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market-weather市场天气

Agent Skill

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。

总安装

630

周安装

26

GitHub Stars

66

下载量

206
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

/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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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