554 skills · sorted by relevance
Review specifications, plans, and tasks together before implementation. Identify missing task coverage, duplicate requirements, unclear wording, and conflicting decisions, then receive a prioritized report with recommendations without changing project files.
Build research slides from text sources using Slidev, Marp, Reveal.js, or Quarto. Keep source files manageable, reuse exported figures, and produce reproducible PDF presentations with a clear sequence and one conclusion per slide.
Structure PyTorch training code with PyTorch Lightning, separating model logic, data preparation, and training settings. Use templates and configuration examples to add checkpoints, experiment logs, and distributed training that runs across multiple GPUs or TPUs.
Analyze git history to map contributors to security-sensitive files, identify reliance on too few people, and find stale areas. Export CSV and JSON results for ownership reviews, graph exploration, and comparison with CODEOWNERS.
Prepare a complete scholarly publication package, from manuscript sources and submission attachments to reviewer responses and final files. Organize journal or conference requirements, figure specifications, revision tracking, and repeatable build steps around one authoritative manuscript source.
Use RDKit in Python to read molecular structures, calculate properties such as molecular weight, find similar compounds or specific structural features, and generate molecular drawings and 3D coordinates for chemistry research.
Automates computational chemistry through Rowan's Python API, including molecular property prediction, structure optimization, and protein–ligand binding predictions. Submits cloud calculations, handles batches of molecules, tracks workflow status, and retrieves results without a local compute cluster.
Find reusable Agent Skills by keyword, category, or tag through prompts.chat. Review descriptions and included files, retrieve a chosen skill, and install its instructions, reference documents, scripts, and configuration files for Claude.
Plan and audit preprocessing for grouped time-series data, such as matches or patient records. Check missing-value handling, scaling scope, feature meaning, and data leakage, where information unavailable at prediction time enters model inputs.
Prepare code review requests with an implementation summary, requirements, and the exact Git commit range. Assemble reviewer instructions and organize follow-up actions by severity after a feature is completed or before changes are merged.
Build image and video AI systems for object detection and segmentation, which identifies separate image regions. The skill covers custom model training, dataset pipelines, inference optimization, real-time processing, and deployment and monitoring in production.
Explore research ideas through conversation, question existing assumptions, and connect methods across disciplines. The skill helps identify research gaps, compare ways to combine papers, and summarize promising directions with practical next steps.
Manage Zotero reference libraries through Python: search, create, update, and delete records, organize collections and tags, upload PDF attachments, and export citation data for research workflows.
Evaluate scientific papers and claims by examining study design, statistics, bias, and the strength of supporting evidence. Helps distinguish supported conclusions from overstatements and provides constructive recommendations for improving research methods and interpretation.
Draft research funding proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Organize research aims, methods, budgets, timelines, and societal benefits around each agency’s application format and review criteria.
Design and improve prompts and structured responses for AI applications. The skill also guides evaluation, retrieval augmented generation, which uses retrieved material to inform answers, and agent architecture, with references and scripts for production workflows.
Guides single-cell RNA-seq analysis, which examines gene activity in individual cells. Covers data loading, quality checks, clustering, marker genes, cell type annotation, and plots, with AnnData handling and scVI/scANVI workflow planning.
Clarify an existing feature specification before implementation planning. The skill prioritizes consequential gaps, asks focused questions one at a time, updates the specification with accepted answers, and summarizes unresolved decisions and recommended next steps.
Draft and revise scientific manuscript prose from research notes and results. Organize sections, write abstracts and figure captions, integrate citations, and refine terminology and clarity while following study reporting guidelines and journal requirements.
Build production systems for machine learning models, from deployment to monitoring and retraining. The skill also guides LLM integration and retrieval augmented generation, which uses retrieved information to support answers, with scripts and architecture references.
Evaluate existing code review comments against the actual codebase before making changes. The skill guides clarification, technical responses, prioritized fixes, and individual testing, helping assess whether suggestions fit current behavior and compatibility requirements.
Create scientific plots for manuscripts with consistent layouts, accessible colors, and error bars showing uncertainty. Use matplotlib, seaborn, or plotly to prepare multi-panel figures and export files with publication-specific sizes and resolution.
Manage repeated work on a task in Codex with iteration limits, completion conditions, and saved progress. Advance iterations manually with the default engine, or use the optional open-ralph-wiggum command-line tool for automatic iteration.
Create slides for research talks, conferences, and thesis defenses. Plan the narrative and timing, incorporate figures and citations, and produce PDF slides or editable PowerPoint presentations with consistent visual design.