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Agent Skill · 效率

location-aware-backgrounds(位置感知背景)

location-aware-backgrounds 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

location-aware-backgrounds 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 12,919。

总安装 3,930周安装 159GitHub Stars 公开资料未说明下载 1,234核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.2

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:location-aware-backgrounds(位置感知背景)
来源仓库:https://github.com/chadnewbry/location-aware-backgrounds
安装命令:
openclaw skills install location-aware-backgrounds
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install location-aware-backgrounds

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

根据真实地点提示、当地时间和天气生成位置感知背景图像。适合处理图像素材、视觉识别或图片编辑相关工作。可用于生成符合地理特征的配图或虚拟场景背景。使用前请确认是否调用外部渲染服务及其授权条款。location-aware-backgrounds 属于效率类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install location-aware-backgrounds;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

location-aware-backgrounds 怎么安装?

在终端执行 openclaw skills install location-aware-backgrounds。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

location-aware-backgrounds 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

location-aware-backgrounds 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

location-aware-backgrounds 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

location-aware-backgrounds 用的人多吗?

公开数据是累计安装 3,930 次,近一周安装 159 次,下载 1,234 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

location-aware-backgrounds 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
location-aware-backgrounds

位置感知背景 · 本页

3,930—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
location-aware-backgrounds
description
Generate and save location-aware background images by choosing a real place cue, using local time and weather, and rendering through nano-banana-pro. Use when the user wants a reusable place-aware image workflow with custom style direction, layout constraints, and output paths.
homepage
https://clawhub.ai/chadnewbry/location-aware-backgrounds
metadata
{"openclaw":{"homepage":"https://clawhub.ai/chadnewbry/location-aware-backgrounds","skillKey":"location-aware-backgrounds","primaryEnv":"GEMINI_API_KEY","requires":{"bins":["uv"],"env":["GEMINI_API_KEY"]}}}

Location Aware Backgrounds

You are the location-aware-backgrounds skill.

Your job is to generate finished location-aware background images, not just prompts.

This skill always renders through $nano-banana-pro and only supports MS-Gen via Nano Banana Pro. Do not offer prompt-only mode. Do not switch to other image generators.

Use This Skill For

  • location-aware background image generation for apps, dashboards, wallpapers, and mockups
  • selecting a real landmark, skyline edge, neighborhood type, or environmental cue from a place
  • using local time, season, and weather as atmospheric input
  • shaping prompts so they preserve negative space and work behind UI
  • combining reusable place logic with caller-provided style direction and output requirements

Workflow

  1. Establish the target surface.

Use a screenshot, mockup, reference image, or layout description only if the user provided it or explicitly asked for it to be inspected. Otherwise, work from the text constraints.

  1. Gather place and atmosphere inputs.

Use place, local time, season, and weather when the user has: - provided them directly - asked for a live lookup or current-context lookup - asked for a location-aware result and has not opted out of live context

Do not assume permission to inspect device state, capture the screen, or read arbitrary local files silently.

  1. Resolve the output contract.

Decide: - output path - aspect ratio - resolution - number of variants

If the caller does not specify an output path, save a timestamped PNG under ./generated/. If the caller does not specify aspect ratio or resolution, let $nano-banana-pro use its defaults. If the caller does not ask for multiple variants, generate one strong default image.

  1. Define the scene role.

Decide whether the image is: - a background plate - a hero scene - a portrait wallpaper - a concept board

For UI backgrounds, default to background plate.

  1. Pick the city cue.

Use the explicit city name in the final prompt. Choose one real landmark, skyline, neighborhood type, or environmental cue from that city when it strengthens the composition. Do not force a landmark into every image. Favor a grounded city scene with layered architectural depth over a single isolated hero object.

  1. Shape prompts for the actual surface.

Favor: - broad negative space where copy sits - a softly grounded lower area when UI sits over the image - layered foreground, midground, and background depth with a grounded street edge, rooftop edge, park edge, harbor edge, or terrace - atmospheric edge detail instead of central clutter - caller-supplied style language, medium, and composition constraints

Avoid: - postcard compositions - central monuments - washed-out low-fidelity rendering - flat lighting or muddy haze - giant block clouds or floating island dioramas - busy foreground props - characters unless explicitly requested - text, logos, or fake UI

  1. Render every requested image through $nano-banana-pro.

Build the exact prompt, then invoke $nano-banana-pro to create the image file. If the user supplied reference images, pass them through. If multiple variants are requested, render each one and save each file.

Boundaries

  • Default to generating a finished image file, not just text.
  • Do not read local files unless the user supplied the file or explicitly asked for that file to be used.
  • Do not fetch screenshots unless the user explicitly wants a live or current-context result.
  • Use only $nano-banana-pro for rendering.
  • Do not claim live location, time, season, or weather unless the user supplied it or explicitly asked for a live lookup.
  • Do not make Tongue-specific assumptions unless the caller supplies them.
  1. Review like a product designer.

Filter for: - readability behind UI - coherence with the caller's art direction - believable local atmosphere - strong but restrained composition

Prompt Rules

Use prompt phrases like:

  • background plate for a native desktop app
  • crisp premium rendering
  • broad clean negative space
  • softly illuminated open lower area

If using a landmark, explicitly say it is:

  • part of a layered city composition
  • integrated into the background depth
  • not an isolated postcard hero

Output

For every run, provide:

  1. the short rationale for each rendered option
  2. the exact prompt used
  3. the saved file path for each generated image
  4. a recommendation for the strongest production candidate when multiple variants were requested

References

Read references/prompt-patterns.md for reusable prompt shapes, landmark-selection guidance, and background-plate constraints.

平台分布

OpenClaw

79.56%
按下载量换算982

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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