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Found 2,778 Skills
Top-level map of the skill fleet, for "which skill does this need?" when the answer is not obvious. Invoke when a task's ownership is UNCLEAR or it spans MULTIPLE domains. It routes intent → the right router / skill / recipe and names how to invoke each. When the primary goal already names a domain, enter that domain router or member directly instead. Curates the ADOPTED surface only; the full installed roster lives in the skill manifest.
Bulk-extract many pages from one site or section. Use for "crawl", "everything under /docs", or content spanning linked pages.
Use when executing implementation plans with independent tasks in the current session or facing 3+ independent issues that can be investigated without shared state or dependencies - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
Analyze a reference design image and extract visual DNA — layout, style, color palette, texture, typography, copy tone, spacing, etc. — into a structured, reusable replication prompt that can be applied to new scenarios. Trigger when: user provides a reference image and asks to "extract style", "replicate this", "clone this design", "analyze this visual", "generate a replication prompt", "提取设计要素", "复刻这个风格", "分析这张图", "视觉克隆".
Fetch a company/product logo from public sources (Clearbit, og:image, favicon) given a brand name or URL, score candidates (wide-aspect + transparent preferred), and archive the best + runner-ups to ~/.lovstudio/logo-collection/<slug>/. Trigger when the user says "find logo", "找 logo", "抓 logo", "收集 logo", "brand asset", "需要 <brand> 的 logo", or wants logos laid out for a website/PPT/poster.
Grades a specified set of test methods individually and produces a concise table mapping each test (fully-qualified name) to a letter grade (A–F), a score band, and a one-line note — designed to be posted as a PR comment. Use when the caller wants per-test feedback on a curated list of methods (for example, the new or modified tests in a pull request), not a suite-wide audit. Polyglot: .NET, Python, TS/JS, Java, Go, Ruby, Rust, Swift, Kotlin, PowerShell, C++. Input is a list of test methods (or method bodies / file+line spans); output is a compact markdown table plus a short summary. DO NOT USE FOR: full suite audits (use test-quality-auditor agent or test-anti-patterns), writing new tests (use code-testing-generator agent or writing-mstest-tests), fixing failures, or measuring code coverage.
Grounds a coding agent's architecture decisions in real arXiv prior art before it builds something new. Reads arXiv category-wise via real HTTP fetch, spawns parallel isolated reads across the papers found, scores/clusters them, then converges on ONE recommended path with citations, a first step, and known prior-art pitfalls to avoid. Use on /neuroarxiv, before designing non-trivial architecture, algorithms, ML/systems techniques, or protocols, or when the user asks "has anyone solved this", "what's the state of the art", or "am I about to rebuild something that already exists". Skip for trivial CRUD, glue code, or closed phrasing ("just", "quick", "standard"). Full pre-flight gate is in the skill body.
CesiumJS models, glTF, and particle effects - Model, KHR_meshopt_compression, CAD glTF extensions, EdgeDisplayMode, ModelAnimation, ModelNode, ParticleSystem, emitters, GPM extensions. Use when loading compressed or CAD-style glTF/GLB models, controlling edge rendering, playing model animations, positioning particles, or working with geospatial positioning metadata.
Scrape a single known URL into clean markdown / HTML / links / structured JSON with fastCRW. Use when you already have the URL and want the page content — "scrape", "grab", "fetch", "pull", "read this page", "get the content of". Handles JavaScript-rendered SPAs automatically. Step 2 of the crw workflow ladder.
Build, debug, balance, or test combat enemy AI for playable action games. Use for aggro, target selection, navigation, spacing, attack choices, telegraphs, retreats, boss behavior, behavior-state machines, and deterministic AI regression tests.
Build truthful Vesperfall asset-library review pairs from transparent PNG references and live Three.js, FBX, or img2threejs models. Use when adding a character, enemy, prop, or equipment asset to the Vesperfall catalog; creating a card-PNG plus inspector-model treatment; exposing an isolated model or moveset route; or standardizing provenance, grounding, tests, and Codex-browser validation for game art review.
Design, implement, tune, or test Three.js action-game encounters. Use for arena layout, enemy composition, spawn pacing, objectives, boss phases, reward cadence, encounter fixtures, and difficulty validation.