Peter Zhou Overview

Overview

Use this subskill when the user asks for progress, mastery, weak points, or what to practice next.

Core contract:

• Compute reports on demand from canonical JSON stores with scripts/knowledge_overview.py overview.
• For Agent-chat status, progress, general Peter Zhou startup, or “what next” requests, run scripts/chat_dashboard.py --data-dir <dir> --top-n 3 --json. Send its markdown field directly, preserving emoji, action numbering, and links to existing local assets. Retain actions for routing: execute each structured execution contract and use its natural-language prompt only as fallback.
• When the Dashboard offers ⏱ 今日 10 分钟复习, route it to the resumable agent_chat_review workflow rather than generating a paper.
• The dashboard discovers deep KnowledgeModule courseware from validated runtime metadata. It must ignore unvalidated metadata, missing HTML, and references that resolve outside data/; do not add these modules to the lightweight knowledge-pages/index.json.
• Check scripts/learning_profile.py show --data-dir <dir> --json when the user asks for personalized priorities or study advice. If the profile is missing, overview can still run, but personalized recommendations should ask the first-use interview first.
• Count only is_wrong=true records for final wrong-question statistics.
• Derive mastery from correction counters; do not maintain aggregate tables.
• Sort weak tags by unmastered count, then low tag mastery, then total wrong count.