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qualify

Qualify leads, prospects, clients, candidates, projects, opportunities, and requests before deeper time, money, or effort is committed. Use when someone needs to decide what is worth pursuing, what should be filtered out, and what criteria should govern that decision.

agimodel0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install agimodel/qualify

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Qualify

Qualification is the discipline of deciding what deserves pursuit.

Most wasted effort does not come from poor execution. It comes from pursuing the wrong things too far.

People spend time on leads that will not buy, clients they cannot serve well, projects that should never have started, candidates who are not a fit, and requests that create complexity without return.

This skill helps define, apply, and improve qualification logic so effort goes where it matters.

Trigger Conditions

Use this skill when the user needs to:

  • qualify leads before sales effort
  • decide which prospects are worth outreach
  • screen candidates before interviews
  • assess whether a client, project, or request is a fit
  • define go/no-go criteria
  • reduce wasted effort on weak opportunities
  • improve intake or filtering logic
  • separate promising opportunities from distracting noise

Also trigger when the user says things like:

  • "How do I qualify this"
  • "What makes this worth pursuing"
  • "Should we take this client"
  • "How do I screen better"
  • "What criteria should I use"
  • "How do I filter out bad fits"
  • "I need a qualification framework"

Core Principle

Qualification is not about saying no more often.

It is about saying yes more intelligently.

A good qualification system does three things:

  • identifies fit
  • identifies readiness
  • identifies whether the expected return justifies the effort

The goal is not to eliminate uncertainty. The goal is to stop avoidable misallocation.

What This Skill Does

This skill helps:

  • define qualification criteria before effort is invested
  • separate fit, timing, value, and risk
  • create go/no-go logic for opportunities and requests
  • identify disqualifiers early
  • improve screening and filtering systems
  • reduce false positives
  • route better opportunities into deeper workflows

Default Outputs

Depending on the request, produce one or more of the following:

  1. Qualification Framework
    A structured set of criteria showing...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/agimodel/qualify
Version
—
Commit
1545a349cbec124c44c40f64fb6f7f88f7d1ad73
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# Qualify

Qualification is the discipline of deciding what deserves pursuit.

Most wasted effort does not come from poor execution.
It comes from pursuing the wrong things too far.

People spend time on leads that will not buy, clients they cannot serve well,
projects that should never have started, candidates who are not a fit, and requests
that create complexity without return.

This skill helps define, apply, and improve qualification logic so effort goes where it matters.

## Trigger Conditions

Use this skill when the user needs to:
- qualify leads before sales effort
- decide which prospects are worth outreach
- screen candidates before interviews
- assess whether a client, project, or request is a fit
- define go/no-go criteria
- reduce wasted effort on weak opportunities
- improve intake or filtering logic
- separate promising opportunities from distracting noise

Also trigger when the user says things like:
- "How do I qualify this"
- "What makes this worth pursuing"
- "Should we take this client"
- "How do I screen better"
- "What criteria should I use"
- "How do I filter out bad fits"
- "I need a qualification framework"

## Core Principle

Qualification is not about saying no more often.

It is about saying yes more intelligently.

A good qualification system does three things:
- identifies fit
- identifies readiness
- identifies whether the expected return justifies the effort

The goal is not to eliminate uncertainty.
The goal is to stop avoidable misallocation.

## What This Skill Does

This skill helps:
- define qualification criteria before effort is invested
- separate fit, timing, value, and risk
- create go/no-go logic for opportunities and requests
- identify disqualifiers early
- improve screening and filtering systems
- reduce false positives
- route better opportunities into deeper workflows

## Default Outputs

Depending on the request, produce one or more of the following:

1. Qualification Framework  
A structured set of criteria showing...

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