Identify section boundaries and content sequences within a scraped webpage for AEM Edge Delivery Services import. Performs two-level analysis (sections, then sequences per section) and surveys available blocks.
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。
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概要と使いどころ
Identify section boundaries and content sequences within a scraped webpage for AEM Edge Delivery Services import. Performs two-level analysis (sections, then sequences per section) and surveys available blocks.
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。
Bootstrap full agent infrastructure for an existing, already-coded project without modifying a single line of source code. Surveys the repo, infers conventions from manifests, README, git history, and source samples, then generates the missing AGENTS.md, docs/architecture.md, docs/product-soul.md, ADR backfill, and seeded docs/memory/ files. Asks the user only about gaps the repo cannot reveal. Load when the user asks to "retroactive project setup", "backfill agent infrastructure", "bootstrap agents for this existing repo", "onboard agents to a legacy codebase", "set up agents without touching code", or "fill in missing agent context for this project".
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。
Use this skill when the user asks about the financial differences between being an owner-operator vs company driver — gross pay, expenses, net pay, capital requirements, risk tolerance, lifestyle, and how to evaluate the path. Reference industry pay surveys.
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。
Use this skill when the user asks about oversize / overweight load permits — state-by-state permitting process, escort vehicle (pilot car) requirements, route surveys, federal axle weight limits (Federal Bridge Formula), holiday restrictions, multi-state permits, and how to determine if a load needs a permit. Reference state DOT permitting offices.
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。
Identify section boundaries and content sequences within a scraped webpage for AEM Edge Delivery Services import. Performs two-level analysis (sections, then sequences per section) and surveys available blocks.
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。
Review a single academic paper, preprint, DOI, arXiv link, or user-provided PDF/text with source-grounded critique. Use for paper summaries, methodology review, novelty checks, reproducibility concerns, or "review this paper" requests; do not use for multi-paper surveys, systematic literature reviews, citation management, or implementation from a paper.
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。
Build production computer vision pipelines for object detection, tracking, and video analysis. Handles drone footage, wildlife monitoring, and real-time detection. Supports YOLO, Detectron2, TensorFlow, PyTorch. Use for archaeological surveys, conservation, security. Activate on "object detection", "video analysis", "YOLO", "tracking", "drone footage". NOT for simple image filters, photo editing, or face recognition APIs.
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。