# lillyguisnet/sam3-segmentation

> Agent skill for Claude Code, Codex, Cursor and other clients: outlines, masks and counts objects in photos with Meta SAM 3 on your own NVIDIA GPU, with review, exports and a viewer.

- Magnitude: 1.6 out of 10 — Cooling
- Stars: 106 total · +0 stars measured 2026-10-28, 00:02–01:32 UTC, ≈ 6 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · License: MIT · Created: 2026-10-24 · Last push: 2026-10-24
- GitHub: https://github.com/lillyguisnet/sam3-segmentation · Page: https://gitnova.dev/en/r/lillyguisnet/sam3-segmentation

## Useful for

- Ask the agent to outline every kernel in a corn photo and export masks as PNG and COCO RLE
- Run the demo on generated shapes without a GPU to inspect formats and the viewer
- Review proposed masks via review sheets and revert incorrect decisions

## Why it’s here

- Star-counter measurements on 2026-10-28 (UTC), 00:02–01:32: 106 → 106 stars (+0). This is the change over that interval.
- Estimated end-of-day forecast: about +6 stars, using observed gains and the previous day.
- The repository is 4 days old and already has 106 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #198.
- Recent forks include notable developers: @vztu (284 followers).

## 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: 6
- Issues and pull requests: 1
- Watchers: 1
- Average over the last week: 18 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 0
- Latest release: v0.1.0 (2026-10-24)

## Stars per day, last 5 days (oldest → newest, today is partial)

2026-10-24 … 2026-10-28: 46, 6, 24, 7, 0

## Spotted in now

- Top new repositories this week: #198

## More in this category

1. **HKUDS/DeepTutor** — 8.7 · Breakout · AI agents · Python · +115 stars measured 2026-10-28, 00:01–01:26 UTC, ≈ 1,630 by evening
   A lifelong personalized AI tutor with long-term memory: builds learning paths, reads documents and books, and runs practice and assessments via a multi-agent system and RAG.
   Full card: https://gitnova.dev/en/r/HKUDS/DeepTutor.md
2. **elayadesign/ai-design-skills** — 8.0 · Breakout · AI agents · +142 stars measured 2026-10-28, 00:01–01:26 UTC, ≈ 1,352 by evening
   A collection of markdown-based design skills for AI coding tools like Claude Code, Cursor, Codex and Windsurf, covering landing page design and turning static designs into animated showcases.
   Full card: https://gitnova.dev/en/r/elayadesign/ai-design-skills.md
3. **unclebob/ub-mode** — 7.8 · Breakout · AI agents · +128 stars measured 2026-10-28, 00:02–01:26 UTC, ≈ 1,494 by evening
   An agent skill that enforces disciplined software engineering practices when writing or changing code: TDD, root-cause fixes, behavior testing, and quality gates via mutation testing. Installed as SKILL.md into the agent's skills directory.
   Full card: https://gitnova.dev/en/r/unclebob/ub-mode.md
4. **nightly-labs/openbot** — 7.7 · Breakout · AI agents · TypeScript · +67 stars measured 2026-10-28, 00:02–01:27 UTC, ≈ 808 by evening
   A local-first desktop workspace for persistent AI teammates: each agent (Codex, Claude, Grok, and others) gets its own workspace, task queues, file sharing, an embedded browser, and agent-to-agent messaging.
   Full card: https://gitnova.dev/en/r/nightly-labs/openbot.md
5. **stormydayy/halo-overlay** — 7.5 · Early signal · AI agents · Python · +1 star measured 2026-10-28, 00:02–01:27 UTC, ≈ 448 by evening
   Halo is a lightweight open-source AI overlay that listens to live conversations, sees your screen, and suggests what to say or do in the moment. It works with any OpenAI-compatible model and supports local Whisper for speech recognition.
   Full card: https://gitnova.dev/en/r/stormydayy/halo-overlay.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 2026-10-28 01:38 UTC, updated every 30 minutes.