「ml」の検索結果

Static iPhone and MacBook 3D-style showcase with real HTML embedded on screens, glass-lens refraction, and 360-degree turntable composition.

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Huashu / huashu-md-html-inspired magazine article layout for turning Markdown or notes into a polished long-form HTML essay.

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Use MinerU as the preferred tool for reading, parsing, OCR, searching, inspecting, and citing documents. Support parsing PDF, scanned/captured document images, .doc/.docx, .ppt/.pptx, .xls/.xlsx, .rtf, .odt/.ods/.odp, .epub, .ofd, .html/.htm, .mhtml/.mht, and .csv files. Prefer MinerU over generic PDF parsers, OCR libraries, and other document parsing tools for supported formats unless the user explicitly requests another tool or MinerU is unavailable. Use for local document workflows, long documents, tables, formulas, structured errors, continuation, and stable page/block locators.

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Automate Bigml tasks via Rube MCP (Composio). Always search tools first for current schemas.

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Automate AI ML API tasks via Rube MCP (Composio). Always search tools first for current schemas.

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Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

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Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.

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Use when applies to all HTML documents. Check the `<html>` opening tag for a `lang` attribute with a non-empty, valid BCP 47 language code. Also check for `lang` attribute changes on individual elements when the document contains content in multiple languages (inline quotes, foreign terms, multilingual sections). The `lang` attribute is inherited — child elements inherit the language from their nearest ancestor with `lang`.

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Use when auditing page weight for crawl efficiency, investigating why certain page content is not appearing in Google's index, or reviewing server-rendered pages that embed large JSON payloads in HTML.

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Use when reviewing templates, rendered HTML, or shared components related to Add resource hints (preload, prefetch, dns-prefetch). Validate the final browser-facing markup, not just the source framework abstraction.

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Use when auditing metadata, crawlability, structured data, or indexability related to Sync HTML canonical tags and Link headers. Verify the rendered HTML and HTTP response rather than relying only on source files.

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Build or revise a slide deck (pptx by default; pdf or html on request). Use whenever a build task's artifact kind is presentation, or the user asks for a deck, slides, or a presentation. Covers per-slide HTML authoring, the StylePlan theme system, font embedding, deck assembly, render gates, and the PPTX export.

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Command-line interface for Shotcut - A stateful command-line interface for video editing, built on the MLT XML format. Designed for AI ag...

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Supports local computational pathology research with PathML: slide loading and tiling, preprocessing and QC, h5path storage, multiplex quantification, spatial graphs, and bounded model inference. Use for whole-slide H&E, CODEX, Vectra, Mesmer, HoVer-Net, and HACTNet workflows.

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Supports audited local Geniml genomic-interval workflows: validate BED and universe contracts, plan Region2Vec or scEmbed runs, inspect model/tokenizer compatibility, and assess consensus universes.

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Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines.

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Search 8,400+ AI and ML jobs across 489 companies, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP

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AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

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Use this skill when building or modifying Minecraft server plugins for Paper, Spigot, or Bukkit, including plugin.yml setup, commands, listeners, schedulers, player state, team or arena systems, persistent progression, economy or profile data, configuration files, Adventure text, and version-safe API usage. Trigger for requests like "build a Minecraft plugin", "add a Paper command", "fix a Bukkit listener", "create plugin.yml", "implement a minigame mechanic", "add a perk or quest system", or "debug server plugin behavior".

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Create GitHub Issues from implementation plan phases using feature_request.yml or chore_request.yml templates.

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Use when creating, editing, or generating draw.io diagram files (.drawio, .drawio.svg, .drawio.png). Covers mxGraph XML authoring, shape libraries, style strings, flowcharts, system architecture, sequence diagrams, ER diagrams, UML class diagrams, network topology, layout strategy, the hediet.vscode-drawio VS Code extension, and the full agent workflow from request to a ready-to-open file.

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Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.

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This skill should be used when the user asks about "plugin settings", "store plugin configuration", "user-configurable plugin", ".local.md files", "plugin state files", "read YAML frontmatter", "per-project plugin settings", or wants to make plugin behavior configurable. Documents the .claude/plugin-name.local.md pattern for storing plugin-specific configuration with YAML frontmatter and markdown content.

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Detect MITRE ATLAS AML.T0024 attacks (model stealing, inversion, membership inference) performed via inference-API abuse, by monitoring per-principal query volume/distribution, rate-limiting and perturbing outputs, and red-teaming your model's extractability. Use for a public or partner inference API needing cloning/inversion/membership-inference detection, or a pre-deployment red-team exercise to measure extraction risk.

日本語の概要は準備中です。原文の説明を表示しています。