scientific-visualization
Meta-skill for generating publication-ready scientific figures, multi-panel layouts, and journal-compliant visualizations using Python's matplotlib, seaborn, and plotly libraries.
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585 skills found
Meta-skill for generating publication-ready scientific figures, multi-panel layouts, and journal-compliant visualizations using Python's matplotlib, seaborn, and plotly libraries.
A unified document processing gateway for PDF parsing, text extraction, conversion, and document manipulation across multiple local and cloud providers.
CLI-based Linear integration for AI-assisted task management, issue tracking, and automated development workflows.
Manage serverless messaging, task scheduling, and webhook verification with the official Upstash QStash JavaScript/TypeScript SDK.
Autonomous recursive execution engine for indiiOS that manages task completion, state verification, and error handling.
Fetch and parse transcripts from YouTube and Bilibili videos for summarization, QA, and content extraction using yt-dlp.
Debugs deterministic Sui simtest failures using automated logging and the scientific method.
Extract specific fields from YAML files efficiently without reading entire files, saving 80-95% of context window usage.
Advanced Gemini-powered web search plugin with smart caching, subagent context isolation, and automated query optimization.
Design comprehensive product metric dashboards, define KPIs, and establish monitoring plans with data-driven visualization, alert thresholds, and framework integration.
Python toolkit for mass spectrometry data processing. Enables spectral file importing (mzML, MGF, MSP), metadata harmonization, peak filtering, and calculating spectral similarity scores (cosine, modified cosine) for metabolomics.
Enforce Test-Driven Development (TDD) via pre-commit hooks and CI/CD coverage gates. Automates test execution and ensures compliance with minimum code coverage thresholds.