「ai-assisted」の検索結果

Expert interior designer with deep knowledge of space planning, color theory (Munsell, NCS), lighting design (IES standards), furniture proportions, and AI-assisted visualization. Use for room layout optimization, lighting calculations, color palette selection for interiors, furniture placement, style consultation. Activate on "interior design", "room layout", "lighting design", "furniture placement", "space planning", "Munsell color". NOT for exterior/landscape design, architectural structure, web/UI design (use web-design-expert), brand color theory (use color-theory-palette-harmony-expert), or building codes/permits.

日本語の概要は準備中です。原文の説明を表示しています。

Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).

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Use when male Chinese web novel writing or 男频小说写作 needs contemporary Chinese 热梗, 网络流行语, 轻笑话, 网络热门事件模板, 网络热门人物口头禅, 知名人物事件的安全化改写或模仿, 弹幕, 评论区, 角色对白, 短视频文案, Fanqie male-rank market radar, or work-study notes on writing style, characters, background, outline, and themes for AI-assisted fiction writing.

日本語の概要は準備中です。原文の説明を表示しています。

Use when female Chinese web novel writing or 女频小说写作 needs Fanqie female-rank market radar, 言情, 古言, 现言, 快穿, 团宠, 权谋, 情绪流, 女性向人设, 人物关系, 评论区, 短视频文案, or platform voice references for AI-assisted fiction writing.

日本語の概要は準備中です。原文の説明を表示しています。

[Code Quality] Use when you need an AI-assisted Dev BA PIC review of PBI drafts.

日本語の概要は準備中です。原文の説明を表示しています。

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.

日本語の概要は準備中です。原文の説明を表示しています。

Bootstrap a new or existing project with a small, file-based documentation system so Claude Code keeps context, lessons, and decisions across session restarts instead of starting cold every time. Sets up a handful of markdown files under .claude/ (standing rules, a free-form note to your next session, a phased roadmap, a prioritized backlog, and searchable history/changelog archives) sized and split so the files read every session stay small while the archives grow without ever costing context. Use this whenever someone is starting a new project and asks how to structure it for long-running AI-assisted work, wants Claude to "remember" things between sessions without relying on chat history, asks for a CLAUDE.md + backlog + changelog setup, mentions "session continuity", "persistent context", "project memory system", or is retrofitting an existing codebase that has no such system yet. Also use to explain or extend an already-bootstrapped bottle system (add a rule, start the archival script, add a new backlog section).

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Generate a runnable exploit-validation command (Nuclei template, Metasploit module hint, AI-assisted Python script, or curl-based PoC) against a user-specified authorised target. Use when validating that a fix actually closed the vulnerability path, confirming a patch deployed correctly, or producing a copy-pasteable test command for QA. The skill never executes — the user runs.

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Points to the standalone module law-checker ("Legal Department"): source-grounded AI first-look legal assessments for German law with a statute registry and a statute-embodiment agent. Use this skill when a situation, contract, official notice, or legal question under German law should be checked with exact citations (article/section, paragraph, sentence) -- with a clear boundary: AI-assisted first orientation, not a substitute for a lawyer.

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Define product photography standards for e-commerce — shot types, composition, lighting, consistency rules, AI-assisted generation, and platform-specific variants. Covers the full product imagery pipeline from concept to published asset. Use when you need to plan product photoshoots, create photography briefs, set image standards for an e-commerce catalog, generate AI product lifestyle shots, or ensure visual consistency across hundreds of products.

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Produces complete brand identity systems — logos (AI-generated via Gemini), color palettes, typography, imagery guidelines, and WordPress-based brand asset libraries. Use when the task asks for "brand kit", "logo design", "brand guidelines", "brand identity", "visual identity", "brand colors", or "brand assets". Covers AI-assisted logo generation, asset sizing, brand archetypes, and WordPress brand page structure.

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Use when working with Coderabbit — codeRabbit AI code review management including automated review comments, auto-suggestions, review customization, and learning from feedback. Use when configuring CodeRabbit for AI-assisted code review, custom review rules, and automated suggestion workflows.

日本語の概要は準備中です。原文の説明を表示しています。

Use when working with Codeium — codeium (Windsurf) AI coding assistant management and analytics. Covers team seat management, usage tracking, language analytics, editor adoption metrics, security policy configuration, and enterprise deployment review. Use when managing Codeium/Windsurf licenses, reviewing team adoption, or analyzing AI-assisted coding productivity.

日本語の概要は準備中です。原文の説明を表示しています。

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.

日本語の概要は準備中です。原文の説明を表示しています。

Improve the clarity and voice of AI-assisted academic writing (papers, theses, rebuttals) and

日本語の概要は準備中です。原文の説明を表示しています。

Expert Antigravity Code (Gemini IDE, développement agentic, IA-assisté, workflows)

日本語の概要は準備中です。原文の説明を表示しています。

[Extended thinking: This workflow implements a sophisticated debugging and resolution pipeline that leverages AI-assisted debugging tools and observability platforms to systematically diagnose and res

日本語の概要は準備中です。原文の説明を表示しています。

Estimate AI-assisted and hybrid human+agent development work with research-backed PERT statistics and calibration feedback loops

日本語の概要は準備中です。原文の説明を表示しています。

Design AI-assisted content creation workflows. TRIGGERS - Use when user needs help with ai-content-workflow related tasks.

日本語の概要は準備中です。原文の説明を表示しています。

Checks whether AI-assisted work defines review criteria, accessible context, explicit review loop, human judgment boundary, and feedback capture before delegating to an agent.

日本語の概要は準備中です。原文の説明を表示しています。

Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).

日本語の概要は準備中です。原文の説明を表示しています。

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

日本語の概要は準備中です。原文の説明を表示しています。

AI-assisted label triage for NVIDIA/NemoClaw issues and PRs. Reads triage-instructions.md at runtime for consistent label guidance. Supports single-item mode (give it a number) and batch mode (fetches up to 50 unlabeled open items). On approval, applies labels and an optional triage comment via gh CLI, then logs the session to the daily-rhythm activity folder. Trigger keywords - triage, label issues, suggest labels, batch triage, triage issue, triage PR, label this, what labels.

日本語の概要は準備中です。原文の説明を表示しています。

AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.

日本語の概要は準備中です。原文の説明を表示しています。