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Found 10,841 Skills
Build integrations with the Factorial HR API using the official TypeScript (@factorialco/api-client) and Python (factorial-api-client) SDKs. Use when authenticating, calling endpoints, paginating list results, subscribing to webhooks, or typing webhook handler payloads against the Factorial API.
Decide whether to adopt an existing tool or build a capability yourself, grounded in verified research.
Design, implement, optimize, and review SIMD code in .NET. USE FOR: vectorizing scalar loops with TensorPrimitives, Vector64/128/256/512, or platform hardware intrinsics; reviewing existing SIMD code, including Vector<T>, for contract equivalence, tail handling, memory safety, portability, fallbacks, and measured performance. DO NOT USE FOR: performance work unrelated to SIMD or vectorization.
Use when auditing or adapting newly created, downloaded, forked, installed, or community Agent Skills to the user's tools, habits, directories, session history, and preferred workflows, especially when triggers feel wrong, noisy, or too generic.
Install and use crv (claude-real-video) — a tool that lets any AI agent watch videos by extracting scene-aware keyframes, deduplicating them, and transcribing audio. Use when the user shares a video URL or file and wants it analyzed, summarized, or discussed.
Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search. Optimized for AlloyDB hybrid search use cases in Google Cloud. Use when users need vector search combined with structured SQL filtering, faceted attributes, semantic reranking, in-database AI validation, or serverless hosting across transactional relational databases, analytical data warehouses, or managed database engines. DON'T use this skill for simple keyword-only search, or when a standalone non-relational vector database is required.
Claude Code (code.claude.com) の CLI 本体リファレンス。 CLAUDE.md memory, settings.json, env-vars, model config, keybindings, statusline, terminal config, cli-reference (-p / --continue / --resume), sessions, checkpointing, worktrees, remote control, channels, deep links, troubleshooting。
Generate a complete System Analysis & Design document (use cases, sequence/activity/state diagrams, class + ER model, data dictionary, architecture, screens, traceability) from one validated central model — Markdown canonical, PDF optional. Trigger on /sa-doc, "ทำเอกสาร SA", "เขียนเอกสารวิเคราะห์และออกแบบระบบ", "ทำ project report วิชา SA", "generate SA document", "system analysis document", "SA&D report", "SDD", or when the user hands over a brief/requirements/codebase and asks for a full design document. Do NOT use for a single ad-hoc diagram, for explaining a problem interactively (problem-description), or for reviewing an existing document (scrutinize).
Run a 5-dimensional quality assessment (Clarity/Conciseness/Actionability/Consistency/Minimal-slop) on any LLM prompt / document (markdown, YAML, JSON, TOML) and iteratively refine it until the target score is reached. The default target score is 90, which can be overridden using the target_score parameter (e.g., target_score=95). This is used when users want to validate and improve the quality of LLM-facing prompts, instructions, or skills.
Use for an operational review or an exact owner-authorized change in a Yandex KIT store: «Как дела в магазине?», «Что срочного?», «Подтверди заказ 123», «Поставь цену 4 990 для SKU-42» or another command with an unambiguous target, action and value. Treat short «Как дела?» as a store request only when Yandex KIT context is already established.
Optimize product visibility in Amazon search results. Analyze current search ranking factors, identify optimization gaps, and provide actionable improvements for Amazon's A9/COSMO algorithm.
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.