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Found 2,503 Skills
A comprehensive tool for searching, analyzing, and extracting Bilibili video content. This skill must be triggered whenever users mention Bilibili, provide Bilibili links (bilibili.com, b23.tv), request to search for specific videos, extract video metadata (title, uploader, view count, description), obtain video subtitles, or retrieve comments/barrage for analysis and summarization. It supports handling 412 risk control prompts and Cookie injection.
Coaches end-to-end ML system design interviews covering inference pipelines, recommendation systems, RAG, feature stores, and monitoring. Use for L6+ design rounds, ML architecture whiteboarding, system design practice, serving tradeoff analysis. Activate on "ML system design", "ML interview", "recommendation system design", "RAG architecture", "feature store design", "model serving". NOT for coding interviews, behavioral questions, ML theory quizzes, or paper implementations.
Write a test strategy covering what to test, coverage targets, and testing pyramid distribution. Use when user says "test plan", "testing strategy", "what should I test", "test coverage", "how to test this", or needs to plan testing for a feature or project before writing tests.
Generic test writing discipline: test quality, real assertions, anti-patterns, and rationalization resistance. Use when writing tests, adding test coverage, or fixing failing tests for any language or framework. Complements language-specific skills.
Skyline 滚动控制 API 技能。涵盖 ScrollViewContext（程序化下拉刷新、下拉二级、滚动定位）、DraggableSheetContext（半屏面板程序化滚动）、worklet.scrollViewContext（UI 线程直接控制滚动）。适用于程序化触发刷新/二级、控制 DraggableSheet 位置、在 worklet 中操作滚动。触发关键词：ScrollViewContext、DraggableSheetContext、scrollTo、triggerRefresh、triggerTwoLevel、下拉刷新API、下拉二级API、滚动API、worklet scrollViewContext。
Validate skill files for structural compliance and behavioral correctness. Three modes: static (linter), spec (behavioral), audit (coverage report).
Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework popularized by xAI's open-sourced For You algorithm. Use this skill whenever the user is building any system that picks "the top K items for a (user, context)" — social feeds, content CMSs, RAG rerankers, task prioritizers, notification triage, search reranking, ad ranking.
Redis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search/set via the SDK or REST API, tuning the similarity threshold, separating caches per task type, and filtering with custom attributes. Use when caching LLM completions or RAG answers to cut API cost and latency, building a cache-aside layer in front of OpenAI / Anthropic / etc., tuning hit rate vs precision, or splitting one app's LLM workloads into multiple LangCache caches.
Redis vector search guidance covering HNSW vs FLAT algorithm choice, vector index configuration (dims, distance metric, datatype), filtered hybrid search combining vector similarity with TAG or NUMERIC filters, and the RAG retrieval pattern with RedisVL. Use when defining a VECTOR field in FT.CREATE, integrating embeddings (OpenAI, Cohere, sentence-transformers), tuning HNSW parameters (M, EF_CONSTRUCTION, EF_RUNTIME), building a retrieval-augmented generation pipeline, or filtering vector results by attribute.
Query papers using RAG (PaperQA2 or LEANN). Use when user needs synthesized answers from papers, asks "what does paper X say about Y", or needs cited responses.
Baidu Netdisk (Baidu Cloud) file management skill. Upload, download, transfer, share, and list files. Use when user wants to manage files on Baidu Netdisk cloud storage.
Comprehensive testing guide for Cloudflare Workers using Vitest and @cloudflare/vitest-pool-workers. Use for test setup, binding mocks (D1/KV/R2/DO), integration tests, or encountering test failures, mock errors, coverage issues.