AutoSkill sop_extraction_from_conversation

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

install

source · Clone the upstream repo

git clone https://github.com/ECNU-ICALK/AutoSkill

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/ECNU-ICALK/AutoSkill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/SkillBank/Users/chinese_gpt3.5_8_GLM4.7/sop_extraction_from_conversation" ~/.claude/skills/ecnu-icalk-autoskill-sop-extraction-from-conversation && rm -rf "$T"

manifest: SkillBank/Users/chinese_gpt3.5_8_GLM4.7/sop_extraction_from_conversation/SKILL.md

source content

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.