calibrate-room 精选
Run the ADR-151 per-room calibration pipeline — baseline → enroll → extract → train → a bank of small specialists (presence/posture/breathing/heartbeat/restlessness/anomaly).
安装方式
cp -r harness/ruview/.claude/skills/calibrate-room ~/.claude/skills/calibrate-room把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同,Claude Code 默认是 ~/.claude/skills/
/plugin marketplace add ruvnet/RuView⚠️ 该命令形态随客户端版本变化,仅在检测到 .claude-plugin/marketplace.json 时展示;不可用时请用「目录复制」。
https://raw.githubusercontent.com/ruvnet/RuView/a71634ae8a606bba5463489450c69e8b42de114e/harness/ruview/.claude/skills/calibrate-room/SKILL.md下载后另存为 ~/.claude/skills/calibrate-room/SKILL.md。链接锁定采集时的 commit,内容与本站展示一致。
整仓一次性获取:git clone --depth 1 https://github.com/ruvnet/RuView.git
依赖与权限
- 无需 API Key
- 无需联网
- 依赖外部命令:
nodecargo - 以上为按正文与 frontmatter 自动推断的信号,仅供参考;安装前建议先阅读原文。
SKILL.md 正文
calibrate-room
Turn a provisioned node + sensing-server into a working room model. Pure-Rust,
edge-deployable (ADR-151). Use the ruview_calibrate tool (installed
wifi-densepose binary, else cargo run -p wifi-densepose-cli).
Sequence
- baseline — capture the empty room (Welford amplitude + von Mises phase). Leave
the room empty.
ruview_calibrate {step: "baseline"}
- enroll — record the occupant(s) doing the target activities.
ruview_calibrate {step: "enroll"}
- train-room — train the bank of small specialists from baseline + enrollment.
ruview_calibrate {step: "train-room"}
- room-watch — live presence/posture/breathing from the trained room.
ruview_calibrate {step: "room-watch"} (or the room-watch skill)
Honesty
The specialists are calibrated to this room; cross-room transfer is a separate
problem (LoRA recalibration, ADR-079 P9). Report which room a number came from, and
tag presence/vitals accuracy MEASURED only with a held-out check — run
ruview_claim_check on the writeup.
质量与来源
- 所属仓库
- ruvnet/RuView
- 仓库星标
- 9.8 万
- 最近更新
- 今天
- 采集时间
- 今天
- commit
- a71634ae8a60
- 内容指纹
- sha256:4b29c7c331f47ac
- 文件路径
- harness/ruview/.claude/skills/calibrate-room/SKILL.md