機器學習

Generate HTML-based presentations with reveal.js or similar frameworks. Use when creating web-based presentations.

provides expert guidance on lord, a minimalist paas cli tool for deploying docker containers via ssh. use when user mentions lord deployment, docker container deployment, traefik configuration, remote hosting, or paas management and has a lord.yml file in their repo directory.

Knowledge about pyecharts chart creation, HTML report generation, and visualization best practices

Provides reference documentation and examples for all of the available Flowbite TailwindCSS HTML UI Components plus the related Typography and Forms plugins.

Expert guidance for software testing and quality assurance. Use when the user asks to write tests, create test plans, review code for bugs, perform code reviews, write test cases, set up testing frameworks, debug issues, validate requirements, create bug reports, perform regression testing, or improve test coverage. Triggers on testing, QA, quality assurance, test cases, bug reports, test automation, unit tests, integration tests, E2E tests, test coverage, debugging, code review.

Execute golden tests that compare the extracted OCaml interpreter against MLIR toolchain output. Use when validating semantics implementation or debugging differences between formal semantics and MLIR behavior.

Deep methodology knowledge for ML-NMR including IPD/AgD integration, population adjustment, numerical integration, and prediction to target populations. Use when conducting or reviewing ML-NMR analyses.

Generate devhub.toml configuration files and manage multi-project development environments. Use when setting up projects, creating service configs, starting/stopping services, checking status, or managing development workflows. Triggers on mentions of devhub, project setup, service management, or development environment configuration.

Auto-update project state files on significant milestones. Enables seamless cross-session continuity. Triggers at 80% context gate and milestone completion.

Render the book into HTML or PDF formats using Quarto. Use when the user wants to "render the book", "build the book", "generate the book", or create HTML/PDF output.

Render the book into HTML (gitbook) or PDF formats. Use when the user wants to "render the book", "build the book", "generate the book", or create HTML/PDF output.

Using data-* attributes as the HTML/CSS/JS bridge for state, variants, and configuration. Use when managing element state, styling variants, or configuring behavior without JavaScript classes.

This skill should be used when the user wants to bump the version number in the workspace. It updates versions across all pyproject.toml files (root, tde, and tda packages) and the CHANGELOG.md to keep them synchronized.

Generate bulletproof HTML email code that renders correctly across Gmail, Outlook, Apple Mail, Yahoo, and mobile clients. Use when creating HTML emails, email templates, or any HTML content for email delivery. Handles table-based layouts, inline CSS, MSO conditionals, and cross-client compatibility.

Generate properly structured YAML configuration files for applications, services, and infrastructure with correct syntax and common patterns. Triggers on "create YAML config", "generate YAML for", "YAML configuration file", "config.yml for".

GitHub CLI (gh) command reference for repository search, code discovery, CI/CD monitoring, workflow authoring, and automation. Triggers on "gh" commands, "github cli", searching repos for files/directories (.skilz, .cursor, .codex, Dockerfile), monitoring GitHub Actions workflows, checking PR CI status, downloading artifacts, creating PRs/issues/repos from command line, triggering workflows, forking repos, batch operations, "write a workflow", "github actions", "CI/CD pipeline", "workflow yaml", and "matrix builds". Use for gh search, gh run, gh pr, gh issue, gh repo, gh workflow, gh api, workflow authoring, and automating GitHub operations.

单细胞分析最佳实践集合——目录索引自动发现，完整抓取HTML/MD与代码块

Master SOTA data prep for Kaggle comps: automated EDA (Sweetviz), cleaning (Pyjanitor), and feature selection (Polars + XGBoost) for medium datasets (100MB–5GB) in Colab.

Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal processing, feature detection, peptide identification, and quantitative analysis. Apply when working with mass spectrometry data, analyzing proteomics experiments, or processing metabolomics datasets.

Enterprise GitHub issue labeling orchestrator with semantic label taxonomy, AI-powered auto-labeling, label hierarchy system, workflow automation, issue triage acceleration, and stakeholder communication; activates for issue classification, label management, workflow automation, priority assignment, and team communication