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Operate Chrome from Qwen Code to navigate pages, click controls, fill forms, and capture screenshots. It can work with existing tabs or new ones, using page structure and visual controls to carry out browser tasks.
中文简介正在准备中。当前显示英语简介。
Create and run tests for interactive command-line tools and terminal interfaces using @microsoft/tui-test. Simulate keyboard input, check visible text, and compare screen snapshots in a separate terminal environment for each test.
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Checks published OpenWork desktop downloads for mac-arm64, verifying developer signatures, Apple notarization, and update metadata. It checks versions, download references, and file hashes, then records evidence to support a release rollout decision.
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Analyze saved NemoClaw CI timings to rank consistently slow command-line tests and compare base-image publication with reuse. Read-only analyzers report execution times, runner queues, and sample coverage as bounded JSON output.
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Classify a failed NemoClaw GitHub Actions job using logs with sensitive information hidden and output size limited. Optionally inspect saved artifacts to identify failure patterns and gather evidence for further investigation.
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Prepare files for printing on Bambu Lab printers by opening sliced files in Bambu Connect or unsliced models in Bambu Studio. The user selects the printer, checks the setup, and starts printing in the app.
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Prepare screenpipe component releases by updating versions and dependency lock files, running required build checks, and triggering GitHub Actions. Verify build results and release artifacts, then hand public app publication over to a person.
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Operate Screenpipe from the terminal to set up continuous recording, check capture health, and search local history. Manage Pipes, scheduled AI automations, and configure and test connections to external services.
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Verify Kortix changes with focused tests and real inputs and outputs. This skill guides test placement, API and CLI workflows, browser checks, database verification, and reporting of results, including skipped cases.
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Use cmux on macOS to organize visible teams of AI agents, send prompts, inspect terminal output, and monitor completion. Set up role-based teams or have several agents investigate the same problem; live operation remains unproven in the supplied material.
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Install LifeOS into an existing AI agent environment, then use a guided interview to capture current circumstances and goals for the Pulse dashboard. The skill also handles installation checks, updates, and removal.
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Inspect and control the connected local computer through A0 CLI or a Launcher host gateway. The skill guides screenshots, native app input, window targeting, and checking results, with background actions where the connected system supports them.
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Run untrusted or AI-generated code in temporary microVMs, small virtual machines isolated from the host. Execute a snippet in one call, manage multi-step sessions, and read or edit files inside the sandbox.
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Set up and manage a local Kubernetes development environment for OpenShell using k3d, Skaffold, and Helm. Build and deploy changes, inspect traces, configure optional authentication components, and test behavior across multiple gateway replicas.
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Diagnose Superset connection, host, terminal, authentication, and update problems using status checks and logs. Get a matching fix, approve changes before they run, and verify whether the original problem is resolved.
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Start a CARLA simulator server from a downloaded release, packaged build, or source checkout. It selects the launch mode, supports headless or windowed operation, checks client connectivity, and guides clean shutdown.
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Import a custom pedestrian into CARLA on UE 5.8, connect it to the shared animation skeleton, and verify that it moves. Export an existing walker as an FBX starting point or investigate a walker that stands still.
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Start, inspect, and stop a CARLA UE 5.8 server. Choose an editor-based server, packaged build, or full editor; configure headless operation and ports; and enable native ROS 2 integration when the build supports it.
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Guides custom map imports into CARLA on UE 5.8, from FBX geometry and OpenDRIVE road data to packaging or temporary road generation. Helps choose a supported route and verify map files and loading.
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Import FBX 3D models into CARLA on UE 5.8 and register them as props that can be placed in a simulation. Check measured dimensions, adjust scale, verify placement on a running server, and undo imports when needed.
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Package a CARLA server built with UE 5.8 for distribution, choosing which maps to include. Inspect the resulting files for mismatched containers, missing road data, and exposure settings that can cause runtime failures.
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Prepare and launch Autoware with CARLA on UE 5.8 through its native ROS 2 interface. Check communication topics and sensors, generate required maps, and configure either the classical stack or camera-only VAD model.
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Check which CARLA features are missing on UE 5.5 compared with UE 5.8. Read source markers to identify the checkout, review unsupported workflows, and see which UE 5.8 procedures also apply.
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Downloads CARLA release packages, nightly builds, source code, or Docker images, then reports their locations and environment variables for follow-up setup. Supports extra maps and resumable downloads, helping prepare the files needed for subsequent installation or building.
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