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Install in OpenClaw
/install pans-discovery-playbook
Description
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...
Usage Guidance
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.
Capability Analysis
Type: OpenClaw Skill
Name: pans-discovery-playbook
Version: 1.0.0
The skill bundle is a legitimate sales enablement tool designed to generate discovery playbooks for AI infrastructure sales. The Python script (scripts/discovery.py) contains static data structures for various industries and scenarios and performs simple text formatting to Markdown or JSON without any network access, sensitive file system operations, or suspicious execution patterns.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install pans-discovery-playbook - After installation, invoke the skill by name or use
/pans-discovery-playbook - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of pans-discovery-playbook.
- Generates AI compute sales discovery playbooks tailored to scenario and industry.
- Provides interview question lists, industry background, conversation tips, and objection handling strategies.
- Supports scenarios: first call, intro call, POC, and renewal/expansion.
- Covers industries: technology, finance, healthcare, autonomous, media, manufacturing, academic, government.
- Outputs guides in Markdown or JSON, including structured discovery record templates.
Metadata
Frequently Asked Questions
What is Pans Discovery Playbook?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 71 downloads so far.
How do I install Pans Discovery Playbook?
Run "/install pans-discovery-playbook" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Pans Discovery Playbook free?
Yes, Pans Discovery Playbook is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Pans Discovery Playbook support?
Pans Discovery Playbook is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Pans Discovery Playbook?
It is built and maintained by dashiming (@dashiming); the current version is v1.0.0.
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