Spin Sales Skill

Guides users through a structured SPIN selling process from opening to need-payoff, with real-time objection handling to diagnose and address customer needs.

Security Scan

The skill's stated purpose (a SPIN selling assistant) matches the included code, but the instructions reference multiple missing or misnamed files and inconsistent paths — this packaging sloppiness creates functional and security ambiguity.

Purpose & Capability

The skill's name, description, and the demo script all align with a SPIN-selling assistant. No binaries, credentials, or external services are requested, which is proportionate for the stated purpose. However, SKILL.md and the instructions reference modules (e.g., scripts/opening.py, references/p-questions.md, references/i-questions.md, references/n-questions.md, References/Objection_Handling.md) that are not present in the file manifest; this mismatch reduces confidence that the package is complete.

Instruction Scope

Runtime instructions require running scripts/demo_interview.py and using multiple reference files. Several referenced paths and filenames are inconsistent with the manifest (case differences and missing p/i/n question files, referenced scripts/opening.py doesn't exist). These inconsistencies could cause the agent to fail or to behave unpredictably if it attempts to auto-resolve missing resources.

Install Mechanism

No install spec — instruction-only with a small included Python script. No downloads, package installs, or archive extraction. Low install risk.

Credentials

The skill requests no environment variables, credentials, or config paths. The included script performs only console I/O (prints and input). No evidence of accessing secrets or external services.

Persistence & Privilege

Flags are default (always:false); the skill does not request persistent presence or elevated privileges and doesn't modify other skills or system config. Normal autonomy policy applies.

What to consider before installing

This package looks like a straightforward SPIN-selling assistant, but the SKILL.md and instructions reference several files that are missing or misnamed in the bundle. Before installing or enabling the skill: 1) Ask the publisher for a corrected package that includes the referenced files (scripts/opening.py and the p/i/n question files) or update SKILL.md to point to the actual files present. 2) Verify there are no hidden network endpoints or extra scripts in a corrected release. 3) Run the provided scripts in a safe, isolated environment to confirm behavior (the demo script only uses local console I/O). 4) If you expect autonomous invocation, confirm how the agent will be allowed to locate and run the missing resources — unresolved references can lead the agent to attempt unsafe fallback behaviors. The current inconsistencies look like sloppy packaging rather than overt malice, but they create functional ambiguity that you should resolve before trusting the skill in production.

🚀 终极版 SPIN 销售法专家系统 (Ultimate SPIN Selling Expert System)

🎯 技能目标

提供一个从开场、到挖掘、再到促成的全周期、可操作的销售对话脚本框架。它要求用户或AI必须按照流程化的顺序进行提问和引导，模拟一次完整的销售咨询过程。

📜 流程与模块（Workflow & Modules）

本技能由以下相互关联的子模块构成，使用时必须按顺序执行：

1. [开场] 破冰脚本: 总是从这里开始。使用 scripts/opening.py 来确保初次接触的专业性和亲和力。
2. [流程核心] S-P-I-N 循环:
   • Situation (S): 参考 references/s-questions.md 收集背景事实。
   • Problem (P): 参考 references/p-questions.md 挖掘痛点。
   • Implication (I): 参考 references/i-questions.md 放大痛点影响。
   • Need-Payoff (N): 参考 references/n-questions.md 引导价值确认。
3. [防御机制] 异议处理: 随时准备。如果客户提出质疑，必须转入该模式，参考 references/objections.md 进行专业的回应和引导，避免在压力下偏离主线。

💡 关键指导原则

• 线性流程与灵活补充: 遵循 S-P-I-N 的核心流程，但必须将“异议处理”视为任何阶段都可以插入的中断和修正机制。
• 必须以脚本启动: 始终从 scripts/opening.py 开始，确保开场专业化。

🧩 脚本执行指南

使用 scripts/demo_interview.py 来管理整个流程的状态和状态切换。此脚本内置了流程的状态机，用于指导您的提问。

📚 知识库与参考（References）

所有深度的知识点和高阶问题均已分离到 references/ 目录下，以保持 SKILL.md 的简洁性。

• references/s-questions.md: 现状问题（Facts）。
• references/p-questions.md: 痛点挖掘（Pain）。
• references/i-questions.md: 影响放大（Impact）。
• references/n-questions.md: 价值确认（Value）。
• references/objections.md: 应对异议（Objections）。
• assets/opening_scripts.md: 用于学习开场白的专业脚本。

👉 使用建议: 每次使用时，请先运行 scripts/demo_interview.py，让脚本引导您进入流程，并根据需要随时参考 references/objections.md 来处理突发状况。