深度清洁作战规划器

安装指南

1. ClawHub CLI 从源直接安装技能的最快方式。
   npx clawhub@latest install deep-clean-battle-planner
2. 手动安装 将技能文件夹复制到以下位置之一
   全局模式
   ~/.openclaw/skills/
   工作区
   /skills/
   优先级：工作区 > 本地 > 内置
3. 提示词安装 将此提示词复制到 OpenClaw 即可自动安装。
   请帮我使用 Clawhub 安装 deep-clean-battle-planner。如果尚未安装 Clawhub，请先安装（npm i -g clawhub）。
   更倾向于下载？
   获取包含原生技能文件的ZIP压缩包。
   下载技能 (.zip)

什么是

Deep-Clean Battle Planner 是一项离线的 Python 标准库技能，可将全屋清洁组织成可安排日程的项目。它会把房间清单和可用时间转换成有序的清洁阶段，将工作安排到实际日历时段中并预留 15% 的缓冲时间，同时指出哪些任务应延后，而不是匆忙完成。
该技能还提供逐房间分区操作指南、按表面和污垢类型提供的产品建议、清洁剂作用时间以及禁止混用警告。对于 Openclaw Skills 用户而言，它的价值在于提供一份实用计划，将自上而下的清洁、无人值守运行的电器、安全检查和定期维护整合到一个工作流程中。

应用场景

根据实际拥有的房间和可用时长，规划周末或季节性深度清洁。
安排搬出清洁、迎接客人前的整理，或病后全屋清洁。
判断特定表面和污垢适用哪种清洁剂，并查看作用时间和化学品混用警告。
需要帮助保持进度时，按照某个房间的定时、有序操作指南执行。
制定厨房、浴室、走廊及其他区域的定期维护例行安排，避免再次进行耗时的彻底大扫除。
可用时间不足时，明确延后部分工作，而不是让计划安排过载。

工作原理

列出需要清洁的房间，并如实估算可用时长。
生成有序的清洁阶段，优先处理容易扬尘和人流量大的工作，在每个房间内按照自上而下的顺序安排任务，并将地面清洁放在最后。
尽早启动机器并使用需要较长作用时间的产品，使其在进行其他任务时继续发挥作用；计划包含 15% 的时间缓冲。
将工作安排到实际日历时段，每个时段的计划工作量不超过其容量的 85%，并指出剩余待延后任务。
清洁前按表面和污垢类型查看产品指南，包括推荐的清洁剂、作用时间和禁止混用警告。
使用房间分区操作指南和计时标记完成清洁，然后按照打印出的维护周期安排保持清洁效果。

配置指南

该技能仅使用 Python 标准库，可离线运行。在技能目录中，使用 Python 3 运行规划器脚本；无需安装软件包，也无需访问网络。
python3 scripts/clean_planner.py plan --rooms kitchen,bathroom-main,livingroom --hours 4
python3 scripts/clean_planner.py schedule --blocks "Sat 3h,Sun 2h,Mon 1h" \ --rooms-list kitchen,bathroom-main,livingroom,bedroom,hallway,entry python3 scripts/clean_planner.py products --surface hardwood --soil general
python3 scripts/clean_planner.py products --surface tile-grout --soil mold
python3 scripts/clean_planner.py zone --room kitchen
使用 plan 根据单个可用时长估算安排，使用 schedule 将工作分配到命名时段，使用 products 查询针对表面和污垢类型的指南，使用 zone 获取房间操作指南。请遵循清洁剂标签和通风指引；切勿混合清洁产品。

数据架构

规划器通过命令行获取输入，并按以下实用维度组织清洁信息：
维度 示例 用途
房间 kitchen、bathroom-main、livingroom、bedroom、hallway、entry 选择清洁阶段、日程和分区操作指南
可用时间 总时长或类似 Sat 3h,Sun 2h 的命名时段 估算工作能力、应用 85% 的计划上限，并确定需要延后的工作
产品查询 表面类型，如 hardwood 或 tile-grout；污垢类型，如 general 或 mold 匹配清洁指南、作用时间和安全警告
任务计划 有序任务、预计分钟数、清洁阶段和计时标记 按顺序执行工作并跟踪进度
维护周期 按房间设定的重复间隔，例如浴室每 5 天或厨房每 7 天 在首次清洁项目完成后维持清洁效果
技能文档介绍了命令行结果，并在 references/wave-method.md 和 references/cleaning-chemistry.md 中提供参考资料。文档未指定持久化输出文件格式。

高级特性

分阶段优先级安排：
根据扬尘、人流和任务依赖关系组织工作，以减少返工。
房间内自上而下排序：
先清洁风扇和置物架，再清洁表面，最后清洁地面。
并行处理机器运行和作用时间：
尽早启动电器、浸泡工作和需要较长作用时间的产品，使其在继续处理其他任务时发挥作用。
切实可行的工作量管理：
为管理开销预留 15% 的可用时间，并明确列出必须延后的工作。
化学品与表面安全防护：
产品查询中包含禁止混用危险表，并提供注意事项，例如避免在天然石材上使用醋。
定时分区操作指南：
为每个房间提供带计时标记的有序任务。
定期维护指南：
打印各房间专属的维护周期，帮助避免反复进行深度清洁。
离线运行：
使用 Python 标准库，无需网络连接。

name: deep-clean-battle-planner description: "Use when planning a whole-house deep clean (spring cleaning, move-out, post-illness, before-guests) — turns rooms + available hours into ordered cleaning waves (dusty-first, top-down, machines working while you do), maps waves onto real weekend time blocks with a 15% buffer, matches surfaces x soils to the correct cleaner chemistry with never-mix warnings (bleach+acid, bleach+ammonia), and prints per-room zone playbooks with running time markers and upkeep recurrence cadences." version: 1.0.1
author: Denis Voronin
license: MIT
tags: [cleaning, home, housekeeping, schedule, chemistry]

Deep-Clean Battle Planner

Overview

Deep cleaning fails the same way every time: people start in the wrong room (mopping before dusting), underestimate by 2× (no dwell-time buffer), run out of energy mid-house with the worst rooms untouched, and improvise cleaner chemistry that damages surfaces (vinegar on stone) or actually harms them (bleach + acid = chlorine gas; the US poison centers log tens of thousands of cleaning-substance exposures a year).

This skill treats the deep clean as a schedulable project:

plan — rooms + hours → ordered waves. Dust-generating and high traffic zones first; top-down inside every room; machines (washer, oven cleaner) started at T-0 so they clean in parallel; 15% buffer.
schedule — waves mapped onto your real time blocks ("Sat 3h, Sun 2h") with leftovers explicitly deferred, plus the upkeep cadence table that keeps the deep clean from relapsing in 3 weeks.
products — surface × soil → the correct cleaner, dwell time, and warnings; always prints the never-mix danger table.
zone — one-room playbook: ordered tasks with running time marks.

Pure stdlib, offline.

When to Use

"This weekend I'm finally deep cleaning" — plan + schedule

Spring cleaning / seasonal reset

Move-out cleaning (deposit stakes)
Post-illness household reset, before-guests blitz
"What do I actually clean WITH?" — surface chemistry questions

Building a recurring upkeep routine from the cadence table

Don't use for: hoarding-level remediation (professional help), post-flood/post-fire restoration (insurance + remediation contractors), or commercial/janitorial contracts (different standards and products).

How It Works — Numbered Steps
Inventory the rooms and honest hours:

python3 scripts/clean_planner.py plan --rooms kitchen,bathroom-main,livingroom --hours 4

→ waves with per-task minutes; what fits is planned, what doesn't is DEFERRED (a rushed room is worse than a planned one).
Map to actual calendar blocks:

python3 scripts/clean_planner.py schedule --blocks "Sat 3h,Sun 2h,Mon 1h" \

--rooms-list kitchen,bathroom-main,livingroom,bedroom,hallway,entry

→ each block loaded to 85% capacity, leftovers named, upkeep cadence per room (kitchen 7d, bathroom 5d, hallway 30d...).
Check every unfamiliar surface before spraying:

python3 scripts/clean_planner.py products --surface hardwood --soil general
python3 scripts/clean_planner.py products --surface tile-grout --soil mold

Execute a room with the zone playbook (running time marks keep pace honest):

python3 scripts/clean_planner.py zone --room kitchen

After the deep clean, adopt the upkeep cadences — recurrence (5d bathroom, 7d kitchen) prevents the next 8-hour marathon.
Ordering Rules (why the waves sort the way they do)
Dusty work first — dust falls; cleaning under falling dust is rework. Entry and kitchen (grease+traffic soil) lead.
Top-down in-room — fans → shelves → surfaces → floors, always.
Machines at T-0 — washer, dishwasher, oven-cleaner dwell, hood filter soaking: they clean unattended while your hands do other work.
Dwell chemistry — spray the tub, let it work 10 min WHILE doing the toilet and sink; scrubbing un-dwelt cleaner is 3× the effort. 15% buffer — supplies hunt, labels, phone. A plan at 100% capacity is a plan to fail by 4 PM.

Common Pitfalls

Mixing cleaners. Bleach + vinegar/acid → chlorine gas; bleach + ammonia → chloramine; peroxide + vinegar → peracetic acid. One cleaner at a time, rinsed between. The danger table prints on every products run for a reason.
Vinegar on stone/marble/granite etches permanently — pH-neutral only on natural stone (same for hardwood finishes long-term).
Starting with floors. Floors are LAST in every room, after all dust has settled and been removed above them.
No dwell time. Degreaser needs 5-10 min, oven cleaner needs overnight, mold gel 15 min. Spray-then-immediately-scrub wastes most of the chemical's work.
Planning 100% of hours. The 85% capacity rule: 4h block = 204 planned minutes, not 240.
The relapse cycle. Deep clean once, no cadence → back to start in a month. The recurrence table (bathroom 5d, kitchen 7d, hallway 30d) is the actual product of the deep clean.
Magic eraser on glossy paint/sheen — it's micro-abrasive; test in a corner first (hallway task list warns).
Boiling-water drains or caustic + plunger sequences — drain cleaners are exothermic; follow label timing exactly, full flush between different products.

Example

Saturday-Sunday plan, 6 rooms, blocks "Sat 3h, Sun 2h, Mon 1h":

$ plan --rooms kitchen,bathroom-main,livingroom --hours 4
→ WAVE1 kitchen 90m (8 tasks) → WAVE2 bathroom 60m (7 tasks);
livingroom DEFERRED.

$ schedule --blocks "Sat 3h,Sun 2h,Mon 1h"
--rooms-list kitchen,bathroom-main,livingroom,bedroom,hallway,entry → Sat: entry+kitchen+hallway (135m of 153m usable)
Sun: bathroom+bedroom (100m of 102m usable)
Mon: catch-up block; livingroom left over → next weekend's wave 1.

$ products --surface tile-grout --soil mold
→ chlorine bleach gel, 15m dwell, ventilate, never-mix table.

Upkeep cadence printed at the bottom — bathroom every 5 days is what
keeps grout mold from ever coming back.

References

references/wave-method.md — the theory: soil types, ordering proofs, dwell chemistry, parallelizing machines, pace data behind task minutes.
references/cleaning-chemistry.md — full surface × soil matrix, pH reasoning, the danger-mix table with symptoms and first response.
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