ユーザーの学習意欲やスキル習得の希望を、その人に合わせたカスタマイズされた学習体験に変える機能です。 **動作の流れ：** 3つの質問（学習したいトピック、現在の知識レベル、学習方法の好み）を通じて情報を収集し、学習コンテンツのカタログを検索します。その後、ユーザーに最適な学習方法（コース、プロジェクト、動画、ロールプレイなど）を提供し、Courseraの学習パスへと導きます。 **使用場面：** ユーザーが学習したいという意思を示した時点で自動的に動作します。 **学習意欲の示し方の例：** 「教えてください」「Xを学びたい」「Xが上手くなりたい」「スキルを高めたい」「面接に向けて準備したい」「これをずっと検索しているけど理解できない」「なんとか使えるけど仕組みがわからない」「AIで対応しているけど基礎をちゃんと学びたい」「チームがXを使っていて困っている」「Xのやり方を練習したい」「大事な会話に備えたい」など **対応するトピック：** 技術分野（SQL、Python、データ分析、クラウド技術）、ビジネススキル（交渉、コミュニケーション、リーダーシップ）、資格取得対策、面接対策、業務ツール、新しいスキル習得など、幅広い分野をカバーしています。
Turns a learning intent or an intent to practice a skill into a personalized experience: asks 3 questions (topic, familiarity, modality), searches the catalog, delivers the right learning experience (course, project, video, or roleplay), then acts as a path finder connecting users to the right Coursera learning path. Trigger when a user manifests a learning intent. Some examples of users manifesting a learning intent or a skill practice intent are: "teach me", "I want to learn X", "I need to get better at X", "upskill in", "prepare for an interview", "I keep searching this but I don't get it", "I get by but don't understand it", "I use AI for this but want a real foundation", "my team uses X and I'm lost", "I need to practice how to X", "help me prepare for X conversation". Covers technical topics (SQL, Python, data, cloud), professional interpersonal skills (negotiation, communication, leadership), certification prep, interview prep, professional tools, and new skills.
learn-with-coursera turns a learning intent into a personalized Coursera experience. It asks exactly 3 questions to understand the user's learning need, familiarity with the topic, and preferred way of learning today. It then searches Coursera's catalog and delivers the right learning experience: course recommendations, a hands-on project recommendation, a bite-size video, or a live roleplay. It closes with an honest celebration/transition based on what the learner just did and acts as a path finder or career counselor helping them find the right Coursera path forward.
Trigger learn-with-coursera when a user manifests a learning intent, for example, when users say anything like:
Covers: technical topics (SQL, Python, data, cloud), professional interpersonal skills (negotiation, communication, leadership), certification prep, interview prep, learning to use professional tools, and learning new skills.
| Step | Name | What happens | Coursera tools |
|---|---|---|---|
| 01 | Diagnose | 3 questions: topic, familiarity, modality. Builds learner profile. | None — uses AskUserQuestion tool |
| 02 | Search + Deliver | Route by modality. Call the right Coursera tool. Deliver the experience. | search_courses · search_videos · search_hands_on_learning · coursera_roleplay_practice |
| 03 | Career Counselor | Helps to pull the right learning path as a step forward: from one-shot recommendations to a personalized rec + path. | get_course_materials · search_courses |
| Learner picks | Modality | Coursera tool | Output |
|---|---|---|---|
| Show me a course | course | search_courses | 1–2 course cards |
| Hands-on project | project | search_hands_on_learning | 1–2 guided projects |
| Bite-size video | video | search_videos | 1 video |
| Give me a roleplay | roleplay | coursera_roleplay_practice | Live roleplay — AskUserQuestion used to personalize scenario and roleplay partner behaviour before calling the tool |
| Tool | Used in step | Purpose |
|---|---|---|
| search_courses | Step 2 (course path), Step 3 | Surface course options; power career counselor step |
| search_videos | Step 2 (video path) | Surface one targeted video |
| search_hands_on_learning | Step 2 (project path) | Surface guided project options |
| coursera_roleplay_practice | Step 2 (roleplay path) | Deliver live roleplay experience |
| get_course_materials | Step 3 | Pull course curriculum for personalized recommendation |
Read each step file before executing that step:
DIAGNOSE.mdSEARCH-DELIVER.mdPATH-FINDER.md原文・著作権は Anthropic および各プラグイン作者に帰属します。日本語訳は Claude API による自動翻訳です。