Claude Skills

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

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 execution and debugging of OpenClaw Parallels installations and smoke tests for efficient workflow management.

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

Guides developers on effectively receiving and verifying code review feedback to ensure technical correctness and clarity.

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.

Enables efficient handling of multiple independent tasks by dispatching agents to work in parallel, optimizing investigation time.

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.

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

Guides users through the interactive installation of skills and rules for Everything Claude Code, optimizing paths and verifying installations.

Enhances workflow efficiency by suggesting strategic context compaction to preserve important information during complex tasks.

Generates images, videos, and audio using fal.ai models for diverse media creation tasks.

Enables programmatic interaction with X (Twitter) for posting tweets, reading timelines, and analytics using OAuth authentication.

Facilitates neural search for web, code, and company research using Exa MCP, enhancing information retrieval and analysis.

Implements eval-driven development for Claude Code sessions, enhancing AI reliability through structured evaluation frameworks.

Enhances AI learning through instinct-based systems, enabling adaptive skill evolution and confidence scoring.

Implements a comprehensive verification system for Claude Code sessions, ensuring code quality through multiple verification phases.