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Guides the GDPR Article 56 one-stop-shop mechanism for determining lead supervisory authority in cross-border processing. Covers main establishment identification and cooperation. Activate when processing across EU borders. Keywords: one-stop-shop, Article 56, lead authority, cross-border.
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Start, continue, keep, pause, copy, watch and stop authorised Anabasis v2 campaigns through `bun run runs`: launch a campaign under a name, go on with one from its log on another login or commit, keep one going across logins until it ends on its own terms, pause one at a clean point, copy a stopped one to another worktree, move one to another host, read each run's status and each login's room, reach the other hosts, and stop one and release what it held. Use when the operator asks to start, launch, resume, continue, move, keep, pause, copy or stop a campaign or a run, which logins have room, how the runs stand on any host, whether a campaign is ready for its next move, or why a move was refused. Owns the run's life on the host; run-improvement-campaign reads the table, and whole-run-investigation reads what a run did.
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Use when working with Allure Testops — allure TestOps test management and analytics platform monitoring. Covers project dashboards, launch tracking, test case management, defect clustering, environment matrix analysis, and CI/CD integration review. Use when managing test cases in Allure TestOps, reviewing launch results, analyzing flaky tests, or tracking quality trends.
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根据开发目标选择ECC命令组，说明执行顺序与停止条件，并读取当前命令文件，按用途整理清单，帮助组合多个命令；仅提供指导，不执行命令。
通过本地服务 API 管理 9Router、CLIProxyAPI 等内置服务，完成安装、启停、重启和更新，并查询状态、获取日志及配置自动启动。
通过命令行启动和停止ngrok、Cloudflare等隧道连接，查看公开网址、连接状态和日志，并测试外部能否访问。
通过命令行启动、停止和重启 OmniRoute 服务器，指定端口，配置后台运行、自动恢复和系统托盘显示，并打开管理面板。
Manage coding-agent sessions across connected machines through Herdr, tmux, and MSP. See which sessions need attention, review their output, open sessions with a brief, send instructions, answer approval dialogs, and stop or close sessions.
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Coordinate multiple local command-line agents through tmux sessions in an authorized workspace. This guide covers starting and stopping agents, assigning tasks, monitoring logs, and checking results, while requiring a separately installed and reviewed manager runtime.
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Plan an A/B test to compare product changes, with a clear hypothesis, variants, sample estimates, and tracking checks. Define success metrics and stopping rules before launch, then document results and decisions.
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Design vocational training around a real work task, from preparation and equipment checks to operation, verification, and handover. Build interactive practice with tools, ordered steps, consequences for mistakes, and checkpoints where learners decide whether to proceed, recheck, or stop.
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Add a NanoClaw status icon to the macOS menu bar. Check whether the service is running through a green or red dot, then start, stop, restart, or open its logs from the menu.
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Write and review launch prompts for agents working autonomously for hours or days. Define successful deliverables, excluded partial results, stopping rules, worker handoffs, and evidence-based review requirements so completion can be assessed against explicit criteria.
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Manage GPU compute jobs on Qizhi through a command-line tool. Find available nodes, submit distributed training runs, launch batches with different parameter combinations, and inspect, monitor, or stop jobs across workspaces.
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Monitor model training through WandB metrics to detect invalid numbers, worsening loss, and declining evaluation results. Ambiguous trends receive a Codex review, while stopped runs retain key metrics and the reason for stopping.
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Temporarily disable a community skill installed through the hub while keeping its files and configuration. It also stops included automatic hooks, records the change, and lets you restore the skill by running the same command again.
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Run long commands in the background, check their progress and output, wait for completion, or stop them. List jobs by status and inspect exit results to understand how each command finished.
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Runs repeated reviews and fixes on a Claude Code skill until no critical or major findings remain. Tracks findings across rounds, checks change boundaries, and stops for a design decision when fixes stop making progress.
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Guide role-specific work in LoopX auto-research, from defining research conditions and proposing hypotheses to experiments, evaluation, and adoption or retirement decisions. Keep evidence, failed attempts, task handoffs, and stopping conditions tied to each worker’s assigned role.
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Stop stuck Ouroboros executions or background jobs by ID, or cancel all running and paused executions in the current project. It reports whether cancellation is complete or has been requested, with guidance for checking the final status.
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Manage AI agent Workers by creating roles, selecting runtimes, starting or stopping Workers, and updating their skills. It also covers runtime migration, direct mentions between Workers, and access to the QwenPaw console.
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Build CI workflows that use mirrord to test applications against services in a real Kubernetes cluster. Configure runner access, start and stop application sessions, validate configuration files, and troubleshoot connection, permission, and logging problems.
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Evaluates Claude Code conversations at session end and extracts reusable solutions, user corrections, and project conventions. It saves useful patterns as learned skills for future sessions, with configurable detection rules and a minimum conversation length.
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Turn records from a stopped NVFLARE Auto-FL optimization campaign into a reproducible Markdown report and JSON summary. Summarize improvements, retained candidates, failed ideas, and literature outcomes, with a refreshed progress plot when plotting dependencies are available.
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