Discover AI Agent Skills

Wire player input in Unity 6.3 LTS with the Input System package: Input Actions, action maps, the PlayerInput component, and reading values via callbacks or polling. Use when the project has a .inputactions asset or com.unity.inputsystem, or when the user mentions the Unity Input System, InputAction, action maps, PlayerInput, control schemes, or rebinding.

Hardens code against vulnerabilities. Use when handling user input, authentication, data storage, or external integrations. Use when building any feature that accepts untrusted data, manages user sessions, or interacts with third-party services.

Terraform modules for deploying self-managed Materialize on AWS (EKS), Azure (AKS), and GCP (GKE). Covers networking, Kubernetes clusters, managed PostgreSQL, object storage, the Materialize operator, and Materialize instance configuration. Use this skill whenever the user asks about deploying self-managed Materialize with Terraform, setting up Materialize infrastructure on any cloud, configuring EKS/AKS/GKE for Materialize, troubleshooting a self-managed deployment, upgrading Materialize instances, customizing Terraform variables for Materialize, or working with the materialize-terraform-self-managed repository. Also trigger when the user mentions Karpenter node pools for Materialize, persist or metadata backend URLs, the Materialize operator Helm chart, CRD versions (v1alpha1 vs v1), rollout strategies, or NVMe swap configuration for Materialize nodes.

Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.

Compare AI agent-made UI variants locally in a real app, then keep one and clean up unused temporary code.

Analyze brownfield codebase and create initial continuity ledger

Best practices and example-driven guidance for building SwiftUI views and components, including navigation hierarchies, custom view modifiers, and responsive layouts with stacks and grids. Use when creating or refactoring SwiftUI UI, designing tab architecture with TabView, composing screens with VStack/HStack, managing @State or @Binding, building declarative iOS interfaces, or needing component-specific patterns and examples.

GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.

Automate TikTok tasks via Rube MCP (Composio): upload/publish videos, post photos, manage content, and view user profiles/stats. Always search tools first for current schemas.

PRの変更内容をトリアージし、変更カテゴリ分類・表層チェック・必要リファレンス判定を行います。結果を`.pr-triage.json`に出力し、後続のコードレビューフェーズで活用します。CI環境でのコスト最適化に使用してください。

Create professional brand videos with AI — produce brand story films, company culture videos, mission statement content, brand launch campaigns, brand awareness ads, and corporate identity videos from descriptions and brand guidelines. NemoVideo builds your brand on screen: founding story narratives, team culture showcases, value proposition visualizations, customer testimonial compilations, and brand anthem videos that communicate who you are and why you matter. Brand video creator, company video maker, brand awareness video, corporate identity video, brand storytelling, brand film maker.

Generate MANIFEST.json files for Agent Skills, providing content integrity verification, file inventory, and external reference tracking.

Systematic competitor analysis covering product teardowns, 12-dimension scoring rubric, feature comparison matrices, SWOT analysis, pricing model deconstruction, UX audits, and strategic action plans with stakeholder presentation templates.

When the user wants to create, optimize, or audit FAQ page content. Also use when the user mentions "FAQ page," "frequently asked questions," "help page," "Q&A page," "FAQ schema," "FAQ section," "common questions," "FAQ SEO," "accordion FAQ," "People Also Ask," "PAA," "People Also Search For," "PASF," or "FAQ rich results." For FAQ structured data markup, use schema-markup. For AI search visibility strategy, use generative-engine-optimization.

网页搜索与实时信息检索。需要查找最新资讯、实时数据、技术文档、热点事件，或用户说"搜一下"、"帮我查"、"查资料"、"web search"等时使用。基于小宿AI智能搜索，支持关键词搜索、时间范围过滤（一天/一周/一月/一年）、自定义结果数量、JSON 输出。

Interactive LeetCode-style teacher for technical interview preparation. Generates coding playgrounds with real product challenges, teaches patterns and techniques, supports Python/TypeScript/Kotlin/Swift, and provides progressive difficulty training for data structures and algorithms.

Use this skill when designers, e-commerce operators, advertisers, brand teams, social-commerce teams, and content creators need to create livestream backdrops, product cards, and sales overlays with Nano Banana Pro through the AI Hive OpenAPI. It handles required media uploads, live model and price lookup, task submission, progress polling, and result downloads. Useful for product photography, marketplace images, product detail pages, posters, ad creatives, social commerce, seeding content, retouching, and background replacement. Search intents include livestream commerce, live shopping image, product card, stream overlay.

Writes and revises clear, precise, accessible technical content for any medium. Use for manuals, wikis, README files, developer and user documentation, tutorials, references, specifications, RFCs, feature requests, issues, commit messages, code comments, review comments, pull request messages, release notes, runbooks, decision records, status updates, email, Slack, and other workplace or agent-facing communication.