Sources: extracted from two upstream archives (skill-repo, skills-main),
merged with the following policy:
- 15 broken symlinks (pointing to /Users/jameslee/.cc-switch/skills or
../../.agents/skills on a foreign machine) discarded
- 3 real name collisions with identical content (ai-pair, ifind-http-api,
zhipu-websearch) kept as one copy
- Functional overlaps deduped keeping the strongest variant:
- docx family: kept docx (official, full toolchain) + docx-cn
(GB/T 9704 Chinese official-document constants),
dropped docx_writer (no scripts, name collided with docx)
- humanizer family: kept humanizer-zh (6 zh reference docs),
dropped humanizer (en, redundant for CN workflow)
- Skills that only ran in a foreign environment removed:
ablemind-ops, app-publish, hlb-design-system, openclaw-adj-skill,
claude-driver
- alphapai excluded from this public repo because its SKILL.md hard-coded
live credentials
Result: 25 skills, 572 files, ~7.5 MB.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
52 lines
2.5 KiB
Markdown
52 lines
2.5 KiB
Markdown
---
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name: agentrs-weather
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description: >
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天气查询工具 —— 通过京东 agentrs 代理网关调用高德天气,返回城市实况(气温/天气/湿度/风力)
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或未来预报。支持直接传高德 adcode,也支持传城市名/地址自动解析 adcode。当用户问某地天气、
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气温、今天/明天下不下雨、出门带不带伞、未来几天天气这类问题时使用。
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触发词:天气、气温、下雨、温度、湿度、风力、今天天气、明天天气、未来天气、weather、带伞。
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---
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# agentrs-weather —— 高德天气(实况 / 预报)
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通过 `https://agentrs.jd.com/api/saas/proxy-k/v1/weather_inquiry` 查高德天气。
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## 鉴权与调用约定(先读)
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- 环境变量取密钥,**不硬编码**:`export JD_AGENTRS_TOKEN='你的token'`
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- **网关只认 JSON body**(query string 不生效);HTTP 恒 200,业务看 body:`1001`=未授权 / `9999 缺少必要输入参数`=参数错 / `9999 用户积分不足`=余额不足(重试常能通)。
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## 关键:入参是 adcode
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高德天气的 `city` 参数是**高德 adcode**(如北京=110100),**不是经纬度,也不是和风天气的 LocationID**。
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本 skill 的脚本内置「城市名→adcode」自动解析(借地理编码),所以两种方式都行:
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- 已知 adcode:`--city 110100`
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- 只知城市名:`--address 北京` / `--address 上海市黄浦区`(自动解析)
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| 入参 | 说明 |
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|---|---|
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| `city` | 高德 adcode(与 `address` 二选一) |
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| `address` | 城市名/地址,脚本自动解析成 adcode |
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| `extensions` | `base`=实况(默认) / `all`=预报 |
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返回 `lives[]`(实况)含 weather/temperature/humidity/winddirection/windpower/reporttime;
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`extensions=all` 时返回 `forecasts[]` 未来数日预报。
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## 用法
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```bash
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export JD_AGENTRS_TOKEN='...'
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python3 scripts/weather.py --city 110100 # 北京实况
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python3 scripts/weather.py --city 110100 --extensions all # 北京预报
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python3 scripts/weather.py --address 上海市黄浦区 # 城市名自动解析
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```
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打印规整 JSON;遇 1001/9999 在 stderr 给可读提示。
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## 直接 curl(需先有 adcode)
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```bash
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curl -s https://agentrs.jd.com/api/saas/proxy-k/v1/weather_inquiry \
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-X POST -H "Content-Type: application/json" \
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-H "Authorization: Bearer $JD_AGENTRS_TOKEN" \
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-d '{"city":"110100","extensions":"base"}'
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```
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> adcode/经纬度/POI/路径 等地图地理能力见姊妹 skill **agentrs-map**;
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> 联网搜索见 **agentrs-search**。三者共用同一个 JD_AGENTRS_TOKEN。
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