Geospatial Active Inference framework with 45 modules for ecological, civic, and commercial spatial analysis. Use when working with geospatial data, Active Inference, Bayesian modeling, H3 hexagonal indexing, spatial statistics, or any domain-specific geographic analysis (agriculture, health, economics, risk, climate…
This document describes the Leeroopedia MCP tools available during the with-KB benchmark run. It is a standalone reference and is not fed to the agents automatically.
Tidy the layout of an already-built Simulink model — make it compact and readable, remove block overlaps and lines that cut through blocks, and honestly minimize line-line crossings without ever falsely promising zero. Quantifies block overlaps, line-through-block hits, line-line crossings, model extent, and graph…
Use when the user asks to plot for the paper, make a manuscript or journal figure, export a publication or thesis PDF, or prepare supplementary vector graphics—in R with ggplot2 only or Python with plotnine only. Enforces vector PDF, 85 mm and 180 mm widths, one Times text size with no plot title, Wong discrete…
Use NEPA-MCP for project-area environmental screening, biological and cultural resources, jurisdiction, soils, protected lands, flood risk, air quality, and regulatory research.
This skill guides materials engineering researchers through four structured stages — from a raw idea to a fully planned experiment — with human-in-the-loop confirmation at each critical checkpoint.
Use when the user asks Codex, Claude Code, ChatGPT-style coding agents, or another AI agent to automate, inspect, run, or debug Abaqus through sim-cli. Supports Abaqus/CAE noGUI workflows, batch jobs, model inspection, ODB diagnostics, bounded execution, artifact reporting, and troubleshooting. Requires a user-owned…
Use when Experiment must build, run, compare, or record reproducible ML/AI paper experiments locally or through the Research Assistant-configured ssh-bash tool and verified SSHFS workspace, including baselines, datasets, controlled trials, multi-seed formal evidence, ablations, and results promotion. Examples: user…
Design, estimate, validate, and write up a difference-in-differences analysis, using the post-2018 heterogeneity-robust toolkit with an explicit statement of which parallel-trends assumption is imposed. TRIGGER on "difference-in-differences", "DiD", "TWFE", "event study", "staggered adoption", "parallel trends"…
Guide for using the LESS radiative transfer model via pyLessSDK. Use when the user asks to create, configure, or run LESS simulations, set up scenes with vegetation/terrain, configure sensors (orthographic, perspective, fisheye, LiDAR, TRAC, photon tracing), define optical properties, or post-process simulation…
Generates R implementations for Six Sigma / statistical-process-control tasks — control charts (X-bar R, I-MR, P, NP, C, U), process capability (Cp/Cpk/Pp/Ppk), DPMO and sigma level, Pareto and run charts, histograms, box plots, scatter/regression, correlation, hypothesis tests (1- and 2-sample t, proportion…
Reviewer-gated extraction skill for deriving L2 structured artifacts from ingested normalized sources. Runs MCP terminology enrichment, presents batch proposals for human review, records decisions via concept review CLI, and writes finalized topics/ /structured/concepts/concepts.yaml plus an extract plan that includes…
A Chinese-language assistant for turning a Melodie agent-based model design into code, test data, and documentation. Melodie is a framework for building simulations whose individual entities interact over time.
Move fast AND rigorously through the full AI/ML research loop: framing a testable hypothesis, reviewing the literature, reproducing a baseline, designing leak-free experiments, tracking runs, analyzing results honestly, and writing up. Use this whenever the user is doing machine-learning or AI research — reading or…
Use when and ONLY when the user explicitly requests paper writing and G4 (write-ready) gate has passed — handles LaTeX structure, senior-level writing, reference verification, and iterative refinement.
Central hub for academic paper writing with selectable author styles. Use when the user asks to write, revise, evaluate, or distill any section of an academic paper.
An R-language guide for logistic regression, a statistical method for modeling outcomes such as yes/no results or categories from one or more predictors. It covers several logistic regression types and ways to interpret and assess the models.
A workflow for producing a Chinese scientific review article from mapped and retrieved research literature. It uses acaflow to map papers and QingHydrogen to search for references for each topic branch.
An image-to-editable-SVG tool for research figures, method diagrams, architecture diagrams, and flowcharts. SVG is a vector image format whose parts can be edited individually in tools such as Figma.
An image-annotation workflow for creating COCO detection and instance-segmentation labels for selected object categories in one image. COCO is a common format for training and evaluating computer-vision models.
Write correct, idiomatic THRML code, centered on Ising machines and how they are trained. THRML is Extropic's JAX-based GPU simulator for the block Gibbs sampling programs that run natively on Extropic's probabilistic computing hardware. Use this skill whenever the user mentions THRML, Extropic, probabilistic…
Rewrite, restructure, translate, or audit academic manuscripts so first-time readers can identify the problem, contribution, evidence, value, and limitations without decoding internal jargon or formulaic prose. Use for English or Chinese papers, abstracts, introductions, methods, results, conclusions, highlights…
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: