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Agent Skill · 研究检索

early-access-email-sequence(早期访问电子邮件序列)

early-access-email-sequence 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

early-access-email-sequence 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 69,971。

总安装 214周安装 9GitHub Stars 607下载 75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:early-access-email-sequence(早期访问电子邮件序列)
来源仓库:https://github.com/athina-ai/goose-skills
仓库路径:skills/early-access-email-sequence
安装命令:
npx skills add https://github.com/athina-ai/goose-skills --skill early-access-email-sequence
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/athina-ai/goose-skills --skill early-access-email-sequence

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于 Goose 平台注册用户的邮件序列生成。自动生成 7 封个性化 onboarding 邮件。按角色与激活状态分支定制内容策略。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。输出保存至 Notion 数据库便于定时发送。

early-access-email-sequence 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/early-access-email-sequence

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/athina-ai/goose-skills --skill early-access-em…;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

    它需要调用外部服务,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

early-access-email-sequence 怎么安装?

在终端执行 npx skills add https://github.com/athina-ai/goose-skills --skill early-access-email-sequen…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

early-access-email-sequence 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。

early-access-email-sequence 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

early-access-email-sequence 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。

early-access-email-sequence 用的人多吗?

公开数据是累计安装 214 次,近一周安装 9 次,下载 75 次,GitHub 607 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。

early-access-email-sequence 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。

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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
early-access-email-sequence

早期访问电子邮件序列 · 本页

214607调用外部服务未明确有提醒

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

Early Access Email Sequence Generator

Research a new Goose signup, then generate all 7 onboarding emails personalized with real context about their role and company. Output goes to a shared Notion database — one row per person, every email ready to copy-paste and send on schedule.

The sequence runs over 14 days (Day 0, 2, 5, 8, 10, 12, 14). Emails 2 and 4 are personalized by role. Emails 1, 5, 6 are universal. Emails 3 and 7 branch by activation status (generate the default version; note when to swap).

Inputs

InputRequiredDescription
linkedin_urlYesLinkedIn profile URL of the signup
company_domainYesCompany website domain (e.g., posthog.com)
signup_dateYesDate they signed up (to calculate send dates). Default: today.
sender_nameNoName to sign emails with. Default: ask the user.
calendly_linkNoCalendly URL for feedback calls. Default: ask the user.
notion_db_urlNoExisting Notion database URL to add the row to. If not provided, create a new database.

For batch processing, accept a list of {linkedin_url, company_domain, signup_date} objects and process each one sequentially.

Procedure

Phase 1: Research the Person

Use web search to gather context on the signup. Do NOT scrape LinkedIn directly — use web search queries that surface LinkedIn profile data.

  1. Search for the person:

- WebSearch: "{{linkedin_url}}" OR site:linkedin.com/in/{{handle}} - WebSearch: "{{person_name}}" {{company}} LinkedIn (once you have their name)

  1. Extract:

- Full name - Current title and role - Company they work at (confirm it matches the provided domain) - Seniority level (IC, Manager, Director, VP, C-suite, Founder) - Any recent LinkedIn posts or activity themes (if surfaced in search results) - Background: previous companies, career trajectory

  1. If LinkedIn data is thin, supplement with:

- WebSearch: "{{person_name}}" {{company}} (company blog, press mentions, podcast appearances) - This additional context helps personalize Emails 2 and 4

Phase 2: Research the Company

Run these searches in parallel where possible:

  1. What they do:

- WebFetch: https://{{company_domain}} — extract tagline, product description, target audience - If the site is JS-rendered and returns little content, fall back to WebSearch: {{company_domain}} what does {{company}} do

  1. GTM motion:

- Check for self-serve signup / free trial (PLG signal) - Look for "Book a demo" / "Contact sales" (sales-led signal) - Check pricing page: transparent pricing = PLG, "Contact us" = sales-led - WebSearch: {{company}} careers sales OR marketing OR growth — are they hiring GTM roles?

  1. Size and stage:

- WebSearch: {{company}} funding round series — latest funding, stage - WebSearch: {{company}} headcount employees — approximate team size - Check LinkedIn company page follower count if surfaced

  1. Competitors:

- WebSearch: {{company}} competitors alternatives vs - WebSearch: {{company}} G2 category — what category are they in? - Identify 2-3 named competitors (used to personalize Email 4 marketing variant)

  1. Compile a company summary (2-3 sentences):

- What they do, who they sell to, how they sell (PLG vs sales-led), approximate size, key competitors

Phase 3: Classify Role

Based on the person's title, classify into one of four buckets. This determines which variants of Emails 2 and 4 to use.

BucketMatching TitlesNotes
SalesSDR, BDR, AE, Account Executive, Sales Manager, VP Sales, CRO, Head of Sales, Sales Director, RevenueAnyone whose job is closing deals or generating pipeline
MarketingContent, SEO, Demand Gen, CMO, Marketing Manager, VP Marketing, Growth Marketing, Brand, Communications, PRAnyone whose job is creating demand or content
Growth / RevOpsGrowth, RevOps, GTM Ops, Revenue Operations, Head of Growth, Business Operations, Strategy & OpsAnyone running GTM systems, ops, or cross-functional growth
FounderCEO, Co-founder, Founder, CTO (at <20 person company), COO (at <20 person company)Founders wearing the GTM hat. If company is <20 people and title is C-suite, classify as Founder.

Ambiguous cases:

  • "Head of Growth Marketing" → Marketing (has "Marketing" in title)
  • "VP Revenue" → Sales (Revenue usually maps to sales leadership)
  • "COO" at a 200-person company → Growth/RevOps (not a founder wearing all hats)
  • "Product Manager" → Growth/RevOps (closest fit; PM cares about activation, not sales)
  • If truly ambiguous, default to Founder — it's the most general variant

Phase 4: Generate Emails

Read the email templates from references/email-templates.md in this skill's directory.

For each email, apply the research to personalize:

Email 1 (Day 0) — Welcome:

  • Replace {{first_name}}, {{sender_name}}, {{calendly_link}}
  • No heavy personalization needed

Email 2 (Day 2) — Use Case #1:

  • Select the variant matching the role bucket
  • Replace all standard variables
  • Write the [PERSONALIZE] section: 1-2 sentences connecting the workflow to something specific about their company, based on your Phase 2 research. This is where the value is — reference their GTM motion, their market, their competitors, or their stage. Be specific and concrete, not generic.

Email 3 (Day 5) — Nudge:

  • Generate the "not activated" version (default)
  • Add a note: "If {{first_name}} has completed a workflow by Day 5, swap to the activated variant: [include activated variant text]"

Email 4 (Day 8) — Use Case #2:

  • Select the variant matching the role bucket
  • Replace all standard variables
  • Write the [PERSONALIZE] section: connect the second workflow to their specific situation. Use competitor names, industry events, or market context from your research.

Email 5 (Day 10) — Community Spotlight:

  • Output as template with placeholders intact ({{top_workflow}}, {{X}}, etc.)
  • Add a note: "WRITE THIS LIVE on {{send_date}} with real usage data. Do not send with placeholder content."

Email 6 (Day 12) — Skills Page:

  • Replace {{first_name}} and {{sender_name}}
  • No personalization needed

Email 7 (Day 14) — Feedback Ask:

  • Generate the "not activated" version (default)
  • Add a note: "If {{first_name}} has been active, swap to the activated variant: [include activated variant text]"

Phase 5: Calculate Send Dates

From the signup_date, calculate each email's send date:

EmailDay OffsetSend Date
Email 1Day 0signup_date
Email 2Day 2signup_date + 2 days
Email 3Day 5signup_date + 5 days
Email 4Day 8signup_date + 8 days
Email 5Day 10signup_date + 10 days
Email 6Day 12signup_date + 12 days
Email 7Day 14signup_date + 14 days

Phase 6: Output to Notion

First-time setup (no existing database)

If notion_db_url is not provided, create a new Notion database. Use the Notion MCP notion-create-database or create a database page manually.

Database schema:

PropertyTypeDescription
NameTitlePerson's full name
CompanyTextCompany name
Role BucketSelect (Sales, Marketing, Growth/RevOps, Founder)Classified role
LinkedIn URLURLProfile link
Signup DateDateWhen they signed up
StatusSelect (New, Email 1 Sent, Email 2 Sent,..., All Sent)Sending progress tracker
Person SummaryTextResearch notes on the person
Company SummaryTextResearch notes on the company
Email 1 SubjectTextSubject line
Email 1 BodyTextFull email body
Email 1 Send DateDateWhen to send
Email 2 SubjectTextSubject line
Email 2 BodyTextFull email body
Email 2 Send DateDateWhen to send
Email 3 SubjectTextSubject line
Email 3 BodyTextFull email body
Email 3 Send DateDateWhen to send
Email 4 SubjectTextSubject line
Email 4 BodyTextFull email body
Email 4 Send DateDateWhen to send
Email 5 SubjectTextSubject line
Email 5 BodyTextTemplate — fill live on send date
Email 5 Send DateDateWhen to send
Email 6 SubjectTextSubject line
Email 6 BodyTextFull email body
Email 6 Send DateDateWhen to send
Email 7 SubjectTextSubject line
Email 7 BodyTextFull email body
Email 7 Send DateDateWhen to send
NotesTextSwap notes, activation variants, special observations
Adding a row

Use notion-create-pages with the database as parent. Fill all properties from the generated content.

In the Notes column, include:

  • The activated variant text for Email 3 (to swap if needed)
  • The activated variant text for Email 7 (to swap if needed)
  • Any special observations from research that might be useful for the sender
After creating the row

Confirm to the user:

Added {{name}} ({{role_bucket}}) at {{company}} to the email sequence.
- Email 1 ready to send: {{email_1_send_date}}
- Email 2 ready to send: {{email_2_send_date}} ({{role_bucket}} variant: {{use_case_1}})
- ...through Email 7 on {{email_7_send_date}}
- Company summary: {{company_summary_short}}

Batch Processing

When given multiple signups at once:

  1. Collect all {linkedin_url, company_domain, signup_date} entries
  2. Process each person sequentially through Phases 1-5
  3. Add all rows to the same Notion database
  4. After all are processed, show a summary table:
#NameCompanyRoleEmail 1 DateEmail 7 Date
1...............

Email Writing Rules

These are non-negotiable — every generated email must follow them:

  1. No filler openers. Never "I hope this finds you well", "I hope you're having a great week"
  2. Under 150 words per email. Most should be 80-120 words.
  3. One CTA per email. Never two asks in one email.
  4. Sound like a founder, not a marketing team. Casual, direct, no corporate speak.
  5. The [PERSONALIZE] sections are the entire value. Generic personalization ("since you're in B2B SaaS...") is worthless. Reference specific things: their competitor names, their GTM motion, their funding stage, their market. If research didn't surface anything specific enough, say something honest about why this workflow matters for companies at their stage.
  6. Sign off with name only. No "Best regards", no title, no company. Just the name.
  7. No emoji in emails. Professional but warm.

Example

Input:

linkedin_url: https://www.linkedin.com/in/jamesmith
company_domain: posthog.com
signup_date: 2026-03-10

Research findings:

  • Jane Smith, Head of Growth at PostHog
  • PostHog: open-source product analytics, PLG motion, ~80 employees, Series B ($45M), competes with Amplitude, Mixpanel, Heap
  • Role bucket: Growth / RevOps

Email 2 personalization (Growth/RevOps variant):

Since you're running growth at PostHog, this one's for you:... Given PostHog's open-source PLG motion and the Amplitude/Mixpanel competitive landscape, the audit's competitive positioning section will show you exactly where PostHog's content gaps are vs. those incumbents — and the white space map tends to surface channels that open-source companies underinvest in.

That level of specificity — naming their competitors, referencing their PLG motion, noting the open-source angle — is what makes the email feel personal rather than templated.

Dependencies

  • Web search and web fetch capabilities (for research)
  • Notion MCP tools (notion-create-pages, notion-fetch, optionally notion-create-database)
  • Email templates at references/email-templates.md in this skill's directory

平台分布

Codex

36.35%
按下载量换算27

Claude

30.71%
按下载量换算23

Cursor

18.92%
按下载量换算14

Gemini CLI

9.47%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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