Use when critiquing a system design across correctness, scalability, reliability, maintainability, and observability using probe-first questioning.
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 capturing or restoring a learner's persistent profile to personalize teaching across sessions.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Maintain a structured learner profile across sessions so agents start at the right depth, avoid re-teaching covered material, and prioritize known weak areas.
weak-area-tracker. Profile drives find-your-level for returning learners with uncertain level.learner_profile:
level: beginner | intermediate | advanced
stated_goal: "<goal>"
learning_style: code-first | concept-first | mixed
weak_areas: [{topic, type, last_seen, correction_attempted}]
covered_topics: [{topic, confidence: low|medium|high, last_confirmed}]
active_checkpoint: "<last concept/milestone in progress>"
session_count: N
last_session: "<ISO date>"
find-your-level.Session start: restored profile summary + confirmation prompt. Session end: concepts covered with outcomes, new/resolved weak areas, and handoff note (resume point + priorities + skip list). Format naturally.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when critiquing a system design across correctness, scalability, reliability, maintainability, and observability using probe-first questioning.
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 guiding a learner through real project implementation while preserving their ownership and teaching through the build process.
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 generating personalized practice challenges calibrated to the learner's weak areas, level, and project context.
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 verifying whether the learner truly understands a concept through reasoning and application, not recall trivia.
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 coaching hypothesis-driven debugging that requires the learner to gather evidence and reason about root causes before applying fixes.
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 learner has surface understanding and needs to explore mechanism, tradeoffs, edge cases, and production implications at depth.
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。