machine learning datasets using DVC (Data Version Control) with remote storage backends, build reproducible data pipelines with dependency tracking,…
Plan and review MySQL/InnoDB schema, indexing, query tuning, transactions, and operations. Use when creating or modifying MySQL tables, indexes, or queries;…
Overview and information about Neki, the sharded Postgres product by PlanetScale. Load when working with Neki-related tasks and the need to scale or shard…
A concise feature matrix for deciding which PlanetScale safety, observability, and automation recommendations apply by engine.
Inspect an application repository connected to PlanetScale and recommend SQLCommenter-compatible query tagging packages and conventions.
Configure safe agent behavior around PlanetScale MCP, Insights, schema recommendations, and repository work without autonomous production mutation.
Use PlanetScale Insights and SQLCommenter-style query tags to attribute database load, identify risky queries, and prepare safe Traffic Control or schema…