Pigou Wu
IntelliTutor
AI 阅读家教项目，基于 DeepTutor 改造成面向学生的智能学习伴侣。
已经发布 / 高完成度。
no code insight
finish / 优化 intellitutor
strong signal
- GitHub / 2026-05-18 / PIGU-PPPgu/IntelliTutor
- wiki / 今天 / 1412 files
- stack / Taro / WeChat Mini Program / Tailwind CSS / Python
- task / doing / 2026-05-04 / 优化 intellitutor
- log / 2026-06-10 / 2026-06-10 Daily Cockpit
- 1稳定深度解题和知识图谱
- 2打通在线部署
- 3沉淀成可展示产品
- 01优化 intellitutor
- 02Generate LLM code insights for the most important source files.
- 03Add one approved public screenshot or product surface image.
AI progress / project progress
updates / doing / logs / open tasks
README / media / wiki / code
shipped / snapshot / media / confidence
waiting / stale / AI risks
- no code insight
- no public media
综合分 52/100，建议为 medium。这个值来自任务紧急度、近期动量、战略相关性、成熟/影响证据和停滞惩罚；它只是候选建议，只有 apply 后才会改项目 priority。
Open P0/P1 tasks and active doing items.
Recent repository pushes, project updates, and log activity.
Current lifecycle state plus Pigou OS/workflow/life-state relevance.
Progress, shipped/use signals, screenshots, and repository scale.
Paused, archived, or stale projects should cool down unless other signals are strong.
- open tasks: 1 (1 P0, 0 P1, 1 doing)
- repo files: 1412
- last push: 2026-05-18
- recent logs: 2
- launch/use signal in project text
- strategic OS/workflow signal in project text
GitHub sync processed; Pigou OS refreshed the project wiki, progress, status, and sync log signals from repository evidence.
The sync pipeline applied local repository, wiki, task, image, and log signals after refreshing GitHub data.
Project status, launch wording, and product surface signals.
Repository file count, framework, entrypoint, module, and code insight signals.
Launch/use wording, screenshots, and visible product proof.
Project notes, README summary, and wiki/code insight completeness.
Recent push, linked work items, and project log activity.
- repo files: 1412
- last push: 2026-05-18
- frameworks: Taro / WeChat Mini Program, Tailwind CSS, Python
- linked tasks: 1
- linked logs: 506
- No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.
- 优化 intellitutor
- Generate LLM code insights for the most important source files.
- Add one approved public screenshot or product surface image.
不只做问答，而是围绕学习过程组织能力。 基于 DeepTutor（HKU DSA Lab, Apache-2.0）选择性改造，面向中国 K12 场景的多学科学习工作台，并保留上游来源、署名和许可说明。
Taro / WeChat Mini Program, Tailwind CSS, Python project with 1412 indexed file(s).
miniprogram/cloud/functions/apiProxy/package.json / web/app/page.tsx / miniprogram/project.config.json
- No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.
- 优化 intellitutor
- Generate LLM code insights for the most important source files.
- Add one approved public screenshot or product surface image.
- Repository: PIGU-PPPgu/IntelliTutor
- Default branch: main
- Indexed files: 1412
- Primary language: Python
- Frameworks: Taro / WeChat Mini Program, Tailwind CSS, Python
- Last pushed: 2026-05-18
- Snapshot: 2026-06-27
- 1Generate per-file summaries for important source files.
- 2Connect modules to project goals and next actions.
- 3Detect stale README sections by comparing code signals with project description.
- 4Persist historical wiki snapshots to show architecture drift.
scripts
高置信Automation scripts: 27 file(s) under scripts/
content
高置信Local content source: 2 file(s) under content/
docs
高置信Documentation: 13 file(s) under docs/
- No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.