sop_extraction_from_conversation
Extracts structured SOPs or checklists from offline OpenAI-format conversation logs, using user questions as primary evidence.
npx skills add ECNU-ICALK/AutoSkill --skill sop_extraction_from_conversation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 1. **Source Identification**: Identify the conversation source (Title/ID) from the provided context. 2. **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. 3. **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
- Prompt
- Triggers
- Examples
- Example 1
What does the sop_extraction_from_conversation skill do?
Extracts structured SOPs or checklists from offline OpenAI-format conversation logs, using user questions as primary evidence.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill sop_extraction_from_conversation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.