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client-package-local客户端包本地

Agent Skill

client-package-local 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。

总安装

222

周安装

9

GitHub Stars

607

下载量

70
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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:client-package-local(客户端包本地)
来源仓库:https://github.com/athina-ai/goose-skills
仓库路径:skills/client-package-local
安装命令:
npx skills add https://github.com/athina-ai/goose-skills --skill client-package-local
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 client-package-local

简介

client-package-local 用于将客户工作整合为结构化的本地交付包,包含按日期命名的 .md 文件和 Google Sheets。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中快速构建可导航的成果目录,适用于项目交付和文档整理场景。
  • 通过指定客户名称、日期和介绍信息生成文件,支持自定义收件人和上下文背景。
  • 安装前需确认仓库权限、维护状态及是否涉及文件读写或网络访问。
  • 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。

SKILL.md

create-client-package

Package all GTM work for a client into a structured local delivery package with dated.md files and Google Sheets. Reads the client's workspace folder and builds a navigable directory of deliverables.

Inputs

InputRequiredDefaultDescription
client_nameYes--Client folder name under clients/ (e.g., truewind)
dateNotoday's dateDate string in YYYY-MM-DD format, used for folder and file naming
intro_messageNo--Custom introduction message for the overview file. If not provided, generate one based on assets found.
recipient_nameNo--Name of the person receiving the package (used in intro)
recipient_contextNo--Any framing context for the delivery (e.g., "we built these to capitalize on the Botkeeper shutdown")
include_strategiesNotrueWhether to include strategy documents
include_campaignsNotrueWhether to include campaign assets
include_contentNotrueWhether to include content drafts
include_leadsNotrueWhether to include lead lists (uploaded to Google Sheets)

Setup

Requires access to:

  • Rube MCP server — for creating Google Sheets (via Composio GOOGLESHEETS tools)

No API keys need to be set manually — Google Sheets access is through MCP.

Output Directory Structure

clients/<client_name>/client-package/<YYYY-MM-DD>/
├── Overview - <YYYY-MM-DD>.md
├── Lead Lists - <YYYY-MM-DD>.md
└── Strategies - <YYYY-MM-DD>/
    ├── <Strategy 1 Name>/
    │   ├── overview.md
    │   ├── <Substrategy 1 Name> - <YYYY-MM-DD>.md
    │   ├── <Substrategy 2 Name> - <YYYY-MM-DD>.md
    │   ├── <substrategy-1-leads>.csv
    │   └── <substrategy-2-leads>.csv
    ├── <Strategy 2 Name>/
    │   ├── overview.md
    │   ├── ...
    └── ...

Procedure

Step 1: Scan the Client Folder

Read the client folder at clients/<client_name>/ and inventory all available assets:

clients/<client_name>/
├── context.md          # Client context, ICP, positioning
├── competitors.md      # Competitive landscape (optional)
├── notes.md            # Running log of decisions
├── strategies/         # Strategy documents (*.md)
├── campaigns/          # Campaign assets (folders or *.md)
├── content/            # Content drafts (blog posts, comparison pages, etc.)
└── leads/              # Lead lists (*.csv, *.json, *.md)

For each directory, list all files and read their contents. Build an inventory:

  • Strategies: List of .md files in strategies/ (skip ORCHESTRATION-PROMPT.md and other internal-only files)
  • Campaigns: List of campaign folders or .md files in campaigns/
  • Content: List of .md files in content/
  • Leads: List of .csv and .json files in leads/ (for Google Sheets upload) and .md files (for reference)

If a directory doesn't exist or is empty, skip it.

Step 2: Identify Strategies and Map Assets

Each strategy in strategies/ is a top-level theme. For each strategy:

  1. Read the strategy.md file to understand the strategy name, summary, and execution plan
  2. Map campaigns to strategies — match campaigns in campaigns/ to strategies by name/theme (e.g., hiring-hurting-outreach maps to the hiring-hurting strategy)
  3. Map content to strategies — match content in content/ to strategies by name/theme (e.g., botkeeper-shut-down-what-accounting-firms-should-do-next.md maps to botkeeper-shutdown strategy)
  4. Map leads to strategies — match lead files in leads/ to strategies by name/theme (e.g., botkeeper-linkedin-leads.csv maps to botkeeper-shutdown strategy)

Assets that don't clearly map to a strategy should be grouped under a "General" or "Ungrouped" section.

Step 3: Upload Lead Lists to Google Sheets

For each lead list file (.csv or .json) found in leads/:

  1. Parse the file and extract structured data

- For .csv: parse directly - For .json: read the JSON, flatten into tabular format

  1. Ensure required columns exist. Every Google Sheet MUST include these columns (add them if missing, populate with available data or mark as "N/A"): Additional columns from the source data should be preserved after the required columns.

- Name — lead's full name - Company — company name - Title — job title - LinkedIn URL — LinkedIn profile URL - Source — how we found them (e.g., "LinkedIn Post", "Job Posting", "Conference", "Web Archive") - Qualification Status — e.g., "Qualified", "Not Qualified", "Needs Review" - Qualification Reasoning — why they qualified or didn't

  1. Create a new Google Sheet using RUBE_SEARCH_TOOLS to find GOOGLESHEETS_CREATE_GOOGLE_SHEET1, then execute:

- Title format: <Client Name> — <Lead List Name> (<date>) - Example: Truewind — Botkeeper LinkedIn Leads (2026-02-24)

  1. Write data using GOOGLESHEETS_BATCH_UPDATE:

- First row = headers (required columns first, then additional columns) - Remaining rows = data - Use first_cell_location: "A1" and valueInputOption: "USER_ENTERED"

  1. Record the spreadsheet URL for linking in the Lead Lists summary file

If there are multiple lead files, create sheets in parallel where possible.

Step 4: Create the Package Directory

Create the output directory structure:

mkdir -p clients/<client_name>/client-package/<date>
mkdir -p clients/<client_name>/client-package/<date>/Strategies - <date>

Step 5: Create the Overview File

Create Overview - <date>.md with:

  • A greeting to the recipient (if recipient_name provided)
  • A summary of the engagement — what strategies were developed, how many leads were found, what campaigns were built
  • A table of contents linking to the other files in the package
  • Any framing context from recipient_context
  • A closing line

Example structure:

# GTM Engineering Package — <Client Name>

**Prepared:** <date>
**For:** <recipient_name> (if provided)

## Summary

<Brief overview of what was done — strategies developed, leads found, campaigns built>

## What's Inside

### Strategies
- **<Strategy 1>** — <one-line summary>
- **<Strategy 2>** — <one-line summary>

### Lead Lists
See [Lead Lists - <date>](./Lead Lists - <date>.md) for all lead lists with Google Sheet links.

**Total leads found:** <count across all lists>

### Campaigns
<List of campaigns built, with which strategy they belong to>

### Content
<List of content pieces created>

---

<closing line>

Step 6: Create the Lead Lists File

Create Lead Lists - <date>.md with:

  • A bulleted list of all Google Sheet links created in Step 3
  • For each sheet: the name, number of leads, a brief description of the source/strategy, and the Google Sheet URL

Example:

# Lead Lists — <Client Name>

**Date:** <date>

## Sheets

- **[Truewind — Botkeeper LinkedIn Leads](https://docs.google.com/spreadsheets/d/...)** — 10 leads from LinkedIn posts/comments about Botkeeper shutdown
- **[Truewind — Hiring Signal Leads](https://docs.google.com/spreadsheets/d/...)** — 25 leads from job posting intent signals
- **[Truewind — Conference Speakers Q1-Q2 2026](https://docs.google.com/spreadsheets/d/...)** — 15 leads from accounting conference speaker lists

**Total:** X leads across Y sheets

Step 7: Create Strategy Subfolders

For each strategy identified in Step 2, create a subfolder under Strategies - <date>/:

Strategies - <date>/
└── <Strategy Name>/
    ├── overview.md
    ├── <Substrategy/Campaign 1> - <date>.md
    ├── <Substrategy/Campaign 2> - <date>.md
    ├── <substrategy-1-leads>.csv
    └── <substrategy-2-leads>.csv

overview.md

A summary of the strategy:

  • Strategy name and one-paragraph summary
  • The signal being tracked
  • Target ICP / filters
  • List of substrategies, campaigns, and content pieces with brief descriptions
  • Links to the Google Sheets for any related lead lists

Substrategy / Campaign.md files

For each campaign or content asset mapped to this strategy:

  • Copy the meaningful content from the original file
  • Clean up any internal-only notes or orchestration details
  • Include links to relevant Google Sheets
  • Name the file: <Descriptive Name> - <date>.md

Lead.csv files

For each lead list that maps to this strategy:

  • Export a copy of the lead data as a .csv file in the strategy subfolder
  • Use the standardized columns (Name, Company, Title, LinkedIn URL, Source, Qualification Status, Qualification Reasoning) plus any additional relevant columns
  • Name the file descriptively: <strategy-name>-leads.csv or <specific-source>-leads.csv

Step 8: Verify and Report

After all files are created, output a summary:

## Package Created

**Location:** clients/<client_name>/client-package/<date>/

**Files:**
- Overview - <date>.md
- Lead Lists - <date>.md
- Strategies - <date>/
  - <Strategy 1>/
    - overview.md
    - <Substrategy 1> - <date>.md
    - <substrategy-1>-leads.csv
  - <Strategy 2>/
    - overview.md
    - ...

**Google Sheets:**
- [Lead List 1](<sheets-url>) — 12 leads
- [Lead List 2](<sheets-url>) — 9 leads

**Total:** X files created, Y Google Sheets created, Z total leads

Example Prompts

  • "Package everything we've done for Truewind into a shareable folder"
  • "Create a client delivery package for Acme Corp with all our work"
  • "Build a package for [client] — include strategies, campaigns, and lead lists"
  • "Take our work in clients/truewind and create a deliverable"
  • "Package the client folder into something I can send to the founder"

Troubleshooting

ProblemSolution
Google Sheets creation failsVerify the Rube MCP server is connected and Google Sheets has an active connection. Run RUBE_MANAGE_CONNECTIONS with toolkits: ["googlesheets"].
CSV parsing errorsCheck the CSV for encoding issues. The skill expects UTF-8 CSVs with a header row.
JSON lead files have nested structureFlatten the JSON to tabular format before uploading. Extract the key fields into the required columns.
Lead list is empty or malformedSkip that file and note it in the summary. Don't create an empty Google Sheet.
Strategy mapping is ambiguousWhen a campaign or lead list could belong to multiple strategies, place it under the most specific match. If truly ambiguous, ask the user.
No strategies folder existsCreate a single "General" strategy folder and place all assets there.

Metadata

metadata:
  requires:
    mcp_servers: ["rube"]
  cost: "Free (Google Sheets via Composio)"

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

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按下载量换算24

Claude

28.47%
按下载量换算20

Cursor

18.56%
按下载量换算13

Gemini CLI

9.72%
按下载量换算7

安全审计

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通过

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通过

Snyk

通过

权限和风险

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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。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。

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