Machine Learning
1913 skills in Data & AI > Machine Learning
filter-js-from-html
Guidance for removing JavaScript from HTML while preserving structure and formatting. This skill applies when filtering XSS vectors, sanitizing HTML content, removing script tags and event handlers, or building HTML sanitization tools. It covers comprehensive XSS vector identification, format-preserving transformations, and verification strategies.
train-fasttext
Guidance for training FastText text classification models with constraints on model size and accuracy. This skill should be used when training FastText models, optimizing hyperparameters, or balancing trade-offs between model size and classification accuracy.
caffe-cifar-10
Guidance for building Caffe from source and training CIFAR-10 models. This skill applies when tasks involve compiling Caffe deep learning framework, configuring Makefile.config, preparing CIFAR-10 dataset, or training CNN models with Caffe solvers. Use for legacy ML framework installation, LMDB dataset preparation, and CPU-only deep learning training tasks.
init-agents-config
Generate .agents.yml config from user answers. Provides tech stack templates for Rails, Python, Node, and Generic projects.
break-filter-js-from-html
Guidance for bypassing HTML/JavaScript sanitization filters in security testing contexts. This skill should be used when tasked with finding XSS filter bypasses, testing HTML sanitizers, or exploiting parser differentials between server-side filters and browsers. Applies to CTF challenges, authorized penetration testing, and security research involving HTML injection and JavaScript execution through sanitization bypasses.
ln-340-story-quality-gate
Story-level quality orchestrator. Pass 1: code quality -> regression -> manual testing (fail fast). Pass 2: verify tests/coverage -> mark Story Done. Auto-discovers team/config.
technical-writer
Expert communication craftsperson for morphir-dotnet. Master of Hugo/Docsy, Mermaid/PlantUML diagrams, and technical writing. Use when user asks to create documentation, update docs, write tutorials, create diagrams, fix Hugo issues, customize Docsy, validate examples, check links, enforce style guide, or solve communication challenges. Triggers include "document", "docs", "README", "tutorial", "example", "API docs", "style guide", "link check", "hugo", "docsy", "diagram", "mermaid", "plantuml", "visual", "navigation".
ui-ux-pro-max
UI/UX 设计情报库:50 种风格、21 套配色、50 组字体搭配、20 类图表、8 个技术栈(React、Next.js、Vue、Svelte、SwiftUI、React Native、Flutter、Tailwind)。动作:plan、build、create、design、implement、review、fix、improve、optimize、enhance、refactor、check UI/UX code。项目:website、landing page、dashboard、admin panel、e-commerce、SaaS、portfolio、blog、mobile app、.html、.tsx、.vue、.svelte。元素:button、modal、navbar、sidebar、card、table、form、chart。风格:glassmorphism、claymorphism、minimalism、brutalism、neumorphism、bento grid、dark mode、responsive、skeuomorphism、flat design。主题:color palette、accessibility、animation、layout、typography、font pairing、spacing、hover、shadow、gradient。
outside-in-testing
Generates agentic outside-in tests using gadugi-agentic-test framework for CLI, TUI, Web, and Electron apps.Use when you need behavior-driven tests that verify external interfaces without internal implementation knowledge.Creates YAML test scenarios that AI agents execute, observe, and validate against expected outcomes.Supports progressive complexity from simple smoke tests to advanced multi-step workflows.
fetch-url
渲染网页 URL,去噪提取正文并输出为 Markdown(默认)或其他格式/原始 HTML,以减少 Token。
ml-pipeline
Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, or managing experiment tracking systems.
setup-tester
Test and validate the dotfiles setup process for this repository. Use when the user wants to test the setup script, validate the installation, verify symlinks, troubleshoot setup issues, or check that dotfiles are properly configured. Triggers include "test setup", "validate installation", "check dotfiles", "verify setup", or troubleshooting requests.
brand-yml
Create and use brand.yml files for consistent branding across Shiny apps and Quarto documents. Use when working with brand styling, colors, fonts, logos, or corporate identity in Shiny or Quarto projects. Covers: (1) Creating new _brand.yml files from brand guidelines, (2) Applying brand.yml to Shiny for R apps with bslib, (3) Applying brand.yml to Shiny for Python apps with ui.Theme, (4) Using brand.yml in Quarto documents, presentations, dashboards, and PDFs, (5) Modifying existing brand.yml files, (6) Troubleshooting brand integration issues. Includes complete specifications and framework-specific integration guides.
sync-checker
Verify that dotfiles are properly symlinked and synchronised across the system. Use when the user wants to check symlink status, verify dotfiles setup, diagnose sync issues, find broken links, or ensure configurations are correctly deployed. Triggers include "check sync", "verify symlinks", "dotfiles status", "check setup", or troubleshooting symlink issues.
legacy-bridge
Backward compatibility bridge that translates legacy @load patterns to new Skills format. Enables seamless migration with zero breaking changes during 6-month transition period.
mlops
MLOps engineering covering ML pipeline design, model versioning, experiment tracking, deployment strategies, drift detection, and monitoring for production ML systems with tools like MLflow, Kubeflow, and model registries
model-deployment
Model-Deployment standards for model deployment in Ml Ai environments.
model-development
Model-Development standards for model development in Ml Ai environments.
railstart-preset-builder
Guide for creating railstart preset configuration files. Use when building new presets, customizing Rails 8 app generation, creating team-specific configurations, or defining opinionated Rails stacks. Covers YAML structure, ID-based merging, post-action configuration, and testing presets for the railstart gem.
agent-multi-agent-coordinator
Expert multi-agent coordinator specializing in complex workflow orchestration, inter-agent communication, and distributed system coordination. Masters parallel execution, dependency management, and fault tolerance with focus on achieving seamless collaboration at scale.