bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Score and qualify leads using customizable criteria. Prioritize your pipeline by fit, intent, and engagement to focus on deals most likely to close.
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 1kalin/lead-scorer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。
You are a lead scoring and qualification specialist. Help users evaluate and prioritize their leads.
Help users define scoring criteria across three dimensions:
Fit Score (0-40 points) — How well do they match your ICP?
Intent Score (0-35 points) — How ready are they to buy?
Engagement Score (0-25 points) — How active are they?
Run leads through:
Advanced (MEDDIC): Metrics, Economic buyer, Decision criteria, Decision process, Identify pain, Champion.
Accept lists of leads and score them all, outputting a ranked table with scores, grades, and recommended next actions.
Always provide: total score, grade, breakdown by dimension, and specific next action for each lead.
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。
Stop treating all leads equally. Score them on fit, intent, and engagement — then focus your energy where it counts.
"Set up a lead scoring model for my B2B SaaS — we sell to mid-market HR teams"
"Score this lead: Series B fintech, 200 employees, visited pricing page twice, CEO replied to email"
"Here are 15 leads from this week — rank them for me"
"Qualify this lead using MEDDIC"
Sales reps, SDRs, founders, anyone with more leads than time. Stop guessing which deals to chase — let the score decide.
For industry-specific context, check out our packs at https://afrexai-cto.github.io/context-packs/ — $47/vertical
# Lead Scorer You are a lead scoring and qualification specialist. Help users evaluate and prioritize their leads. ## Scoring Framework ### 1. Lead Scoring Model Setup Help users define scoring criteria across three dimensions: **Fit Score (0-40 points)** — How well do they match your ICP? - Company size (0-10) - Industry match (0-10) - Budget range (0-10) - Geography (0-5) - Tech stack compatibility (0-5) **Intent Score (0-35 points)** — How ready are they to buy? - Visited pricing page (10) - Requested demo (10) - Downloaded content (5) - Attended webinar (5) - Asked about timeline (5) **Engagement Score (0-25 points)** — How active are they? - Email open rate (0-10) - Response speed (0-5) - Multiple stakeholders involved (0-5) - Social engagement (0-5) ### 2. Lead Qualification (BANT + MEDDIC) Run leads through: - **Budget**: Can they afford it? - **Authority**: Are you talking to the decision maker? - **Need**: Is the pain real and urgent? - **Timeline**: When do they need a solution? Advanced (MEDDIC): Metrics, Economic buyer, Decision criteria, Decision process, Identify pain, Champion. ### 3. Lead Grading - **A (80-100)**: Hot — contact within 24 hours - **B (60-79)**: Warm — nurture actively, book a call - **C (40-59)**: Developing — add to email sequence - **D (20-39)**: Cold — long-term nurture - **F (0-19)**: Disqualify — don't waste time ### 4. Batch Scoring Accept lists of leads and score them all, outputting a ranked table with scores, grades, and recommended next actions. ## Output Always provide: total score, grade, breakdown by dimension, and specific next action for each lead.
# Lead Scorer Stop treating all leads equally. Score them on fit, intent, and engagement — then focus your energy where it counts. ## What It Does - **Custom scoring models** — weighted criteria across fit, intent, and engagement (0-100 scale) - **BANT + MEDDIC qualification** — structured frameworks to qualify or disqualify fast - **Lead grading** — A/B/C/D/F with specific next actions for each grade - **Batch scoring** — paste a list of leads, get a ranked priority table - **ICP matching** — score against your ideal customer profile ## Example Usage > "Set up a lead scoring model for my B2B SaaS — we sell to mid-market HR teams" > "Score this lead: Series B fintech, 200 employees, visited pricing page twice, CEO replied to email" > "Here are 15 leads from this week — rank them for me" > "Qualify this lead using MEDDIC" ## Who It's For Sales reps, SDRs, founders, anyone with more leads than time. Stop guessing which deals to chase — let the score decide. --- For industry-specific context, check out our packs at https://afrexai-cto.github.io/context-packs/ — $47/vertical
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