Use when module planning and source coverage are done and the run needs writer-ready per-module packs.
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
Use when module planning and source coverage are done and the run needs writer-ready per-module packs.
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。
Fetch and normalize supported source-tutorial inputs into local, traceable text artifacts.
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 or validate the source manifest for the source-tutorial pipeline from user-provided URLs/files.
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。
Run a research Workflow end to end when the user requests a survey, brief, review, tutorial, or idea exploration; route an unbound goal, execute one eligible Unit at a time, and stop at checkpoints or diagnosed failures.
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。
Compile the Beamer tutorial deck and write a build report.
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 when a tutorial module plan exists and the run needs an auditable module-to-source grounding file before prose.
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 when a tutorial concept DAG exists and the run needs an ordered teaching plan with objectives and outputs.
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 when an approved tutorial spec exists and the run needs a deterministic prerequisite graph before module planning.
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 when a tutorial module plan exists but each module still needs a verifiable teaching loop.
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。
Generate a Beamer slide deck from the final tutorial and approved module structure.
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。
Generate HeyGen presenter videos via the v3 Video Agent pipeline — handles Frame Check (aspect ratio correction), prompt engineering, avatar resolution, and voice selection. Required for any HeyGen video generation. Replaces deprecated endpoints with v3. Use when: (1) generating any HeyGen video (via API or otherwise), (2) sending a personalized video message (outreach, update, announcement, pitch, knowledge), (3) creating a HeyGen presenter-led explainer, tutorial, or product demo with a human face, (4) "make a video of me saying...", "send a video to my leads", "record an update for my team", "create a video pitch", "make a loom-style message", "I want to appear in this video", "generate a HeyGen video", "make a talking head video". Accepts avatar_id from heygen-avatar for identity-first HeyGen videos, or uses a stock presenter. Returns video share URL + HeyGen session URL for iteration. Chain signal: when the user wants to create/design an avatar AND make a video in the same request, run heygen-avatar first, then return here. Conjunctions to watch: "and then", "and immediately", "first...then", "X and make a video", "design [presenter] and record" = always CHAIN. If the user provides a photo AND wants a video, route to heygen-avatar first. NOT for: avatar creation or identity setup (use heygen-avatar first), cinematic footage or b-roll without a presenter, translating videos, TTS-only, or streaming avatars.
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。
Performs deep AI-powered analysis and understanding of long-form videos (up to 3 hours, 10GB) using Volcengine LAS large language models. Video analysis, video comprehension, and video summarization — generates comprehensive video summaries, video recaps, chapter breakdowns, event timelines, key moments, and structured content indexing. Supports behavior detection, action detection, video annotation, video tagging, and video content recognition. Enables intelligent video question answering — ask questions about video content and get AI answers. Handles long meeting recordings, lecture videos, webinars, surveillance and security footage, movies, tutorials, and any long video that needs detailed understanding. Async processing with submit-poll workflow. Use this skill when the user wants to analyze or understand long videos (up to 3h/10GB) with LLM-based deep comprehension, summarize video content or generate recaps, extract chapters/key moments/timelines from videos, do video Q&A (ask questions about video content), detect actions/behaviors in videos, review meeting recordings/lectures/webinars, or get structured video descriptions.
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。
Conduct comprehensive deep research on any topic using Dify-powered workflow - searches documentation, academic papers, tutorials, APIs, best practices, and returns structured analysis with insights.
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Claude AI cookbooks - code examples, tutorials, and best practices for using Claude API. Use when learning Claude API integration, building Claude-powered applications, or exploring Claude capabilities.
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Generate online course and coaching program promotional video prompts for Seedance 2.0 on Higgsfield. Use for course trailers, coaching ads, educational content promos, masterclass teasers, webinar promotions, or any educational product video. Triggers on course, coaching, masterclass, webinar, tutorial, education, teaching, training, class, program, academy.
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スクリーンショットからGemini Vision APIで操作チュートリアルを自動生成する。 「操作マニュアルを作って」「スクショから手順書を生成」「使い方ガイドを作成」等で発動。
Automates desktop GUI workflows via computer use API with screenshot capture. Use when scripting GUI interactions or recording browser sessions for tutorials.
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Writes and restructures technical documentation - READMEs, tutorials, how-to guides, user guides, architecture docs, onboarding guides, runbooks and SOPs, troubleshooting guides, release notes, and knowledge base articles - grounded in the actual code or product, with commands and examples verified where possible. Use when the user asks to document a project, feature, system, or process, write or fix a README, explain a codebase to new developers, turn notes into a guide, or make existing docs clearer. For endpoint-by-endpoint API reference or OpenAPI specs, use api-documentation-writer; for CLAUDE.md or AGENTS.md files, use claude-md-writer.
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。
FAQ identification from support tickets, step-by-step tutorial creation, screenshot/video script guidance, search optimization, and self-service deflection tracking.
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 the DataSciencePython tutorial/example collection through modern self-contained helpers for Python data-science resources, statsmodels logistic regression, scikit-learn Kaggle-style tabular classifiers, and Twitter JSONL extraction.
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。
Narrative-driven animation skill for explanatory content and visual storytelling. **Triggers when:** - User wants to explain a concept or process - Request involves step-by-step demonstrations - Content is educational or tutorial-like - User mentions "explain", "show how", "demonstrate", "walk through" **Capabilities:** - Breaking concepts into digestible visual steps - Progressive revelation of information - Highlighting cause-and-effect relationships - Building intuition through visual metaphors
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。
Plan, produce, or diagnose evidence-backed product demo videos and screen-recorded promotional walkthroughs. Use when the user asks to make a product demo, launch video, feature showcase, app walkthrough, demo reel, or polished recording; wants every important capability shown without a slow feature tour; asks to remove dead time or fix narration-to-action pacing; or needs a repeatable script, capture plan, and verified final media. Do not use for fictional commercials with no real product proof, general-purpose video editing, or documentation-only tutorials that do not need a promotional narrative.
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。
Write engaging video scripts for YouTube, TikTok, and other platforms. Creates complete scripts with hooks, main content, and CTAs. Supports various formats including tutorials, vlogs, reviews, explainers, and storytelling. Use when creating video scripts, writing YouTube content, or planning video structure.
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。
Extract clean article content from URLs (blog posts, articles, tutorials) and save as readable text. Use when user wants to download, extract, or save an article/blog post from a URL without ads, navigation, or clutter.
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。