A prompt-only tracking skill designed to organize dry-cleaning pickup schedules, garment counts, ticket references, and household reminder templates.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dry-clean-pickup-schedule
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install dry-clean-pickup-schedule using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Dry-Clean Pickup Schedule Keeper is a non-executable, prompt-only assistant engineered to streamline household errand management. It eliminates the chaos of misplaced claim tickets and forgotten pickup windows by generating structured order snapshots, neutral garment summaries, and quick-reference bag tags. This tool ensures that users always know exactly what items were dropped off, when they are ready for collection, and what secondary materials—such as reusable garment bags or wire hangers for recycling—need to be brought along.
Operating purely within an informational boundary, this skill maintains focus on scheduling and organization. It acts as a lightweight administrative companion, ensuring smooth household coordination and hand-offs between family members without handling transactional information, payments, account management, or service disputes.
Because this is a prompt-only configuration operating within Openclaw Skills, it requires no binary installation, background daemons, or technical dependencies.
To initialize the workflow, load the system prompt into your favorite LLM interface or AI agent runtime:
# Example of referencing the skill in your local workspace environment
openclaw running --skill=dry-clean-pickup-schedule
Provide the agent with basic details regarding your dropped-off clothing items to instantly extract the structured schedule page.
The output returns a unified single-page schedule mapped cleanly across several operational blocks. Data fields generated include:
| Section | Content Fields | Purpose |
|---|---|---|
| Order Snapshot | Cleaner, Drop-off/Pickup Dates, Ticket Reference, Total Count | Basic operational metadata |
| Garment Tracker | Item Category, Item Count, Color/Identifier, Handling Notes | Complete visual inventory control |
| Reminder Plan | Day-Before Text, Day-Of Text, Location Notes | Household notifications and positioning |
| Bag Tag Template | Cleaner, Pickup Date, Key Reference Numbers, Item Summary | Physical label printing reference |
| Confirm With Cleaner | Unknown Fields, Functional Impact, Verification Status | Risk mitigation for uncertain details |
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