Results for “guidance”

Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, latest/current/default-model prompting guidance, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains.

Routes frontend design tasks to 48 specific UI styles, providing color palettes and implementation guidance for websites, app screens, or UI components.

Create, update, or migrate Wear OS projects using Compose Material3, Foundation, and Navigation3 libraries with official component samples and migration guidance.

Provides file paths to language-specific extension files for the code-testing pipeline, enabling discovery of guidance for .NET, Python, TypeScript, and other languages.

Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.

Provides expert guidance for distributed training with DeepSpeed, covering ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, and sparse attention.

Generate a professional blog post header image sized for web (1200×628) with optional title composition guidance.

Guidance for writing Remotion React markup with animation patterns, media handling, sequences, effects, and advanced features like 3D, audio visualization, and parameterized videos.

Selects and reviews Queueable, Batch, Future, and Schedulable Apex for callouts, large data processing, retries, and background work, with decision guidance and validation checklists.

Runs Semgrep static analysis to find bugs and security vulnerabilities, with guidance on installation, rule selection, custom rule writing, and CI/CD integration.

Numerical computing with MATLAB and GNU Octave for matrix operations, data analysis, visualization, and scientific computing, including script execution and syntax guidance.

Provides expert guidance on modern SQL, cloud-native databases, and query optimization, covering performance tuning, data modeling, and hybrid analytical systems.

Generates Angular code and provides architectural guidance for projects, components, services, reactivity, forms, dependency injection, routing, accessibility, animations, styling, testing, and CLI tooling.

Query and manage ClickUp tasks, spaces, lists, and assignees via the REST API, with helper scripts for common operations and guidance on pagination and subtasks.

Structured guidance for cloud architecture covering accounts, networking, and well-architected trade-offs, with a four-stage workflow from context clarification to operational follow-through.

Provides SwiftUI architecture guidance covering state management with @Observable, view composition, type-safe navigation, performance optimization, and modern iOS/macOS UI best practices.

Writes, rewrites, or improves marketing copy for web pages, including headlines, CTAs, and full page sections, with guidance on structure, tone, and best practices.

Creates platform-specific social media content strategies and posts for LinkedIn, X, Instagram, TikTok, and Facebook, with guidance on goals, audience, and brand voice.

Provides German data protection compliance guidance covering DSGVO, BDSG, and TDDDG, including legal bases, retention periods, cookie rules, and standard wording templates.

Provides French data protection compliance guidance covering RGPD, Loi Informatique et Libertés, and LCEN, including retention periods, cookie rules, and standard wording templates.

Provides expert guidance on modern Java 21+ development, covering virtual threads, pattern matching, Spring Boot 3.x, GraalVM, and cloud-native enterprise patterns.

Provides comprehensive guidance for performing symbolic algebra, calculus, linear algebra, equation solving, physics calculations, and code generation using the SymPy Python library.

This skill should be used when the user asks to "create a hookify rule", "write a hook rule", "configure hookify", "add a hookify rule", or needs guidance on hookify rule syntax and patterns.

v0 by Vercel expert guidance. Use when discussing AI code generation, generating UI components from prompts, v0 CLI usage, v0 SDK/API integration, or integrating v0 into development workflows with GitHub and Vercel deployment.

Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.

Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling.

Provides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms. Use when you want clean RL abstractions, easy algorithm experimentation, or scalable training with Monarch and TorchTitan.

Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.

Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching. Use when reverse-engineering model algorithms, studying attention patterns, or performing activation patching experiments.

Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.

Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling.

Provides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms. Use when you want clean RL abstractions, easy algorithm experimentation, or scalable training with Monarch and TorchTitan.

Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.

Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching. Use when reverse-engineering model algorithms, studying attention patterns, or performing activation patching experiments.

Use when designing or implementing product-grade web motion like Stripe, Linear, Apple, and Vercel. Covers motion principles, easing/duration defaults, choreography patterns, scroll/hover interactions, performance, accessibility (reduced motion), and implementation guidance.

Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling.