Use when building ML/AI apps in Rust. Keywords: machine learning, ML, AI, tensor, model, inference, neural network, deep learning, training, prediction, ndarray, tch-rs, burn, candle, 机器学习, 人工智能, 模型推理

Model product UI actions from user intent questions after a meaningful outcome, completion, created resource, imported data, uploaded file, synced integration, report, deployment, automation, review state, handoff, or workflow milestone. Use when deciding which actions to show, hide, group, name, prioritize, defer, or place across outcome, item, selection, continuation, navigation, recovery, and assistance scopes.

Improve test coverage for shell features and commands using reference test suites from yash, GNU coreutils, and uutils/coreutils

Focus on a specific task with context loading

Guided git commit with atomic commit analysis and conventional commit format

Handle XML layouts, ConstraintLayout, Fragments, ViewBinding, DataBinding, and classic Android UI lifecycle patterns.

Handle XML layouts, ConstraintLayout, Fragments, ViewBinding, DataBinding, and classic Android UI lifecycle patterns.

Generate professional prior authorization request letters for insurance companies with proper clinical justification and formatting.

Use blind-review-sanitizer for academic writing workflows that need structured anonymization, explicit assumptions, and clear output boundaries for double-blind submission.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Electron development guidelines for building cross-platform desktop applications with JavaScript/TypeScript

Git conventions and workflow guidelines using Conventional Commits, branching strategies, and best practices for version control

Guidelines for developing GraphQL APIs and React applications using Apollo Client for state management, data fetching, and caching

Google Cloud Platform (GCP) development best practices for Cloud Functions, Cloud Run, Firestore, BigQuery, and Infrastructure as Code.

CI/CD best practices for building automated pipelines, deployment strategies, testing, and DevOps workflows across platforms

Guidelines for implementing Auth0 authentication with best practices for security, rules, actions, and SDK integration

GitLab best practices for merge requests, CI/CD pipelines, issue tracking, and DevOps workflows

Guidelines for Blazor development including component lifecycle, state management, and performance optimization