Software quality assurance analysts and testers
12 skills available
Parallels Discord Roundtrip Skill
Parallels Discord Roundtrip is a skill designed for the OpenClaw personal AI assistant, enabling seamless message round-tripping and task coordination between Discord and the Parallels desktop environment. This skill leverages Discord's real-time communication capabilities to interact with Parallels virtualization environments, supporting cross-platform command execution, file synchronization, and status monitoring. It is ideal for developers and operations personnel who need to manage multiple virtual machines and Discord collaboration scenarios simultaneously, with the AI agent automatically handling message routing and task scheduling to significantly boost productivity.
OpenClaw Testing Skill
The OpenClaw Testing Skill is an example skill within the OpenClaw personal AI assistant ecosystem, designed to demonstrate how to create, organize, and deploy agent skills. Located in the .agents/skills/openclaw-testing directory of the openclaw repository, it includes SKILL.md and other supporting files. This skill showcases the standard structure and best practices for skill development, making it ideal for developers to learn and reference, enabling them to quickly get started in creating their own AI Agent skills.
Control UI E2E
This is an Agent skill for end-to-end UI control, developed as part of the OpenClaw project. It enables AI assistants to directly manipulate graphical user interface elements via command line or scripts, enabling automated testing, interface operations, and workflow control. Core features include: simulating mouse clicks, keyboard input, window management, element locating, and state detection. It is suitable for cross-platform, cross-OS UI automation scenarios such as software testing, data entry, and repetitive interface task automation. The skill emphasizes safety and controllability, supports custom script extensions, and is ideal for developers and test engineers integrating into their workflows.
Heap Leaks Detection Skill
Heap Leaks Detection Skill is a professional tool provided by the OpenClaw platform, designed to automatically detect and diagnose heap memory leaks in applications. It analyzes memory allocation and deallocation patterns to identify unreleased memory blocks, helping developers quickly locate memory leak sources and optimize program performance. Suitable for C/C++, Rust and other languages requiring manual memory management, as well as large long-running server applications. Key features include: automatic heap memory operation scanning, leak report generation, custom detection rules, and CI/CD pipeline integration. Use cases include code review, performance tuning, and stability testing.
Automated Code Review
"Autonomous Code Review" is a core AI code review agent capability built into OpenClaw, specifically designed to automate Git PR/MR code review workflows.
OpenClaw QA Testing Skill
The OpenClaw QA Testing Skill is a professional testing skill within the OpenClaw personal AI assistant ecosystem, designed for quality assurance and automated testing scenarios. Based on the OpenClaw platform, it supports running on any operating system and platform, helping developers efficiently execute test cases, verify software quality, and generate test reports. Key features include cross-platform compatibility, flexible test framework integration, and automated test process management. Suitable for regression testing, functional testing, integration testing, and other scenarios in the software development lifecycle, significantly improving testing efficiency and accuracy.
Node.js Inspect Debugger
Node.js Inspect Debugger is a powerful tool for debugging Node.js applications. It allows developers to connect to running Node.js processes via Chrome DevTools or other compatible debugging clients for breakpoint setting, variable inspection, call stack analysis, and performance profiling. Built on Node.js's built-in inspect protocol, it supports remote debugging, multi-process debugging, memory snapshots, and more, making it suitable for troubleshooting and performance optimization in development, testing, and production environments.
OpenClaw Test Performance Diagnostics
OpenClaw Test Performance is a specialized benchmarking, diagnostic, and optimization tool for OpenClaw test suites and plugin-suite runtimes. It helps developers quickly identify runtime hotspots, analyze CPU and RSS memory usage, detect heap growth trends, and uncover slow coverage paths. With one-click import into the Manus environment, developers can seamlessly integrate it into existing workflows for automated performance evaluation and tuning. This skill supports detailed metric collection, visual report generation, and intelligent optimization recommendations, making it ideal for continuous integration, performance regression testing, and code quality assurance scenarios.
Skills for Mass-Producing Mergeable Bug-Fix PRs
OpenClaw Landable Bug Sweep is an automated, batch-oriented bug-fixing workflow designed for maintainers to generate high-quality, merge-ready (landable) bug-fix PRs from lists of issues or PRs. It employs strict candidate criteria—limiting scope to under 500 lines of code (LOC) and prohibiting new dependencies, configuration changes, or modifications to plugin SDK boundaries—alongside a systematic remediation loop and automated reviews ($autoreview). This process ensures that every generated PR is rebased onto the latest `main` branch, passes local tests and automated reviews, is successfully pushed, and clears GitHub CI checks. The workflow focuses exclusively on producing merge-ready PRs rather than generating analysis notes.
Telegram CrabBox E2E Proof Skill
The Telegram CrabBox E2E Proof Skill is a specialized skill within the OpenClaw personal AI assistant ecosystem, designed to automate end-to-end verification of CrabBox functionality through the Telegram messaging platform. Leveraging the agent capabilities of the OpenClaw framework, this skill automatically executes the complete verification flow from message reception, processing, to result feedback, ensuring the stability and correctness of CrabBox features in the Telegram environment. It is suitable for development testing, quality assurance, and automated operations, helping teams quickly identify and fix integration issues.
Release OpenClaw Plugin Testing
This is a skill for publishing and testing OpenClaw plugins, designed to help developers quickly build, publish, and validate custom plugins within the OpenClaw ecosystem. With this skill, users can automate plugin packaging, version management, release workflows, and integration testing to ensure plugins run stably across multiple platforms. Core features include: one-click plugin source packaging, automatic release note generation, smoke and regression testing, and publishing to the OpenClaw plugin marketplace. Suitable for all OpenClaw plugin developers, especially teams that need frequent iteration and release of plugins.
Channel Message Flows Skill
Channel Message Flows Skill is a core skill within the OpenClaw AI assistant ecosystem, designed to manage and process multi-channel message flows. This skill enables AI agents to seamlessly route and respond to messages across different channels (such as Slack, Discord, Telegram, etc.), supporting message filtering, priority sorting, auto-replies, and context retention. It is ideal for scenarios requiring unified message management, automated customer service, team collaboration, and intelligent notification distribution, significantly improving message processing efficiency and response speed.