AI Agent Skills

Python Package to Extract and plot Financial Data

A Python CLI tool to scan, detect, and plot stock chart patterns

Assemble multiple plots into ONE publication-ready multi-panel journal figure (e.g. Figure 1 with panels A, B, C). Use whenever the user asks to combine, compose, or lay…

Statistical visualization on matplotlib + pandas. Distributions (histplot, kdeplot, violin, box), relational (scatter, line), categorical, regression, correlation heatma…

Small package that helps to find support and resistance levels and plot them on chart

Best practices for analytics, data analysis, and visualization using Python, pandas, matplotlib, seaborn, and Jupyter notebooks. Use when performing exploratory data ana…

Audit, redesign, generate, and improve IEEE manuscript figures, tables, captions, result presentation, plotting scripts, visual polish, hybrid Python/R plus vector-edito…

Detect objects in drone videos and plot them on a map

A Codex skill for turning plot summaries into cinematic AI video prompts. It diagnoses story, emotion, structure, shot design, micro-expressions, sound, reference image…

Use this skill to produce standalone, publication-ready PNG graphics and reproducible matplotlib scripts from tabular data (CSVs or DataFrames). This tool is built speci…

This skill should be used when the user asks about "pantsing", "discovery write", "write without an outline", "discovery draft", "write into the dark", "story kernel", "…

Scripts for Wasserstein deconvolution of 1H NMR mixture spectra against reference spectra, reaction product prediction, time-series kinetics, and spectral plotting.

Predict LC-MS/MS (MS2, tandem mass spectra) from SMILES via ICEBERG, a two-stage deep neural network. Outputs predicted m/z vs intensity spectrum, fragment ion SMILES, a…

Generate publication-quality visualizations for 3DGS research: radar charts, comparison tables, method timelines. Static (PDF/PNG) and interactive (HTML) output. Use whe…

Query visual scientific figure references, show candidates for human preference selection, export selected reference bundles, and guide plotting agents from human-select…

Run the LIBERO inference-time scaling experiment: debug Long-Pro tasks at frozen library snapshots, evaluate token-budget checkpoints, and plot Pareto curves.