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Agent Skill · 待分类

market-weather(市场天气)

market-weather 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

market-weather 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描有提醒项,按安装量在待分类类的 11,209 个 Skill 里排第 5,030。

总安装 630周安装 26GitHub Stars 66下载 206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
unknown

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:market-weather(市场天气)
来源仓库:https://github.com/indranilbanerjee/digital-marketing-pro
仓库路径:skills/market-weather
安装命令:
npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill market-weather
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill market-weather

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

市场天气用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。适用于跟踪和分析代码协作流程及项目动态,支持多宿主环境集成。

通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 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操作。market-weather 属于待分类类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/market-weather

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

market-weather 怎么安装?

在终端执行 npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill market-we…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

market-weather 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

market-weather 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

market-weather 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

market-weather 用的人多吗?

公开数据是累计安装 630 次,近一周安装 26 次,下载 206 次,GitHub 66 星。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。

market-weather 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
market-weather

市场天气 · 本页

63066只读未明确有提醒

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

/dm:market-weather

Purpose

Generate a Marketing Weather Report — a single-page assessment combining all external signals that affect marketing effectiveness right now. Score current conditions for marketing action (green, yellow, or red) across five dimensions: economic climate, cultural moments, industry and competitive activity, platform changes, and regulatory updates. This command gives marketers a quick go/no-go signal before launching campaigns, adjusting budgets, or making timing decisions. Instead of checking multiple dashboards and news sources, get one consolidated view of whether conditions favor aggressive marketing action, cautious optimization, or defensive positioning. Reports are time-horizon-aware — this week's weather may differ from this quarter's forecast.

Input Required

The user must provide (or will be prompted for):

  • Industry context (optional): Specific industry or vertical to focus the assessment on. If omitted, uses the active brand profile's industry classification. Industry context determines which economic indicators, regulatory developments, and competitive signals are most relevant
  • Time horizon: The planning window for the assessment — this-week (tactical, what to act on now), this-month (operational, what to prepare for), or this-quarter (strategic, what to plan around). Each horizon adjusts the signal weighting and recommendation specificity. If omitted, defaults to this-month
  • Specific concerns to check (optional): Particular areas the user wants assessed — e.g., "any platform algorithm changes this week", "regulatory developments in data privacy", "competitor product launches", or "economic indicators affecting ad spend". These get priority attention in the report alongside the standard five-dimension scan

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply industry classification, target markets, competitive set, and channel mix to focus the weather assessment on relevant signals. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/dm:brand-setup)?" — or proceed with defaults.
  2. Generate weather report: Run macro-signal-tracker.py weather-report --industry {industry} --horizon {horizon} to pull the latest signal data across all five dimensions. If specific concerns were provided, pass them as priority focus areas.
  3. Review and categorize signals: Review all signals recorded in the last 30 days. Categorize each by dimension — economic (consumer confidence, ad market pricing, industry spending trends), cultural (holidays, awareness months, viral moments, social movements), industry (competitor launches, M&A, market shifts), platform (algorithm updates, new ad formats, policy changes, outages), and regulatory (privacy laws, advertising regulations, compliance deadlines). Weight recency and impact severity.
  4. Score each category and overall conditions: Assign a condition score to each dimension — green (favorable for marketing action, no headwinds), yellow (proceed with caution, monitor specific risks, adjust tactics), or red (significant headwinds, delay non-essential launches, shift to defensive positioning). Calculate an overall marketing weather score as the weighted combination of all five dimensions, with weights adjusted by the brand's channel mix and market exposure.
  5. Generate recommendations based on conditions: For each dimension and overall, provide specific actionable recommendations tied to the time horizon. Green conditions get acceleration recommendations. Yellow conditions get risk-mitigation tactics. Red conditions get defensive playbooks. All recommendations reference the specific signals driving the score.
  6. Highlight upcoming events and dates: Surface events, dates, and deadlines within the time horizon that require preparation — holiday campaigns, platform migration deadlines, regulatory compliance dates, competitor event dates, and cultural moments worth leveraging or avoiding.

Output

A structured Marketing Weather Report containing:

  • Overall marketing weather condition: Green, yellow, or red with a one-sentence summary — the executive-level go/no-go signal for marketing action in the current time horizon
  • Per-category conditions: Individual green/yellow/red scores for economic climate, cultural moments, industry and competitive activity, platform changes, and regulatory updates — each with the top signal driving the score and a brief rationale
  • Top signals requiring attention: The 3-5 most impactful signals across all dimensions, ranked by urgency and potential impact on the brand's marketing effectiveness — the signals that should inform this week's decisions regardless of the time horizon selected
  • Upcoming events calendar: Events, dates, and deadlines within the time horizon that need preparation — with lead time estimates and recommended actions for each
  • Recommendations for the time horizon: Specific tactical, operational, or strategic recommendations matched to the selected time horizon and current conditions — what to launch, what to pause, what to prepare, and what to monitor
  • Comparison to previous report: If a prior weather report exists for this brand, show trend direction for each dimension — improving, stable, or declining — so the user can see whether conditions are getting better or worse

Agents Used

  • market-intelligence — Signal assessment across all five dimensions with severity and recency weighting, condition scoring methodology calibrated to brand industry and channel mix, time-horizon-aware recommendation generation, upcoming event identification with preparation timelines, and trend comparison against previous reports for directional context

平台分布

Codex

36.7%
按下载量换算76

Claude

33.12%
按下载量换算68

Cursor

18.04%
按下载量换算37

Gemini CLI

9.35%
按下载量换算19

安全审计

Gen Agent Trust Hub

可疑

Socket

可疑

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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