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Investigate malicious software delivered through trusted updates or dependencies. Compare suspect files with legitimate versions, examine signing anomalies and injected code, and organize evidence to assess the infection path and downstream impact.
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Examine Windows shortcut files to recover target paths, timestamps, drive identifiers, and machine details. Organize these traces into an investigation timeline covering local documents, USB devices, network shares, and suspicious startup shortcuts.
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Examine Linux authentication logs, shell history, SSH keys, scheduled tasks, and system settings to investigate a compromise. Help reconstruct activity, identify ways attackers maintain access, and document suspicious accounts, files, and configuration changes.
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Set brand styling from a website link or a plain-language description, preview it on a sample page, and save preferred delivery formats so future plugin pages and documents follow the chosen look and format.
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Switches the Kilo JetBrains plugin between a pinned released CLI and a freshly built local CLI. Includes commands to clear old build artifacts, regenerate the local executable, and verify the selected setup with Gradle.
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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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Review Agent-Native Research Artifacts, structured research packages for agents, across six dimensions of research quality. Produce a JSON report with scores, strengths, severity-ranked findings, practical improvements, and an overall acceptance or rejection recommendation.
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Extract decisions, lessons, recurring patterns, and unexpected findings from the artifacts of a completed development phase. It organizes these learnings into a LEARNINGS.md file using planning, summary, verification, acceptance testing, and state documents.
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Expert knowledge for Azure Artifacts development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing feeds, upstream sources, views, .npmrc auth, .artifactignore, or GitHub Actions package publishing, and other Azure Artifacts related development tasks. Not for Azure DevOps (use azure-devops), Azure Pipelines (use azure-pipelines), Azure Repos (use azure-repos), Azure Boards (use azure-boards).
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Use when creating elaborate, multi-component claude.ai HTML artifacts with React, Tailwind CSS, shadcn/ui, state management, routing, or complex frontend structure; not for simple single-file HTML/JSX artifacts.
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Confirms or rejects findings from review-llm-artifacts before deletes or risky refactors. Loads review-verification-protocol-style checks per finding. Use after a review run, when the user wants to reduce false positives, before fix-llm-artifacts on dead code, or when validating a full-project scan.
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Applies fixes from a prior review-llm-artifacts run, with safe/risky classification. Respects verify-llm-artifacts output when present to skip false positives.
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Regenerate and commit Class S site-served artifacts after registry changes, then sync documentation across the main repo and the adjacent wiki. Use this skill when: you've changed registry/nodes/, registry/named/, or named-skills.json and need to regenerate docs/graph/* so the live website reflects the update; CI Guard E (docs-cohesion.yml) is failing because Class S artifacts are out of date; someone says "sync the docs", "regenerate docs", "run gaia dev docs", "update the site graph", "commit the Class S artifacts", "website is stale", or "update the wiki"; or you're finishing a registry PR and need to ensure docs/graph/gaia.json, docs/graph/gaia.gexf, docs/graph/gaia.svg, and docs/graph/named/index.json are committed alongside the source change. Also covers updating README.md, docs/index.html, and mirroring changes to the adjacent wiki repo at ../gaia-wiki.
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GitHub Actions workflow patterns for React Native iOS simulator and Android emulator cloud builds with downloadable artifacts. Use when setting up CI build pipelines or downloading GitHub Actions artifacts via gh CLI and GitHub API.
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Examine Linux system artifacts including auth logs, cron jobs, shell history, and system configuration to uncover evidence of compromise or unauthorized activity.
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Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state manag
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Manage Claude Code Viewer (CCV): preview in-progress CCV changes on ccv-preview, register HTML artifacts, download files, or schedule jobs via CCV local API. Use when user asks for CCV preview, ccv-preview, browser visual QA, UI/UX validation, CCV artifacts, CCV file download, or CCV scheduler jobs. Treat preview/プレビュー as the CCV app preview service first; use artifacts only when the user explicitly asks for artifact/dashboard/report HTML. Do NOT use for generic web app previews outside CCV, production deployment, Cloudflare config, or Anthropic remote triggers.
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Examine Linux system artifacts including auth logs, cron jobs, shell history, and system configuration to uncover evidence of compromise or unauthorized activity.
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Examine Linux system artifacts including auth logs, cron jobs, shell history, and system configuration to uncover evidence of compromise or unauthorized activity.
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在浏览器中打开本地计划书或HTML文件，通过针对具体内容的批注和聊天接收批准或修改请求。保存文件后页面会更新，可在同一页面继续审阅。
为幻灯片、文档、报告和HTML落地页统一应用配色与字体。可从十种预设主题中选择，也可根据描述创建新主题，并在确认后应用。
Create HTML dashboards and reports from local data or connected services, with data that can be refreshed without redesigning the page. Record sources, timestamps, and transformations so readers can trace where displayed information came from.
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Build a staff-engineer promotion deck that connects responsibilities, evidence, work artifacts, and impact. Present the case to a manager or review committee using a white editorial HTML template with speaker notes and slide navigation.
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Create a complete first version of a requested file or other deliverable early, then refine it and check its format, required content, location, and usability before reporting the work as finished.
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