1204 个 · 按相关度排序
Implements AI transparency requirements under EU AI Act Arts. 13-14 and GDPR Arts. 13-14. Covers user notification of AI interaction, system capability disclosure, limitation documentation, and meaningful information about automated logic. Keywords: AI transparency, EU AI Act, GDPR notification, explainability, automated decision.
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Generates Records of Processing Activities automatically from IT system inventories including Active Directory, cloud service catalogs, API gateway logs, and database schemas. Covers automated field population, data flow discovery, and system-to-RoPA mapping. Activate for automated RoPA, system inventory, data discovery, auto-population, IT-driven records.
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Implements automated data deletion workflows for GDPR Article 17 right to erasure and retention period expiry. Covers cascading deletion across dependent systems, dependency handling for referential integrity, confirmation logging, and audit trail generation. Activate for automated deletion, erasure automation, data purge, retention expiry queries.
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Guides compliance with Australia's Privacy Act 1988 including the 2024 reform amendments. Covers automated decision-making transparency, children's privacy code, individual rights expansion, enforcement strengthening, and the Australian Privacy Principles (APPs). Keywords: Australia Privacy Act, APPs, OAIC, automated decisions, children privacy code, privacy reform.
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Automated enforcement of GDPR Article 5(1)(e) storage limitation principle. Covers TTL-based deletion, retention policy engines, archival workflows, legal hold exemptions, and lifecycle automation. Includes technical implementation patterns for automated data expiry and defensible deletion across distributed systems.
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Automated API testing with Postman collections via Newman CLI. Use when user requests API testing, collection execution, automated testing, CI/CD integration, or mentions "Postman", "Newman", "API tests", "run collection", or "automated testing".
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将macOS上的OpenClaw更新至main最新版，并检查Gateway和本地应用的运行情况。还可修复自动检查失败，并执行不涉及发布的完整发布验证。
通过gh查看和创建GitHub议题与拉取请求，发表评论，检查评审和自动测试结果；调查失败日志、重新运行任务，并确认已获授权的合并状态。
配置 Git 提交前的自动处理流程，用 Prettier 格式化待提交文件，再运行现有类型检查和测试，涵盖 Husky 与 lint-staged 的安装、配置及验证。
回顾编码工作记录，检查文件查找、自动检查、指令、工具使用和信息访问等方面，找出代理工作环境的改进方案，并按重要程度排序，供下次工作参考。
Prepare web applications for production with Docker configurations, automated testing and deployment workflows, health checks, and rollback plans. Compare release strategies and review application, infrastructure, monitoring, security, and operational readiness before launch.
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为Web应用上线整理部署流程与检查项，涵盖CI/CD测试和部署自动化、Docker容器化、健康检查及回滚计划，帮助选择发布方式并检查上线准备情况。
Fix Python type checking failures found locally or in CI, the automated checks run on code changes. It identifies affected files, applies targeted fixes to type declarations and checks, then reruns validation.
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Set up automated checks and deployment workflows with GitHub Actions. Covers tests, type checks, builds, security audits, preview deployments, staged releases, and rollback plans, with guidance for diagnosing failures and reducing pipeline runtime.
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Run a project's configured build and test commands, including type checks that detect inconsistent data types. Save pass or fail results, failure details, and logs so an automated editing loop can decide whether verification is complete.
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Create and edit clips from YouTube videos through an automated workflow. Retrieve the source video, cut highlights, add captions, and export the result for tasks such as preparing individual clips or a highlight reel.
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Create project-specific rules for turning Figma designs into code. Bring design tokens, shared values such as colors and spacing, together with naming conventions and lint rules for automated checks in one reference.
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Monitor a pull request through reviews and automated checks, verify reported issues against the code, and make focused fixes. Repeat testing and review checks until actionable comments and unresolved threads are cleared and the request is ready to merge.
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Check code and agent outputs, track reliability scores, and roll back changes that fail a chosen threshold. Includes quality reports, live monitoring, and integration with automated build and deployment workflows.
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Create and improve GitHub Actions workflows for automated testing and deployment. Coordinate multiple AI agents to review pull requests, investigate failed runs, scan for security issues, and manage releases across repositories.
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Turn repeated corrections into automated safeguards, such as code checks, metadata flags, or scripts. This skill helps choose where each lesson belongs and turns recurring mistakes into concrete changes or actionable tasks.
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Create and run automated tests that score LLM answers against expected outputs or judging criteria. Monitor progress, inspect individual results, compare models on the same tests, and use score thresholds in CI, an automated checking workflow.
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Automate GitHub tasks such as creating draft pull requests and inspecting automated checks. Confirms the target repository and branch before external changes, keeps actions within authorized scope, and reports the resulting URL or identifier.
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Maintain VoiceStudio by investigating reported bugs, reviewing contributed changes, diagnosing automated check failures, and preparing requested releases. It guides focused fixes, testing, and packaging verification for the Electron app and Python backend.
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