1.8K skills · sorted by relevance
Build editable Three.js worlds from text or structured briefs, with terrain, distinct regions, landmarks, vegetation, and camera paths. Review the environment from multiple viewpoints and refine selected areas while preserving the overall layout and reproducible settings.
Set up lighting and shadows in Three.js scenes. Choose light types, create outdoor or studio lighting, use environment images to illuminate materials, and tune shadow settings to balance appearance with rendering performance.
Configure images and videos as surface textures in Three.js, and use environment images for backgrounds and reflections. Adjust placement, color settings, repetition, and filtering, then manage texture memory through compression, reuse, and disposal.
Understand how Codex Rules adds project instructions and file-specific rules to agent context. Check supported rule locations, when rules are applied, and environment settings for modes, sources, and text limits.
Build and evaluate single-agent reinforcement learning experiments, where an agent learns actions from rewards. Use Stable Baselines3 to choose algorithms, create environments, monitor training, and save models with the normalization data needed for consistent evaluation.
Review the journey from discovering an API to receiving the first successful response. Identify delays in signup, authentication, setup, and documentation, then plan improvements using test environments, interactive examples, clearer errors, and measurements of progress.
Define security controls for AI coding agents used by a team. Covers command and file permissions, secret scanning, isolated execution environments, code review gates, and audit trails, with configuration examples to adapt.
Support authorized security assessments of Microsoft Active Directory with guidance on environment discovery, credential risks, authentication weaknesses, and privilege escalation. The material organizes tools and workflows for penetration testing and controlled training environments.
Set up Python projects with uv, manage required packages, and create isolated environments for each project. Covers Python versions, dependency updates, migration from existing tools, and lockfiles that record package versions for repeatable installations.
Prepare an ASP.NET .NET Framework application for Windows Docker containers. Create project-specific build and runtime files, configure environment-based settings and Windows dependencies, and verify that the Docker image builds successfully.
Turn incomplete or intermittent bug reports into a minimal reproduction backed by recorded evidence. Capture the environment, expected and actual results, commands, and remaining unknowns in a brief before diagnosis or repair.
Create, review, migrate, or troubleshoot Azure Developer CLI projects. Align application settings, infrastructure definitions, deployment environments, secrets, and automated delivery workflows while checking that configuration files and deployment requirements agree.
Deploy and manage Vercel projects using access tokens instead of interactive login. Covers selecting the right project and team, preview deployments, environment variables, domains, and checking deployment status and logs.
Deploy web applications to Vercel for production or preview, then check build results, deployment status, and the live URL. The skill also covers linking projects, managing domains, and adding or downloading environment variables through the command line.
Create disposable Linux or macOS computers for running code, testing apps, operating desktop interfaces, and browsing websites. Use isolated environments locally or in the Cua cloud, then delete them when the work is complete.
Audit environment files and repository contents for possible credential leaks, then prioritize findings by severity. Plan credential replacement, improve configuration examples, and establish checks in development and delivery pipelines to reduce accidental exposure.
Assess the external conditions affecting a business across political, economic, social, technological, legal, and environmental factors. Rank their impact and likelihood, then outline strategic responses, indicators to monitor, and contingency plans for market entry or business planning.
Investigate failed tests, type checks, builds, and CI jobs by recording exact evidence and repeating checks in a clean comparison environment. Use the results to distinguish existing failures, newly introduced problems, environment issues, and unresolved cases.
Assess Google Cloud workloads for environmental sustainability using the Well-Architected Framework. Get recommendations on lower-carbon regions, efficient computing and storage, AI energy use, and ongoing emissions measurement with Carbon Footprint.
Helps create and extend Apache Airflow DAGs, workflows that define task order and dependencies, for Managed Service for Apache Airflow. Covers environment checks, version compatibility, coding practices, and local or deployed validation.
Prepare a local development environment for the Data Manager API with authentication and library installation guidance. It covers five programming languages and companion utilities for formatting, hashing, and encrypting user identifiers before ingestion.
Manage separate local development environments for multiple branches using the project's pnpm worktree CLI. Each environment has its own ports and dependencies, with options to share Supabase or isolate database changes for testing.
Set up a CARLA driving evaluation environment for Leaderboard 1.0, 2.0, or 2.1. Match the simulator and scenario_runner versions, configure Python paths, and verify that the required components load correctly.
Develop and verify changes to Apache Beam's Python SDK. Set up a virtual environment, run tests, build installable packages or containers, and run data processing pipelines with the modified SDK.