Codex Skills

Automates the generation of OpenClaw release changelogs from git history, ensuring accurate and user-focused release notes.

Facilitates efficient testing and debugging of OpenClaw tests, CI checks, and Docker E2E lanes to ensure reliable software releases.

Facilitates remote validation across multiple OS using the Crabbox wrapper for OpenClaw, ensuring CI parity and efficient testing.

Facilitates OpenClaw GitHub issue and PR management, enabling efficient review, triage, and assignment for maintainers.

Routes plain-language requests for various coding agents into OpenClaw ACP runtime sessions or direct acpx-driven sessions.

Facilitates automated code reviews using Codex, ensuring quality and security in software development processes.

Facilitates the creation and verification of AI skills using a test-driven development approach for effective documentation.

Establishes how to find and use skills, requiring Skill tool invocation before any response.

Facilitates the execution of implementation plans with critical reviews and structured task management for effective project delivery.

Provides advanced motion patterns for React/Next.js, enabling complex animations like drag & drop, gestures, and SVG path drawing.

Generates thorough, cited research reports from multiple web sources using firecrawl and exa tools for in-depth analysis.

Streamlines video editing workflows using AI for efficient cutting, structuring, and enhancing of real footage.

Provides foundational motion design principles and tokens for React/Next.js, ensuring performance and accessibility in animations.

Facilitates multi-agent orchestration using dmux for parallel workflows, enhancing productivity in AI development tasks.

Enhances search visibility through comprehensive SEO audits, technical improvements, and strategic content optimization.

Provides modern SwiftUI patterns for state management, view composition, and performance optimization in iOS/macOS applications.

Fetches up-to-date documentation for libraries and frameworks using Context7 MCP, enhancing coding assistance with accurate references.

Explores Kotlin Coroutines and Flow patterns for structured concurrency and reactive programming in Android and Kotlin Multiplatform projects.

Prevents Ethereum hashing bugs in JavaScript and TypeScript by ensuring the correct use of Keccak-256 over NIST SHA3.

Helps users manage response depth and token usage by offering choices for answer length before responding.