Pans Discovery Playbook

v1.0.0

AI算力销售发现阶段话术与框架工具。根据沟通场景（首次电话/需求介绍/POC/ 续约增购）和行业（科技/金融/医疗/自动驾驶/内容/制造/学术/政府）自动生成访谈问题清单、行业背景知识、话术建议和异议处理策略，输出 Markdown 或 JSON 格式发现指南。触发词：发现阶段, 客户访谈, 话术指南, 异...

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by@dashiming

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for dashiming/pans-discovery-playbook.

Previewing Install & Setup.

Prompt PreviewInstall & Setup

Install the skill "Pans Discovery Playbook" (dashiming/pans-discovery-playbook) from ClawHub.
Skill page: https://clawhub.ai/dashiming/pans-discovery-playbook
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install pans-discovery-playbook

ClawHub CLI

Package manager switcher

npx clawhub@latest install pans-discovery-playbook

Security Scan

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OpenClaw

Benign

medium confidence

✓

Purpose & Capability

Name/description match the behavior: an offline playbook generator for discovery calls. Required resources are minimal (a local Python script) and there are no unrelated environment variables, binaries, or config paths requested.

✓

Instruction Scope

SKILL.md instructs running the included Python script to generate Markdown/JSON playbooks for specified scenarios and industries; it does not request reading unrelated system files or contacting external endpoints in the visible instructions.

✓

Install Mechanism

No install spec is provided (instruction-only plus a local script). There is no download-from-URL or package install step that would introduce arbitrary third-party code.

✓

Credentials

The skill declares no required environment variables, credentials, or config paths. The content and sample CLI usage are consistent with a self-contained local generator.

✓

Persistence & Privilege

The skill is not marked always:true and does not request elevated platform privileges. It appears to run on-demand and does not attempt to modify other skills or global agent settings.

Assessment

This skill appears coherent and low-risk: it runs a local Python script to produce interview guides and does not declare credentials or external installs. Before installing or running, review the full scripts/discovery.py (the prompt shows a truncated excerpt) to confirm there are no network calls, subprocess.exec usage, or hidden file writes. Run the script in a sandbox or isolated environment if you plan to feed it sensitive customer data, and avoid passing secrets or private files into the tool unless you’ve inspected the code's I/O behavior.

Like a lobster shell, security has layers — review code before you run it.

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1versions

Updated 1w ago

v1.0.0

MIT-0

Pans Discovery Playbook

Overview

AI算力销售发现阶段话术与框架工具。根据场景和行业生成访谈问题、话术建议和异议处理策略。

场景

场景	说明
`first_call`	首次电话沟通（冷启动，15-20分钟）
`intro_call`	需求介绍会议（深入了解，30-60分钟）
`poc`	POC阶段访谈（技术细节，45-90分钟）
`renewal`	续约/增购沟通（价值回顾，20-30分钟）

行业

technology / finance / healthcare / autonomous / media / manufacturing / academic / government

使用方法

# 生成首次电话沟通指南（科技行业）
python3 scripts/discovery.py --scenario first_call --industry technology --format markdown

# 生成 POC 访谈指南（金融行业）
python3 scripts/discovery.py --scenario poc --industry finance --format json --output result.json

# 续约增购沟通
python3 scripts/discovery.py --scenario renewal --industry healthcare

关键发现记录

工具输出包含结构化发现记录模板，覆盖：

现状了解（团队规模、AI方向、现有架构）
痛点挖掘（核心痛点、紧迫度、业务影响）
权力确认（决策人、技术评估团队）
预算探索（年投入、价格敏感度）
时间线确认（POC需求、关键节点）
竞争态势（现有供应商、我们的优势）

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