Consult an archived reference for classifying errors, reading stack traces, investigating root causes, and recording reusable fixes. Retained for migration, it documents a debugging process while directing current bug investigation to systematic-debugging.
Edit and compare phylogenetic trees, diagrams showing evolutionary relationships. Use ETE to identify gene duplication and speciation events, add NCBI taxonomy information, and export annotated tree figures as PDF, SVG, or PNG files.
Assess language models with over 60 academic benchmark tests using consistent prompts and scoring. Compare models, track performance during training, and organize research results with support for HuggingFace models, vLLM, and APIs.
Evaluate trained machine learning models using metrics suited to the task. Compare candidates consistently, review decision thresholds and probability estimates, and identify weaknesses in validation before deployment or publication.
Explore scientific data across more than 200 file formats to understand its structure, contents, and quality. Produce Markdown reports with statistical summaries, format-specific findings, and recommendations for preprocessing, visualization, and further analysis.
Turn Figma screens and components into code that follows an existing project's conventions. The workflow retrieves design details and assets, reuses existing components, and checks the resulting interface against Figma screenshots.
Organize scattered files by type, purpose, or date, find duplicates, and review older material. Get a proposed folder structure, then approve file moves and renaming, with confirmation required before any deletion.
Search local VCO/vibe documentation, configuration, and skill descriptions for evidence behind rules or recommendations. Retrieve ranked excerpts with file paths and line numbers so explanations can point directly to the supporting source passages.
Set up and run fluid dynamics simulations in Python to study turbulence, vortices, shallow water, and layered flows. Covers choosing equation solvers, configuring parameters, parallel execution, and plotting fields and energy spectra.
Find and retrieve economic indicators from FRED, including GDP, unemployment, inflation, and interest rates. Supports comparisons across periods, changes in reporting frequency, historical releases before revisions, regional data, and publication schedules for economic research.
Check CPU cores, GPUs, available memory, and disk space before demanding computing tasks. Save a JSON report with recommendations for parallel workers, GPU use, and processing data in chunks when memory is limited.
Analyze genomic regions with gtars using Python or command-line tools. Find overlaps, generate coverage tracks showing read density, prepare regions as tokens for machine learning, and split single-cell fragment data for further analysis.
Coordinate multiple AI agents under a lead coordinator for research, development, and review. Assign specialized roles, use voting to make shared decisions, preserve collective knowledge, and pause or resume work through managed sessions.
Develop testable scientific hypotheses from observations, preliminary data, and published evidence. The skill compares competing explanations, defines measurable predictions, proposes experiments, and organizes evidence and decision criteria into a structured research report.
Write Python tests with Hypothesis that generate varied inputs and check properties, rules that should always hold. Discover edge cases, reduce failures to simpler examples, and save failing inputs for replay alongside conventional tests.
Generate and edit images through the OpenAI Image API using a bundled command-line script. Create product shots, illustrations, and covers, replace backgrounds, remove objects, produce transparent images, or generate batches of variations.
Find and download public cancer imaging datasets from NCI Imaging Data Commons. Filter scans and pathology images by metadata, preview them in a browser, check licenses, and generate source citations for research or AI training.
Prepare documentation for a medical device quality management system under ISO 13485. Review existing documents for gaps, draft quality manuals and procedures, and organize device files with prioritized actions for certification preparation.
Create and refine Jupyter notebooks for experiments, exploratory analysis, or tutorials. Bundled templates help organize runnable code and short explanations into clear steps, while validation guidance supports notebooks that others can read and rerun.
Build and deploy biological data analysis pipelines on Latch using Python, Nextflow, or Snakemake. The skill also guides cloud file management, sample tracking, and CPU, memory, and GPU settings for individual processing tasks.
Create and revise research posters in LaTeX, a document typesetting system. Arrange columns, text, existing figures, and QR codes, then check page dimensions, font embedding, image resolution, and readability before printing.
Search multiple academic databases, screen papers against defined criteria, and compare findings by theme. Produce literature reviews in Markdown and PDF, with documented search methods, study quality assessments, and verified citations in a consistent style.
Organize multi-agent reviews with defined roles for bugs, architecture, integration, and usability. Designed for local Codex workflows with vibe, it combines findings by severity into a shared set of keep, simplify, or remove decisions.
Develop and review machine learning approaches through at least three rounds of critique and refinement. Compare models with simple reference predictions, question data assumptions, and investigate overfitting, feature choices, and evaluation methods before accepting a solution.
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