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Newsletter Audience Intelligence

作者 Dmitriy · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install newsletter-audience-intelligence
功能描述
Use when the user asks to understand newsletter audience quality, segment readers, summarize survey/reply/click data, prove sponsor value, create media-kit p...
使用说明 (SKILL.md)

Newsletter Audience Intelligence

Turn subscriber, reply, survey, source, and click data into sponsor-ready audience proof and operating decisions.

Core Rule

Use connected analytics, subscriber data, source attribution, survey answers, replies, sponsor history, and issue history when available. Do not invent audience metrics, demographics, reader quotes, locations, job titles, or intent signals.

Inputs

  • Newsletter name, category, audience, geography or market
  • Current subscriber count, opens, clicks, replies, source attribution, and survey data if available
  • Reader segments or tags already used
  • Sponsor, paid conversion, growth, or content-quality goal
  • Known acquisition sources: Meta, Reddit, X, LinkedIn, TikTok, referrals, swaps, events, search, or organic
  • Connected workspace, analytics export, or manual data if available

Workflow

  1. Separate known data from assumptions and missing data.
  2. Identify useful audience segments by source, geography, role, interest, behavior, lifecycle, or purchase intent.
  3. Compare segment quality using engagement, clicks, replies, conversions, and sponsor fit.
  4. Extract sponsor-proof bullets without overclaiming attribution.
  5. Flag weak or missing proof needed before selling sponsors or scaling acquisition.
  6. Recommend 3-7 survey, onboarding, reply, or tagging improvements.
  7. Save or hand off audience insights, segment notes, and next data collection steps for the connected workspace.

Output Format

When a reusable artifact is useful, follow templates/audience-proof.md.

Include:

  • Audience-quality summary
  • Known data vs missing data
  • Segment table
  • Sponsor-proof bullets
  • Weak proof or risk notes
  • Data collection plan
  • Connected-workspace handoff notes

Segment table columns:

Segment Evidence Value to operator Sponsor relevance Confidence Next data to collect

Guardrails

  • Do not infer demographics from stereotypes or category assumptions.
  • Do not treat subscriber count as sponsor proof by itself.
  • Keep exact metrics separate from qualitative signals.
  • If data is thin, output a collection plan instead of pretending there is a strong audience story.
  • Do not export, delete, tag, or modify subscribers without explicit approval and an available workspace/API tool.
安全使用建议
Before installing, be comfortable with the agent reviewing newsletter audience and engagement data you provide or connect. Review any generated workspace handoff or saved report before sharing it, especially if it includes private subscriber, sponsor, survey, or reply data.
能力评估
Purpose & Capability
The skill's stated purpose is newsletter audience analysis, segmentation, sponsor proof, and data collection planning; its workflow and requested inputs align with that purpose.
Instruction Scope
Instructions focus on separating known data from assumptions, comparing audience segments, and avoiding invented metrics, demographics, quotes, or intent signals.
Install Mechanism
The package contains only a single non-executable SKILL.md file, with no dependencies, scripts, or API key requirement.
Credentials
It may use subscriber, analytics, reply, survey, sponsor, and workspace data when available; that data can be sensitive, but it is proportionate to the stated analytics purpose.
Persistence & Privilege
It mentions saving or handing off insights to a connected workspace, but does not request background execution, elevated privileges, credentials, or automatic changes, and explicitly forbids exporting, deleting, tagging, or modifying subscribers without approval and an available tool.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install newsletter-audience-intelligence
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /newsletter-audience-intelligence 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of newsletter-audience-intelligence skill. - Transforms subscriber, survey, reply, click, and source data into actionable audience insights for newsletters. - Compares audience segments on engagement, sponsor fit, and quality using only available, explicit data. - Provides sponsor-ready proof points, risk flags, and clear separation of known vs. missing data. - Offers a structured workflow and output format for consistent reporting. - Includes recommendations for improved data collection and integration with connected workspaces. - Strong guardrails to avoid overstating metrics or inferring unsupported demographic details.
元数据
Slug newsletter-audience-intelligence
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Newsletter Audience Intelligence 是什么?

Use when the user asks to understand newsletter audience quality, segment readers, summarize survey/reply/click data, prove sponsor value, create media-kit p... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 40 次。

如何安装 Newsletter Audience Intelligence?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install newsletter-audience-intelligence」即可一键安装,无需额外配置。

Newsletter Audience Intelligence 是免费的吗?

是的,Newsletter Audience Intelligence 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Newsletter Audience Intelligence 支持哪些平台?

Newsletter Audience Intelligence 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Newsletter Audience Intelligence?

由 Dmitriy(@freeman14)开发并维护,当前版本 v1.0.0。

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