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Agent Skill · 研究检索

commercial-account-growth(商业账户增长)

commercial-account-growth 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。

commercial-account-growth 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,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 69,087。

总安装 220周安装 9GitHub Stars 1下载 71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:commercial-account-growth(商业账户增长)
来源仓库:https://github.com/piperubio/ai-agents
仓库路径:skills/commercial-account-growth
安装命令:
npx skills add https://github.com/piperubio/ai-agents --skill commercial-account-growth
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/piperubio/ai-agents --skill commercial-account-growth

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。

commercial-account-growth 用于系统识别和推进客户账户增长机会,提升咨询客户关系的长效价值。适用于 B2B 咨询服务中从交付到销售的闭环管理,支持“先获客、再扩张、后推荐”的 Land & Expand 模型。

通过结构化分析初始合作与后续拓展路径,输出可执行的增长策略和推荐机制,辅助商业团队制定扩张计划。安装前需确认仓库权限、维护状态及是否涉及网络访问或文件操作,建议结合原始 README 进一步验证功能边界。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。

来源仓库内路径:skills/commercial-account-growth

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/piperubio/ai-agents --skill commercial-account…;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

commercial-account-growth 怎么安装?

在终端执行 npx skills add https://github.com/piperubio/ai-agents --skill commercial-account-growth。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

commercial-account-growth 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。

commercial-account-growth 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。

commercial-account-growth 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。

commercial-account-growth 用的人多吗?

公开数据是累计安装 220 次,近一周安装 9 次,下载 71 次,GitHub 1 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。

commercial-account-growth 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 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。
  • 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。

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
commercial-account-growth

商业账户增长 · 本页

2201只读未明确通过

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

Commercial Account Growth

Purpose

Maximize lifetime value of consulting client relationships by systematically identifying and pursuing expansion opportunities. This skill closes the loop between delivery (PM suite) and sales (Commercial suite), ensuring successful projects naturally lead to more engagements.

Key Insight — The Land & Expand Model for Consulting

  • Land: Win an initial engagement (often Phase 0 assessment or a single workstream).
  • Expand: Grow within the account through adjacent workstreams, new service lines, or deeper engagements.
  • Advocate: Turn happy clients into references, case studies, and referral sources.
  • The cost of expanding within an existing account is 5–7× lower than acquiring a new client.

Inputs

  • commercial-state.md — pipeline and account intelligence.
  • Project delivery artifacts (from PM suite): project-state.md, lessons-learned.md, closure-report.md.
  • user_input — account context, relationship status, strategic goals.
  • Optional: client satisfaction data, NPS feedback.

Outputs (Contract)

1. account-growth-plan.md — Per Account

Generate a structured Markdown document with the following sections:

Account Health Assessment
  • Delivery satisfaction: Based on project outcomes, lessons learned.
  • Relationship strength: Champion engagement, exec access, trust level.
  • Revenue trajectory: Current, historical, potential.
  • Strategic alignment: Does this account align with our growth strategy?
Expansion Signals Detected

Scan project delivery data for:

  • Upsell signals: Client asking for more scope, next phases mentioned, new pain discovered during delivery.
  • Cross-sell signals: Adjacent needs identified (e.g., delivered Software, they need Data next).
  • Advocacy signals: Client expressing satisfaction, willing to be referenced, internal champion promoting us.
  • Risk signals: Champion leaving, budget cuts, competitor entering, delivery issues.
Expansion Opportunities (Prioritized)

For each opportunity include: description, service line, estimated value, probability, effort to pursue, recommended approach. Separate quick wins from strategic plays.

Recommended Actions (Next 90 Days)
  • Relationship actions: Exec alignment, QBR, dinner, etc.
  • Technical actions: Assessment of new area, POC, workshop.
  • Commercial actions: Proposal for next phase, cross-sell pitch.
Account Revenue Projection

Current year, next 12 months, 3-year potential. Label all figures as estimates.

2. case-study.md — When Requested or Supported by Closure Data

Follow the STAR framework:

  • Situation: Client context and challenge (anonymizable).
  • Task: What we were engaged to do.
  • Action: How we approached it (methodology, team, approach).
  • Result: Quantified outcomes (metrics, improvements, ROI).

Include: client quote (if available), timeline, team size, technologies used. Produce two versions: detailed (for sales use) and summary (for website/marketing).

3. Updated commercial-state.md

Enrich account intelligence and add new opportunities to pipeline.

Expansion Signal Detection Framework

During Active Projects

  • "Can you also help with…" → immediate upsell opportunity.
  • New stakeholders engaging → wider organizational interest.
  • Client team struggling with adjacent area → cross-sell opportunity.
  • Positive project reviews → advocacy opportunity.

At Project Closure

  • Lessons learned mention future needs → next engagement.
  • Client requests extended support → retainer opportunity.
  • High satisfaction scores → case study and referral opportunity.

Between Engagements

  • Industry changes affecting client → proactive outreach with insight.
  • New leadership at client → re-engagement opportunity.
  • Client mentioned in news (funding, M&A, expansion) → trigger event.

Guardrails

  1. Never push expansion on an unhappy client — fix delivery issues first.
  2. Account growth must be genuinely in the client's interest, not just ours.
  3. Case studies must be approved by the client before any external use.
  4. Do not propose expansion if current project is at risk — focus on delivery.
  5. Cross-sell must be supported by genuine capability, not aspiration.
  6. Revenue projections must be clearly labeled as estimates, not commitments.
  7. Relationship actions must respect the client's time and boundaries.
  8. Always check for non-compete or exclusivity clauses before cross-selling.

Example

Scenario: A 6-month data platform project is completing. During delivery the client's analytics lead mentioned: "We've got all this data now but nobody knows how to build ML models on it."

Expansion signals detected:

  • Cross-sell (Data → AI): Client expressed need for ML capabilities adjacent to delivered data platform.
  • Upsell: Potential Phase 2 for data platform enhancements (data quality, new sources).
  • Advocacy: Project delivered on time, client sponsor praised the team in the retrospective.

Recommended actions:

  1. Schedule a 1-hour ML readiness workshop (technical action — low effort, high signal).
  2. Draft a Phase 2 proposal for data platform enhancements (commercial action).
  3. Request a client quote for a case study on the data platform delivery (advocacy action).
  4. Propose a QBR with the client CTO to discuss data & AI roadmap alignment (relationship action).

Projected value: Current engagement $400K → Phase 2 $200K + ML engagement $350K → 12-month potential $950K.

Resources

references/

  • expansion-playbooks.md: Detailed playbooks for upselling, cross-selling, advocacy, QBRs, account planning, churn prevention, and revenue metrics. Read when executing any specific expansion activity.

平台分布

Codex

34.77%
按下载量换算25

Claude

31.66%
按下载量换算22

Cursor

17.87%
按下载量换算13

Gemini CLI

8.43%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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