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Found 2,755 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.
Guide for selecting and executing the correct pytest suites (unit, integration, redis, R2, routing rules, magic link) with environment setup and coverage expectations.
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.
AnyCap CLI -- capability runtime for AI agents. One CLI for image generation, image read, video analysis, audio analysis, music composition, text-to-speech, web search, web crawling, file download, static site hosting, and cloud file storage. Use when the agent needs to generate images, analyze images, video, or audio, produce audio/music, search or crawl the web, download remote files, deploy static sites, or store and share files. Also use when the agent needs to authenticate with AnyCap (login, API key, credentials), or when encountering errors from AnyCap to submit feedback via 'anycap feedback'. Trigger on mentions of AnyCap, multimodal capabilities, AI-generated media, page hosting, or drive storage.
Advises on testing approach — when to unit test vs integration test, coverage goals, and test organization. Use when writing tests or planning test strategy.
Guide the design and maintenance of recordkeeping programs under SEC Rules 17a-3, 17a-4, and 204-2. Use when the user asks about document retention schedules, how long to keep trade records or customer complaints, WORM storage requirements, email or text message archiving, social media capture, BYOD compliance policies, or electronic storage audit trails. Also trigger when users mention 'we got an exam request for records', 'migrating to a new archiving vendor', 'blotter retention', 'order ticket requirements', 'off-channel communications', 'WhatsApp archiving', or ask how long specific records must be kept.
Implements file upload, file download, document analysis, and video analysis features. Access cloud drive storage via mount app. The mount app installation process involves driver installation and creating scheduled tasks/launchd. Triggers: "upload file to PDS drive", "download file from PDS drive", "PDS drive document analysis", "PDS drive video analysis", "mount PDS drive", "install mount app", "uninstall mount app", "PDS drive mount access", "stop mount app"
Apply when deciding whether and how VTEX IO apps should use Master Data v2 for custom data. Covers entity boundaries, schema lifecycle, indexing strategy, and when Master Data is the right storage mechanism versus another data approach. Use for reviews, wishlists, forms, or other custom data modeling decisions in VTEX IO apps.
Append project fragment knowledge that is "too short to warrant a separate file but needs to be known by AI every time" to fixed sections of AGENTS.md / CLAUDE.md — such as special compilation flags, services that must be started before running, path pitfalls, command aliases, and environment variable conventions. Triggers: When the user says "make a note", "add to AGENTS", "save to CLAUDE.md", "the project requires X to compile", "must do Y every time from now on", or just encountered a project-specific setting that can be explained in one sentence.
Test quality review drawing on twelve classic engineering books — with primary focus on xUnit Test Patterns, The Art of Unit Testing, How Google Tests Software, and Working Effectively with Legacy Code — that diagnoses structural problems in an existing test suite: brittleness, mock abuse, coverage illusions, slow execution, poor readability. Triggers when: user asks about test quality, shares test files for review, or expresses frustration: "tests keep breaking whenever I change anything", "our tests take forever", "I can't understand what this test is doing", "tests pass but bugs still reach production", "we have too many mocks". Do NOT trigger for: writing new tests from scratch (use the regular test-writing workflow) or testing framework/syntax questions — this skill reviews an existing suite for structural quality problems, not individual test authoring.
Builds production AI/ML systems — model training, fine-tuning, MLOps pipelines, model serving, evaluation frameworks, RAG optimization, and agent orchestration at scale. Use when the user asks to build, train, or deploy ML models, set up MLOps pipelines, optimize RAG systems, create inference endpoints, or design production AI agents.
Use when checking code for functional correctness, backwards compatibility, logic errors, security vulnerabilities, performance issues, or missing test coverage — not style.