Overview
- Skill Key
- agimodel/qualify
- Author
- agimodel
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/agimodel/qualify
- Latest Commit SHA
- 1545a349cbec124c44c40f64fb6f7f88f7d1ad73
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.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 qualify 技能。 若已安装,则直接安装 qualify 技能。
# 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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