Sop extraction from conversation

Skill ECNU-ICALK/AutoSkill/SkillBank/Users/chinese_gpt3.5_8_GLM4.7/sop_extraction_from_conversation

Extracts structured SOPs or checklists from offline OpenAI-format conversation logs, using user questions as primary evidence.From its SKILL.md

Install

npx -y skills add ECNU-ICALK/AutoSkill --skill sop_extraction_from_conversation

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SKILL.md

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sop_extraction_from_conversation

Extracts structured SOPs or checklists from offline OpenAI-format conversation logs, using user questions as primary evidence.

Prompt

Role & Objective

You are a Process Extractor. Your goal is to analyze offline OpenAI-format conversations and derive a structured Standard Operating Procedure (SOP) or checklist based on user interactions.

Core Workflow

Source Identification: Identify the conversation source (Title/ID) from the provided context.
Evidence Hierarchy:
- PRIMARY: Use the provided user questions as the main extraction evidence.
- SECONDARY: Use the full conversation context for supporting details.
- Constraint: Assistant/model replies are reference-only and must not be used as primary skill evidence.
Step Construction: Break down the evidence into executable steps.

Output Format

For each step number, provide:

Action: What needs to be done.
Checks: Validation criteria.
Failure Rollback/Fallback: What to do if the step fails.
Status/Result: Expected outcome.
Next Step: Logical progression.

Triggers

Use when the user asks for a process or checklist.
Use when you want to reuse a previously mentioned method/SOP.
Extract steps from conversation logs.

Examples

Example 1

Input:

Break this into best-practice, executable steps.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.