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onboarding-kickoff入职启动

Agent Skill

onboarding-kickoff 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

343

周安装

14

GitHub Stars

9

下载量

111
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:onboarding-kickoff(入职启动)
来源仓库:https://github.com/aiagentwithdhruv/skills
仓库路径:skills/onboarding-kickoff
安装命令:
npx skills add https://github.com/aiagentwithdhruv/skills --skill onboarding-kickoff
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/aiagentwithdhruv/skills --skill onboarding-kickoff

简介

onboarding-kickoff 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。

  • 它支持基于上下文过滤内容、提取关键实体并生成结构化摘要。
  • 通过 npx skills add 命令从指定仓库安装,需确认权限范围和操作边界。
  • 安装前建议核实维护状态、是否会触发联网或文件读写,避免误操作影响生产环境。
  • 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

Post-Kickoff Client Onboarding

Goal

Automated onboarding workflow that runs after kickoff call. Generates leads, creates campaigns, and sets up auto-reply system.

Inputs (from kickoff call)

Required:

  • client_name: Company name
  • client_email: Primary contact email
  • service_type: What service they provide
  • target_location: Geographic area
  • offers: Three offers (pipe-separated)
  • target_audience: Who they're targeting
  • social_proof: Credentials/results

Optional:

  • lead_limit: Number of leads (default: 500)
  • value_proposition: Additional context

Scripts

  • ./scripts/gmaps_lead_pipeline.py - Lead generation
  • ./scripts/casualize_company_names_batch.py - Name casualization
  • ./scripts/instantly_create_campaigns.py - Campaign creation
  • ./scripts/onboarding_post_kickoff.py - Full orchestration
  • ./scripts/update_sheet.py - Sheet updates

Process

Step 1: Generate Lead Search Query

Format: {service_type} in {target_location} Example: "plumbers in Austin TX"

Step 2: Scrape and Enrich Leads

python3 ./scripts/gmaps_lead_pipeline.py \
  --search "{service_type} in {target_location}" \
  --limit {lead_limit} \
  --sheet-name "{client_name} - Leads" \
  --workers 5

Step 3: Casualize Company Names

python3 ./scripts/casualize_company_names_batch.py \
  --sheet-url "{sheet_url}" \
  --column "business_name" \
  --output-column "casualCompanyName"

Step 4: Create Instantly Campaigns

python3 ./scripts/instantly_create_campaigns.py \
  --client_name "{client_name}" \
  --client_description "..." \
  --offers "{offers}" \
  --target_audience "{target_audience}" \
  --social_proof "{social_proof}"

Step 5: Upload Leads to Campaigns

Distribute leads evenly across 3 campaigns via Instantly API.

Step 6: Add Knowledge Base Entry

Add entry to auto-reply knowledge base sheet for intelligent response handling.

Step 7: Send Summary Email

Send completion email to client with:

  • Campaign links and leads counts
  • Lead spreadsheet URL
  • Auto-reply configuration details
  • Next steps

Output

{
  "status": "success",
  "client_name": "...",
  "sheet_url": "...",
  "lead_count": 50,
  "campaigns": [...],
  "leads_uploaded": true,
  "knowledge_base_updated": true,
  "summary_email_sent": true
}

Timing

  • Full workflow: ~10-15 minutes for 50 leads
  • Lead scraping uses 5 workers by default

Error Handling

  • < 10 leads found: Warn but continue
  • 0 leads found: Error (bad search query)
  • Instantly API error: Capture, note for manual fix
  • Sheet/email failures: Log but complete workflow

Schema

Inputs

NameTypeRequiredDescription
client_namestringYesCompany name
client_emailstringYesPrimary contact email
service_typestringYesWhat service they provide
target_locationstringYesGeographic area
offersstringYesThree offers (pipe-separated)
target_audiencestringYesWho they're targeting
social_proofstringYesCredentials/results
lead_limitintegerNoNumber of leads (default: 500)

Outputs

NameTypeDescription
statusstringsuccess/failure
sheet_urlstringLead spreadsheet URL
lead_countintegerNumber of leads generated
campaignsarrayCampaign IDs created
summary_email_sentbooleanWhether summary was emailed

Credentials

NameSource
APIFY_API_TOKEN.env
ANTHROPIC_API_KEY.env
INSTANTLY_API_KEY.env

Composable With

Skills that chain well with this one: gmaps-leads, casualize-names, instantly-campaigns, welcome-email

Cost

~$5-10 for 500 leads + campaigns

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

32.89%
按下载量换算37

Claude

28.67%
按下载量换算32

Cursor

18.47%
按下载量换算21

Gemini CLI

10.4%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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