Discover AI Agent Skills

Refactor and review SwiftUI view files for consistent structure, dependency injection, and Observation usage. Use when asked to clean up a SwiftUI view’s layout/ordering, handle view models safely (non-optional when possible), or standardize how dependencies and @Observable state are initialized and passed.

Manage context-mode GitHub issues, PRs, releases, and marketing with parallel subagent army. Orchestrates 10-20 dynamic agents per task. Use when triaging issues, reviewing PRs, releasing versions, writing LinkedIn posts, announcing releases, fixing bugs, merging contributions, validating ENV vars, testing adapters, or syncing branches.

Decide how elaborate to build something (simple vs. robust) and return a concrete, PoC-shaped proposal at that level — not over- or under-engineered, but right-sized. Use whenever someone is building something and the investment level is unclear: "quick or proper?", "MVP vs. real product", "is this over-engineering?", "how should I approach X?", "quick script vs. robust system", "how much architecture?", "how much do I build here?". Fires even without "poc" or "right-size" — any time effort and complexity of what to build are being weighed.

Act as an assistive writing coach who guides but never writes for the user. Use when helping someone develop their own writing through questions, diagnosis, and frameworks. Critical constraint - never generate story prose, dialogue, or narrative content. Instead ask questions, identify issues, suggest approaches, and let the writer write.

OmniStudio OmniScript creation and validation with 120-point scoring. Use when building guided digital experiences, multi-step forms, or interactive processes that orchestrate Integration Procedures and Data Mappers. TRIGGER when: user creates OmniScripts, designs step flows, configures element types, or reviews existing OmniScript configurations. DO NOT TRIGGER when: building FlexCards (use omnistudio-flexcard-generate), creating Integration Procedures directly (use omnistudio-integration-procedure-generate), or analyzing dependencies (use omnistudio-dependencies-analyze).

Understand and customize the local Trellis architecture inside a user project. Use when modifying .trellis plus platform hooks, settings, agents, skills, commands, prompts, workflows, the channel runtime (trellis channel), bundled runtime agents under .trellis/agents/, selectable workflow templates, registry-backed spec refresh, cross-session memory (trellis mem) generated by trellis init, or AI-facing bundled skills (trellis-channel, trellis-session-insight, trellis-spec-bootstrap) and bundled-skill auto-dispatch flow.

Provides and generates LangChain4j tool and function calling patterns: annotates methods as tools with @Tool, configures tool executors, registers tools with AiServices, validates tool parameters, and handles tool execution errors. Use when building AI agents that call tools, define function specifications, manage tool responses, or integrate external APIs with LLM-driven applications.

Andrej Karpathy的思维框架与表达方式。基于20+篇博文、16段深度访谈、100+条X帖子的系统蒸馏， 提炼6个核心心智模型、8条决策启发式、完整的中文输出适配和经典句式速查。 用途：作为思维顾问，用Karpathy的视角分析AI技术可靠性、学习方法、行业趋势、产品设计。 当用户提到「用Karpathy的视角」「Karpathy会怎么看」「卡帕西」「karpathy模式」时使用。 也适用于：Software 2.0/3.0讨论、vibe coding话题、神经网络训练、AI炒作判断、LLM能力边界。 即使用户只是说「从工程现实主义角度」「march of nines」「构建即理解」「锯齿状智能」也可触发。 不在用户只是普通问AI相关问题时触发——只在明确想要Karpathy式思维框架时激活。

Per-controller PCIe enable / disable / lanes / link-speed for a Jetson Thor or Orin custom carrier via ODMDATA + kernel-DT overlay. Do NOT use for UPHY lane allocation or endpoint-mode bring-up.

Run loan, investment, NPV, retirement, savings, and risk calculations with schedules and charts. Use for deterministic financial modeling tasks.

Audit Maven dependencies for outdated versions, security vulnerabilities, and conflicts. Use when user says "check dependencies", "audit dependencies", "outdated deps", or before releases.

Operate the Noodle CLI — explain commands, find flags, create/edit .noodle.toml config. Also covers writing skills for Noodle: the orders pipeline, task-type schedule fields, stage composition, and the orders-next.json schema. Use when running noodle commands, editing .noodle.toml, writing or updating a skill's schedule field, authoring new task-type skills, or asking "how to run noodle", "noodle help", "configure noodle".

Write compelling grant proposals for academic research, creative projects, and nonprofit initiatives. Covers federal (NSF, NEA, NEH), foundation, and institutional grants with attention to narrative, budget justification, and review criteria. Triggers on grant writing, funding proposals, research funding, or fellowship applications.

WCAG 2.1 guidelines, screen reader compatibility, keyboard navigation, color contrast, semantic HTML, and ARIA attributes

Source-backed research orchestrator for the Fusion ecosystem. Routes to the correct research agent based on question type. Returns source-backed evidence only; will not invent Framework behavior, component APIs, skill catalog relationships, platform guidance, or backend implementation details. USE FOR: any research question needing source-backed evidence about Fusion Framework APIs, EDS components, the Fusion skill catalog, Fusion platform documentation, or backend service implementation. DO NOT USE FOR: implementing code changes, installing or editing skills, MCP setup or troubleshooting, or inventing Fusion behavior without evidence.

Update ElevenLabs agent skills from a merged weekly changelog in elevenlabs-dx, then open a pull request in elevenlabs/skills. Trigger after a changelog merges to main on elevenlabs-dx, or when asked to update skills from changelog YYYY-MM-DD.

Use when organizing functions within a Go file, formatting function signatures, designing return values, or following Printf-style naming conventions. Also use when a user is adding or refactoring any Go function, even if they don't mention function design or signature formatting. Does not cover functional options constructors (see go-functional-options).

Run your first Apify Actor and retrieve results via apify-client. Use when starting a new Apify integration, testing connectivity, or learning the Actor call/dataset retrieval pattern. Trigger with "apify hello world", "apify example", "run an apify actor", "apify quick start", "first apify scrape".