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Use when asking how to use Axiom, what skills are available, getting started with Axiom, capturing iOS simulator console output with xclog, or symbolicating…

Use when writing ANY test, debugging flaky tests, making tests faster, or choosing Swift Testing vs XCTest. Covers unit tests, UI tests, async testing, test…

GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible…

Generate images using Google's Gemini API — hero backgrounds, OG images, placeholder photos, textures, and style-matched variants. Uses free-tier models for…

Advanced Tauri event patterns for bidirectional communication, streaming data, window-to-window messaging, and custom event handling

Provides guidance for enterprise-grade RL training using miles, a production-ready fork of slime. Use when training large MoE models with FP8/INT4, needing…

Review Next.js security audit patterns for App Router and Server Actions. Use for auditing NEXT_PUBLIC_* exposure, Server Action auth, and middleware matchers. Use proactively when reviewing Next.js apps. Examples: - user: "Scan Next.js env vars" → find leaked secrets with NEXT_PUBLIC_ prefix - user: "Audit Server Actions" → check for missing auth and input validation - user: "Review Next.js middleware" → verify matcher coverage for protected routes - user: "Check Next.js API routes" → verify auth in app/api and pages/api - user: "Secure Next.js headers" → audit next.config.js for security headers

Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use…

PGA Tour, LPGA, and DP World Tour golf data via ESPN public endpoints — tournament leaderboards, scorecards, season schedules, golfer profiles/overviews, and news. Zero config, no API keys. Use when: user asks about golf scores, tournament leaderboards, scorecards, PGA Tour schedule, golfer profiles, golfer season stats, LPGA results, or golf news. Don't use when: user asks about other sports — use football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), tennis-data (tennis), cfb-data (college football), cbb-data (college basketball), or fastf1 (F1). For betting odds use polymarket or kalshi. For news use sports-news.

Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF (RL from…

精通 Aglais XQVM，一种硬件无关的 Rust 量子虚拟机，用于面向量子退火机的 QUBO/Ising 二元优化模型。

Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting…

创建、审阅、更新和搜索 ADK 文档的指南 - 当用户询问编写、维护或审计 ADK 机器人文档时使用

阿里云 MaxCompute 项目管理技能。用于创建、查询和列出 MaxCompute 项目。触发词："maxcompute project"、"odps project"、"create maxcompute project"、"manage maxcompute project"、"list maxcompute project"。

PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text…

Generates semantic commit messages following the Conventional Commits specification with proper types, scopes, breaking changes, and footers. Use when users…

使用现代 Akka.Hosting.TestKit 模式为 Akka.NET Actor 编写单元测试和集成测试。涵盖依赖注入、TestProbe、持久化测试、集群测试、流测试以及基于 xUnit/NUnit 的测试编排。包括使用 TestKit 配置自定义 ActorSystem、通过 IServiceCollection 注入 mock 服务、利用 TestProbe 验证 Actor 交互模式、使用 EventSourcedBehavior 测试持久化 Actor、基于 MemorySnapshotStore 的快照验证、分布式数据 CRDT 测试、Streams TestKit 的 Source/Sink/Flow 断言、多节点 TestKit 的集群分片场景，以及 CI/CD 友好的并行执行配置与代码覆盖率集成。

Deep architectural audit focused on finding dead code, duplicated functionality, architectural anti-patterns, type confusion, and code smells. Use when user…

| Nuxt 4 server-side development with Nitro: API routes, server middleware, database integration, and backend patterns. Use when: creating server API routes,…

Philosophy-aware PR reviews checking alignment with amplihack principles. Use when reviewing PRs to ensure ruthless simplicity, modular design, and zero-BS implementation. Suggests simplifications, identifies over-engineering, verifies brick module structure. Posts detailed, constructive review comments with specific file:line references.