Agent skills for Claude Code

Use when building schemes, spectra, structures, and reaction/mechanism figures in ACS style for a Journal of the American Chemical Society…

Analyzes research behavior and identifies reading patterns to recommend relevant literature and track academic progress.

Survey, analyze, and synthesize philosophical literature on topics, identify major positions, trace debates, and locate gaps in scholarly…

Use when situating an Art Bulletin article in the historiography and scholarly literature of art history.

Use when targeting Science Robotics (Sci Robot) or deciding whether a robotics manuscript fits this AAAS venue.

Shared Python package for Science Skills, currently containing http_client -- a unified HTTP client with rate limiting, retries, and…

Use when deciding which sci-* sub-skill to invoke next, or when sequencing a manuscript from significance test through reviewer rebuttal…

Guides researchers in drafting structured, point-by-point author response letters and manuscript revisions for Scientia Sinica…

Designs rigorous experimental protocols and evidence-to-claim mappings for papers submitted to Scientia Sinica Informationis (SSI).

Audits and prepares academic manuscripts for submission to Scientia Sinica Informationis with comprehensive formatting, ethics, and…

Evaluates research novelty, target journal fit, and section positioning for submissions to Scientia Sinica Informationis and related…

Orchestrates the end-to-end academic publishing lifecycle for submissions to Scientia Sinica Informationis from topic selection to…

Use when the user needs to design, review, adapt, or rehearse scientific communication for a live, spoken, visual, or audience-facing…

Optimizes academic manuscripts for the Scientific Decision Making journal by aligning framing, methodology, and formatting with its…

Use only when the current deliverable is holistic, prioritized, multi-lens critique of audience-facing scientific communication or…

Optimizes academic manuscripts for submission to the Scientific Management Research journal, focusing on innovation policy and S&T…

This is the core skill for the deep research and writing tool—combining AI-driven deep research with well-formatted written outputs.

Machine learning: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-validation, Pipelines.

Scikit-learn model training skill with cross-validation, hyperparameter tuning, pipeline construction, and model serialization.

When to activate: scikit-learn, sklearn, Pipeline, ColumnTransformer, GridSearchCV, cross-validation, custom transformers, feature…

Use when the user has a clear-enough task and wants it decomposed into batched worker sub-tasks before any code is written.