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lead-qualifier领先预选赛

Agent Skill

lead-qualifier 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

7,703

周安装

241

GitHub Stars

公开资料未说明

下载量

2,023
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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

3

许可证

MIT

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:lead-qualifier(领先预选赛)
来源仓库:https://github.com/eddiebe147/claude-settings
仓库路径:skills/lead-qualifier
安装命令:
npx skills add https://github.com/eddiebe147/claude-settings --skill 'Lead Qualifier'
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/eddiebe147/claude-settings --skill 'Lead Qualifier'

简介

用于查找、检索和筛选相关信息,支持基于关键词或任务场景定位结果。

  • 适用于快速获取候选信息,提升 Agent 在复杂查询中的效率。
  • 可通过来源仓库和 README 进一步核验具体用法和功能边界。
  • 安装前建议确认权限范围及是否触发联网或文件读写操作。
  • lead-qualifier 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Lead Qualifier

Transform raw leads into prioritized opportunities with systematic qualification. This skill applies proven frameworks like BANT, MEDDIC, and CHAMP to evaluate leads objectively, ensuring your sales team focuses on prospects most likely to convert.

Stop wasting time on tire-kickers and unqualified prospects. This skill helps you build scoring models, create qualification criteria, and develop consistent processes for evaluating fit, budget, authority, and timing. The result: shorter sales cycles, higher close rates, and more efficient resource allocation.

Ideal for sales teams, SDRs, account executives, and anyone who needs to separate high-potential opportunities from noise.

Core Workflows

Workflow 1: BANT Qualification

  1. Budget Assessment - Determine if prospect has financial resources
  2. Authority Mapping - Identify decision-makers and influencers
  3. Need Verification - Confirm genuine pain points exist
  4. Timeline Discovery - Understand urgency and buying timeframe
  5. Score Calculation - Weight each factor for overall score
  6. Priority Assignment - Categorize as hot, warm, or nurture
  7. Handoff Decision - Route to appropriate sales resource

Workflow 2: Lead Scoring Model Design

  1. Ideal Customer Profile - Define characteristics of best customers
  2. Demographic Scoring - Points for company size, industry, role
  3. Behavioral Scoring - Points for engagement, content consumption
  4. Firmographic Weighting - Prioritize by company attributes
  5. Engagement Thresholds - Set minimum scores for qualification
  6. Score Decay Rules - Reduce scores for inactivity
  7. Model Validation - Test against historical conversion data

Workflow 3: MEDDIC Deep Qualification

  1. Metrics - Quantify the economic impact of your solution
  2. Economic Buyer - Identify who controls the budget
  3. Decision Criteria - Understand evaluation requirements
  4. Decision Process - Map the buying journey and stakeholders
  5. Identify Pain - Uncover compelling business drivers
  6. Champion - Find internal advocate for your solution
  7. Qualification Report - Document findings for deal strategy

Workflow 4: Automated Qualification Workflow

  1. Form Design - Create qualifying questions for lead capture
  2. Progressive Profiling - Gather info across multiple interactions
  3. Enrichment Integration - Add firmographic data automatically
  4. Scoring Triggers - Auto-score based on behavior and data
  5. Routing Rules - Direct leads to right team/process
  6. SLA Management - Set response time requirements
  7. Handoff Automation - Streamline qualified lead delivery

Quick Reference

ActionCommand/Trigger
Score a lead"Qualify this lead using BANT"
Build scoring model"Create lead scoring model for [product]"
Evaluate fit"Assess lead fit for [ICP criteria]"
MEDDIC analysis"Deep qualify this opportunity"
Priority ranking"Rank these leads by likelihood to close"
Qualification questions"Create discovery questions for [industry]"
Disqualification check"What disqualifies a lead for us?"
Score refinement"Adjust scoring model based on [data]"

Best Practices

  • Define ICP first - Know your ideal customer before qualifying anyone
  • Use multiple frameworks - BANT for quick screen, MEDDIC for complex deals
  • Weight recency - Recent engagement matters more than old activity
  • Include negative criteria - Define what disqualifies as clearly as what qualifies
  • Automate where possible - Let technology handle initial scoring
  • Calibrate regularly - Compare predicted vs. actual conversions monthly
  • Document reasoning - Record why leads are qualified/disqualified
  • Set clear thresholds - Specific scores trigger specific actions
  • Train consistently - Everyone should score leads the same way
  • Measure outcomes - Track which qualified leads actually closed
  • Consider timing - Right solution, wrong time still means nurture
  • Map buying committee - Qualify the deal, not just the contact
  • Listen for pain - No pain = no urgency = no deal
  • Validate budget early - Don't invest in opportunities without resources
  • Create feedback loops - Sales insights should refine marketing's scoring

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

29.79%
按下载量换算603

OpenCode

22.09%
按下载量换算447

Gemini CLI

18.4%
按下载量换算372

Antigravity

12.5%
按下载量换算253

windsurf

7.62%
按下载量换算154

Cursor

3.65%
按下载量换算74

安全审计

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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。来源字段存在多来源差异,先按来源优先级自动处理,无法消解时进入异常复核队列。

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