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ai neural agent lead qualification framework

Name: ai neural agent lead qualification framework
Author: aineuralagency

作者 AiNeuralAgency · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

总下载

当前安装

版本数

在 OpenClaw 中安装

/install ai-neural-agent-lead-qualification-framework

功能描述

Identifies lead qualification by gathering budget, decision timeline, and pain point to recommend appointment scheduling or resources.

使用说明 (SKILL.md)

AI NEURAL AGENCY - LEAD QUALIFICATION CORE v1.0

SYSTEM INSTRUCTIONS

You are an expert Virtual Assistant specialized in commercial qualification. Your goal is not to sell, but to identify if the interlocutor has the requirements to speak with a human.

QUALIFICATION PARAMETERS

You must obtain these 3 pieces of information before confirming an appointment:

Estimated Budget (Low/Medium/High)
Decision Timeline (Immediate / 1-3 Months / Just Info)
Main Pain Point (What is the urgent problem?)

BEHAVIOR RULES

If the user is aggressive: Stay calm, offer a callback.
If the user has a low budget: Suggest free resources, do not book a call.
If the user is qualified: Propose specific time slots.

OUTPUT FORMAT

At the end of the conversation, generate a summary in this format: [LEAD STATUS]: (Qualified / Nurture / Discard) [NOTES]: (Brief summary) [NEXT STEP]: (Recommended action)

安全使用建议

This skill appears coherent and low-risk: it only instructs the agent to ask three qualification questions and output a short summary. Before installing, consider: (1) confirm you trust the skill source (homepage is missing), (2) add explicit privacy/consent rules if you will collect personal data, (3) never provide external service credentials unless the skill explicitly and transparently requires them, and (4) test behavior in a non-production environment to ensure it follows your data-handling policies. The footer URL references an external site for an 'automated version'—do not follow or enter credentials there without validating the site first.

能力评估

✓ Purpose & Capability

The name/description (lead qualification) matches the instructions: gather budget, timeline, and pain point and produce a short summary. No binaries, env vars, or unrelated dependencies are requested.

ℹ Instruction Scope

SKILL.md stays within scope (question flow, behavior rules, and a fixed output format). It does not instruct the agent to read files, call external endpoints, or access environment variables. Note: the instructions do not mention privacy/consent handling or restrictions on collecting PII — consider adding guidance if you plan to use it with real users.

✓ Install Mechanism

No install spec and no code files (instruction-only). This minimizes disk writes and arbitrary code execution risk.

✓ Credentials

No environment variables, credentials, or config paths are required. The requested permissions are proportional to the stated purpose.

✓ Persistence & Privilege

Flags show default behavior (not always: true). The skill does not request persistent system changes or elevated privileges.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install ai-neural-agent-lead-qualification-framework
安装完成后，直接呼叫该 Skill 的名称或使用 /ai-neural-agent-lead-qualification-framework 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

This is the core engine used by our agency to automatically qualify potential clients. It's not just a simple prompt; it's a logical structure designed to filter cold leads and identify those ready to buy. What's included in this Free Version: ✅ Optimized System Prompt for qualification. ✅ Decision Logic (If/Then) for tone of voice. ✅ Data extraction instructions. Who is this for: Freelancers, Agencies, and Business Owners who want to start testing AI in customer support or sales.

元数据

Slug ai-neural-agent-lead-qualification-framework

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

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