# EricJujianZou/rederive > A skill for coding agents that helps you learn a codebase by re-deriving its design decisions yourself through Socratic questioning. The agent only asks guiding questions and never explains the answers. - Magnitude: 3.9 out of 10 — Early signal - Stars: 158 total · +36 stars measured 2026-10-24, 10:56–18:42 UTC, ≈ 46 by evening - Star trust: star growth looks organic - Category: Learning & lists · Language: Python · License: MIT · Created: 2026-10-19 · Last push: 2026-10-19 - GitHub: https://github.com/EricJujianZou/rederive · Page: https://gitnova.dev/en/r/EricJujianZou/rederive ## Useful for - Study an unfamiliar repository by answering the agent's questions about its architecture - Test your understanding of your own project by explaining its design decisions - Review the session log to see where you struggled and what you derived alone ## Why it’s here - Star-counter measurements on 2026-10-24 (UTC), 10:56–18:42: 122 → 158 stars (+36). This is the change over that interval. - Estimated end-of-day forecast: about +46 stars, using observed gains and the previous day. - The repository is 5 days old and already has 158 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #140. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 5 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 26 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 3 ## Stars per day, last 6 days (oldest → newest, today is partial) 2026-10-19 … 2026-10-24: 1, 4, 36, 18, 49, 36 ## Spotted in now - Top new repositories this week: #140 ## More in this category 1. **luongnv89/claude-howto** — 7.2 · Breakout · Learning & lists · Python · +371 stars measured 2026-10-24, 00:03–18:40 UTC, ≈ 476 by evening A visual, example-driven guide to Claude Code with copy-paste templates: from basic commands to agents, hooks, skills, and MCP servers. Provides a structured learning path from beginner to power user. Full card: https://gitnova.dev/en/r/luongnv89/claude-howto.md 2. **xiaoyang111222/cn-math-taxonomy** — 6.7 · Peaking · Learning & lists · Python · +382 stars measured 2026-10-24, 00:03–18:40 UTC, ≈ 488 by evening Knowledge graph for Chinese middle-school math (grades 7–9): 315 topic nodes with 616 prerequisite edges, mapping to the 2022 curriculum standards, plus a 1407-question diagnostic bank. An AI-generated draft not yet reviewed by teachers. Full card: https://gitnova.dev/en/r/xiaoyang111222/cn-math-taxonomy.md 3. **jbiaojerry/ebook-treasure-chest** — 5.3 · Breakout · Learning & lists · Python · +255 stars measured 2026-10-24, 11:39–18:41 UTC, ≈ 326 by evening A collection of ebook download links from Chinese reading apps (帆书, 微信读书, 京东读书, 喜马拉雅) in epub, mobi and azw3 formats, with online search by title, author and tags. Full card: https://gitnova.dev/en/r/jbiaojerry/ebook-treasure-chest.md 4. **DeanChensj/jiangshan-map** — 4.8 · Early signal · Learning & lists · JavaScript · +54 stars measured 2026-10-24, 00:03–18:41 UTC, ≈ 72 by evening An interactive historical atlas of China from 403 BCE to the present, with 18 dynasties, 164 territory snapshots, place-name genealogy, and poetry routes, designed for history and classical poetry enthusiasts. Full card: https://gitnova.dev/en/r/DeanChensj/jiangshan-map.md 5. **rohitg00/ai-engineering-from-scratch** — 4.2 · Steady · Learning & lists · Python · +390 stars measured 2026-10-24, 00:04–18:41 UTC, ≈ 489 by evening Open-source AI engineering curriculum: 523 lessons across 20 phases (~342 hours) in Python, TypeScript, Rust and Julia, where every lesson ships a reusable artifact such as a prompt, skill, agent or MCP server. Full card: https://gitnova.dev/en/r/rohitg00/ai-engineering-from-scratch.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-24 18:51 UTC, updated every 30 minutes.