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leadlead 搜索

Agent Skill

lead 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

11,656

周安装

467

GitHub Stars

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下载量

3,773
OpenClaw

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

MIT-0

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(lead 搜索)
来源仓库:https://github.com/agistack/lead
安装命令:
openclaw skills install lead
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 OpenClaw 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。

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openclaw skills install lead

简介

确定销售前景的资格、确定优先顺序并将其推进到下一个最佳行动中。专为需要更敏锐的领导判断、快速判断的创始人、销售代表和运营商而打造。

SKILL.md

name
Lead
description
Qualify, prioritize, and advance sales prospects into the next best action. Built for founders, sales reps, and operators who need sharper lead judgment, faster follow-up, and cleaner pipeline decisions.
version
2.1.0

Lead

⚠️ Scope Notice This skill is for sales lead qualification only. It is not for music, medicine, journalism, recruiting, or generic team-role uses of the word "lead".

Lead is a decision skill for handling commercial prospects with speed, clarity, and discipline.

Use this skill when you need to:

  • evaluate whether a sales lead is worth active pursuit
  • identify what information is still missing
  • determine the next best action
  • write follow-up that moves the conversation forward
  • prevent good leads from dying due to weak process

Lead vs Prospect

Use Prospect before contact. Use Lead after engagement begins.

ProspectLead
StageBefore contactAfter engagement
Question"Is this target worth reaching out to?""Should I keep pursuing this person?"
InputNames, profiles, company data, signalsConversation history, replies, behavior
OutputPriority tier + routeQualification score + next action

If there has been no reply, no meeting, and no active interaction yet, the contact may still be better handled by Prospect.

What this skill does

Lead helps transform raw prospect information into clear action.

It can:

  • assess lead quality based on fit, intent, urgency, and authority
  • distinguish real opportunities from vague interest
  • identify blockers, risks, and missing qualification data
  • recommend the next best action for each lead
  • draft follow-up messages that have a reason to exist
  • separate active pursuit, nurture, and deprioritize decisions

Best use cases

  • inbound lead triage
  • outbound reply handling
  • founder-led sales
  • SDR qualification
  • stalled lead diagnosis
  • re-engagement planning
  • next-step planning after discovery calls

What to provide

Useful input includes:

  • who the lead is
  • company and role
  • source of the lead
  • what they asked for or responded to
  • current pain point
  • timeline, budget, or buying signals
  • last interaction and current status

What this skill should return

A strong response should usually include:

  1. Lead assessment

- hot / warm / cold - strong fit / unclear fit / weak fit

  1. Missing information

- what must be clarified before investing more time

  1. Risks or friction

- weak authority - weak urgency - weak problem clarity - weak timing - weak follow-through

  1. Next best action

- pursue now - qualify further - nurture - deprioritize

  1. Optional follow-up draft

- short - relevant - specific - non-annoying

Decision principles

  • Do not confuse activity with opportunity.
  • Do not treat every lead as pipeline.
  • Do not push unclear leads into active pursuit too early.
  • Preserve momentum when signal is strong.
  • Reduce wasted effort when fit or timing is weak.
  • Always prefer a clear next step over vague optimism.

Execution Protocol (for AI agents)

When user provides lead information, follow this sequence.

Step 1: Extract context

Parse input for:

  • prospect identity
  • company and role
  • source
  • pain signal
  • engagement level
  • buying context
  • timeline, budget, authority, or competitors if mentioned

Step 2: Score only from visible evidence

Assign 0-10 for each dimension using only evidence present in the input.

Fit Score

  • ICP match
  • problem-product alignment
  • role relevance

Intent Score

  • explicit ask vs passive interest
  • specificity of questions
  • effort already shown

Urgency Score

  • timeline mentioned
  • pain severity
  • trigger event or active problem

Authority Score

  • decision-maker vs influencer
  • budget control
  • internal champion strength

If evidence is missing, do not guess. Score conservatively.

Step 3: Identify gaps

List unknowns that block sound judgment, such as:

  • budget not confirmed
  • authority unclear
  • timeline unknown
  • current solution unknown
  • success criteria unclear

Step 4: Recommend action

Use the score as guidance, not certainty.

  • 32-40: Hot → pursue now
  • 24-31: Warm → qualify further
  • 16-23: Nurture → stay in touch without active pursuit
  • 0-15: Deprioritize → do not invest heavily

Step 5: Draft follow-up if needed

If pursue now or qualify further is recommended:

  • reference something specific they said or did
  • provide new value
  • include one clear next step
  • keep it concise
  • never use empty phrases like "just checking in" or "touching base"

Upstream Check (for AI agents)

If user provides only:

  • names
  • companies
  • roles
  • static firmographic information
  • broad target signals

and there is no sign of reply, meeting, active conversation, or engagement, then respond:

"This may still be a prospect rather than an active lead. Use /prospect when the goal is to filter and prioritize targets before outreach. Use Lead only once engagement has begun."

Activation Rules (for AI agents)

Use this skill when the user is asking about:

  • evaluating a sales lead
  • qualifying a prospect after engagement
  • deciding whether to pursue a business opportunity already in motion
  • handling a stalled commercial conversation
  • writing follow-up for a potential customer

Do NOT use this skill for:

  • music contexts
  • medical or toxicology contexts
  • journalism contexts
  • job-hunting contexts
  • generic project lead or team lead contexts unless clearly about sales

If context is ambiguous

Ask: "Are you asking about evaluating a sales lead or commercial prospect?"

When NOT to use Lead

Do not use this skill when:

  • full CRM architecture design is needed
  • detailed financial forecasting is needed
  • legal review is needed
  • broad sales theory is needed instead of lead-level judgment

Works Well With

  • /prospect for filtering and prioritizing targets before outreach
  • /pipeline for reviewing the health of the whole active opportunity system

Output style

Responses should be:

  • concise
  • commercial
  • diagnostic
  • actionable
  • honest about uncertainty

Never inflate lead quality without evidence. Never recommend aggressive follow-up without a reason. Never fabricate authority, urgency, budget, or buying intent.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

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

OpenClaw

98.01%
按下载量换算3,698

安全审计

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通过

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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

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来源信息

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