# Yuan1z0825/nature-skills > A collection of reusable SKILL.md skills for AI agents that help researchers: reading and translating papers, academic polishing, generating figures, and preparing Nature-style presentations. - Magnitude: 2.6 out of 10 — Steady - Stars: 52,031 total · +1 star measured 2026-11-03, 17:11–18:53 UTC, ≈ 8 by evening - Star trust: star growth looks organic - Category: Science & research · Language: Python · License: Apache-2.0 · Created: 2026-04-24 · Last push: 2026-11-02 - GitHub: https://github.com/Yuan1z0825/nature-skills · Page: https://gitnova.dev/en/r/Yuan1z0825/nature-skills ## Useful for - Turn a paper PDF into a bilingual Markdown reader with figure links - Polish a paper paragraph into Nature-style academic English - Generate a draft scientific figure or schematic from methods and results ## Why it’s here - Star-counter measurements on 2026-11-03 (UTC), 17:11–18:53: 52030 → 52031 stars (+1). This is the change over that interval. - Estimated end-of-day forecast: about +8 stars, using observed gains and the previous day. - Interest is fading: the two-day pace is 50% of the previous week and a half. - GitHub Trending Python today: #17, +167 stars. - About 14 forks a day — people are taking the code. ## Star trust Star growth looks organic. - Hardly anyone watches for updates: 61 watchers for 52,031 stars. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 2,712 - Issues and pull requests: 282 - Watchers: 61 - Average over the last week: 132 per day - Usual pace: 214 per day - Stars in the last hour (measured): 1 ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-10-05 … 2026-11-03: 166, 166, 237, 267, 268, 206, 288, 320, 317, 246, 238, 219, 171, 222, 289, 287, 249, 213, 143, 149, 165, 218, 209, 203, 170, 124, 94, 161, 167, 1 ## Spotted in now - GitHub Trending Python today: #17, +167 stars ## More in this category 1. **RikiyaT/lm_understand-logs** — 7.3 · Early signal · Science & research · Python · +477 stars measured 2026-11-03, 00:31–18:47 UTC, ≈ 592 by evening Complete logs of every experiment from the blog post 'LLMs can understand and write neural network weights', including prompts, model replies, sandboxed code runs, evaluations and the networks read or written. Full card: https://gitnova.dev/en/r/RikiyaT/lm_understand-logs.md 2. **kornia/kornia** — 6.4 · Breakout · Science & research · Python · +179 stars measured 2026-11-03, 00:31–18:48 UTC, ≈ 229 by evening Kornia is a differentiable computer vision and geometry library built on PyTorch: over 1,200 GPU-accelerated operators for image processing, feature detection/matching, minimal solvers and camera models, all keeping gradients. It is aimed… Full card: https://gitnova.dev/en/r/kornia/kornia.md 3. **LiamDroog/mctl** — 2.9 · Early signal · Science & research · Rust · +1 star measured 2026-11-03, 10:39–18:52 UTC, ≈ 2 by evening A Rust spacecraft tracker with a retro flight-control-room interface: live orbits, passes, telemetry and schedules for ISS, Dragon, Hubble, JWST and others, with CRT themes and a Raspberry Pi mode. Full card: https://gitnova.dev/en/r/LiamDroog/mctl.md 4. **openai/math** — 2.4 · Cooling · Science & research · Lean · +30 stars measured 2026-11-03, 00:34–18:54 UTC, ≈ 37 by evening A collection of mathematical manuscripts and Lean formalizations produced by an internal OpenAI model while solving open research problems. Intended for mathematicians and researchers studying the results and verifying proofs. Full card: https://gitnova.dev/en/r/openai/math.md 5. **CuboiLeo/SuperMimic-Reproduced** — 2.0 · Steady · Science & research · Python · +17 stars measured 2026-11-03, 00:38–18:57 UTC, ≈ 21 by evening From-scratch reproduction of the SuperMimic paper (arXiv:2610.28480): a differentiable world model plus short-horizon BPTT actor-critic for Unitree G1 whole-body motion tracking, built on mjlab/MuJoCo Warp, with data pipeline, training,… Full card: https://gitnova.dev/en/r/CuboiLeo/SuperMimic-Reproduced.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 2026-11-03 19:06 UTC, updated every 30 minutes.