stock-data-skill
OpenClaw Skill for stock data analysis
Conversational shopping list with categories, family sharing, and purchase history. Add items, check them off, organize by category — all through natural language. Use for any shopping list, grocery list, "add to list", "what do we need", or "we need to buy" requests.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install ajeenkya/shopping-list打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Manage the household shopping list. Add items with quantities, check them off,
organize by category. Data lives in skills/shopping-list/data/.
For full command reference and output formats, read skills/shopping-list/references/commands.md.
Run these checks before every shopping list operation, in order:
skills/shopping-list/data/ directory does not exist, create it.data/active.json does not exist, create it with:
{
"items": [],
"categories": ["Produce", "Dairy", "Meat", "Pantry", "Frozen", "Beverages", "Household", "Personal"],
"lastModified": "<current ISO timestamp>"
}
data/active.json exists but fails to parse as valid JSON, rename it to data/active.json.corrupt and create a fresh default file. Tell the user: "Shopping list data was corrupted. Saved backup as active.json.corrupt and started a fresh list."data/config.json does not exist, create it with: { "user": null, "snoozes": {} }
config.json has "user": null, ask the user: "What's your name? I'll use it to track who added each item." Store their answer (lowercased) in config.json before proceeding with the original command.All file paths in this document are relative to skills/shopping-list/ unless stated otherwise.
The live shopping list. Contains all items that have not yet been archived.
{
"items": [
{
"id": "F47AC10B-58CC-4372-A567-0E02B2C3D479",
"name": "Whole Milk",
"normalizedName": "whole milk",
"quantity": 2,
"unit": "gallons",
"category": "Dairy",
"checkedOff": false,
"checkedOffDate": null,
"addedBy": "aj",
"addedDate": "2026-02-24T10:00:00Z",
"notes": null
}
],
"categories": ["Produce", "Dairy", "Meat", "Pantry", "Frozen", "Beverages", "Household", "Personal"],
"lastModified":...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# Shopping List
Manage the household shopping list. Add items with quantities, check them off,
organize by category. Data lives in `skills/shopping-list/data/`.
For full command reference and output formats, read `skills/shopping-list/references/commands.md`.
## Before Every Command
Run these checks before every shopping list operation, in order:
1. If `skills/shopping-list/data/` directory does not exist, create it.
2. If `data/active.json` does not exist, create it with:
```json
{
"items": [],
"categories": ["Produce", "Dairy", "Meat", "Pantry", "Frozen", "Beverages", "Household", "Personal"],
"lastModified": "<current ISO timestamp>"
}
```
3. If `data/active.json` exists but fails to parse as valid JSON, rename it to `data/active.json.corrupt` and create a fresh default file. Tell the user: "Shopping list data was corrupted. Saved backup as active.json.corrupt and started a fresh list."
4. If `data/config.json` does not exist, create it with: `{ "user": null, "snoozes": {} }`
5. If `config.json` has `"user": null`, ask the user: "What's your name? I'll use it to track who added each item." Store their answer (lowercased) in `config.json` before proceeding with the original command.
6. Run the archive process (see Archive section below).
All file paths in this document are relative to `skills/shopping-list/` unless stated otherwise.
## Data Files
### data/active.json
The live shopping list. Contains all items that have not yet been archived.
```json
{
"items": [
{
"id": "F47AC10B-58CC-4372-A567-0E02B2C3D479",
"name": "Whole Milk",
"normalizedName": "whole milk",
"quantity": 2,
"unit": "gallons",
"category": "Dairy",
"checkedOff": false,
"checkedOffDate": null,
"addedBy": "aj",
"addedDate": "2026-02-24T10:00:00Z",
"notes": null
}
],
"categories": ["Produce", "Dairy", "Meat", "Pantry", "Frozen", "Beverages", "Household", "Personal"],
"lastModified":...OpenClaw Skill for stock data analysis
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