Total 51,246 skills
Showing 12 of 51246 skills
Expert patterns for 2D/3D camera control including smooth following (lerp, position_smoothing), camera shake (trauma system), screen shake with frequency parameters, deadzone/drag for platformers, look-ahead prediction, and camera transitions. Use for player cameras, cinematic sequences, or multi-camera systems. Trigger keywords: Camera2D, Camera3D, SpringArm3D, position_smoothing, camera_shake, trauma_system, look_ahead, drag_margin, camera_limits, camera_transition.
Manage Notion pages, databases, and comments from the command line. Search, view, create, and edit content in your Notion workspace.
Master Frontend & Web Architecture.
Jmeter Test Plan Creator - Auto-activating skill for Performance Testing. Triggers on: jmeter test plan creator, jmeter test plan creator Part of the Performance Testing skill category.
Generates well-structured unit tests using Vitest with the "given/should" prose format. Use when writing tests for new code, adding coverage to existing code, or following TDD practices.
Advanced Python unit testing framework for customer support tech enablement, covering FastAPI, SQLAlchemy, PostgreSQL, async operations, mocking, fixtures, parametrization, coverage, and comprehensive testing strategies for backend support systems
Analyse GitHub repository activity including issues, PRs, contributors, and engagement
Expo React Native performance optimization guidelines. This skill should be used when writing, reviewing, or refactoring Expo React Native code to ensure optimal performance patterns. Triggers on tasks involving React Native components, lists, animations, images, or performance improvements.
Python scripting with uv and PEP 723 inline dependencies. Use when creating standalone Python scripts with automatic dependency management.
NPM and Node.js package management, project configuration, and dependency troubleshooting.
AI-led stakeholder interviews using LLMREI research-backed patterns. Conducts structured interviews to elicit requirements through context-adaptive questioning, active listening, and systematic requirement extraction.
Battle-tested Claude Code workflows from power users. Self-correcting memory, parallel worktrees, wrap-up rituals, and the 80/20 AI coding ratio. Distilled from real production use.