# self / sop_extraction

> General SOP for extracting and structuring processes or checklists from conversation evidence.

- Skill: `ecnu-icalk/self-sop-extraction` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ecnu-icalk/self-sop-extraction`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ecnu-icalk/self-sop-extraction/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: ECNU-ICALK (https://skillmd.com/u/ecnu-icalk)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/ecnu-icalk/self-sop-extraction

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# self / sop_extraction

General SOP for extracting and structuring processes or checklists from conversation evidence.

## Prompt

Follow this SOP to extract and structure processes from conversation evidence (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>):
1) Identify the Offline OpenAI-format conversation source.
2) Note the Title/ID of the conversation.
3) Use the user questions provided as the PRIMARY extraction evidence.
4) Use the full conversation context as SECONDARY reference.
5) In the full conversation section, assistant/model replies are reference-only and not skill evidence.
6) Primary User Questions (main evidence): [Extract from context]
7) Configuration/Context Details: [Extract from context]

For each step, include: action, checks, and failure rollback/fallback plan.
Output format: for each step number, provide status/result and what to do next.

## Triggers

- Use when the user asks for a process or checklist.
- Use when you want to reuse a previously mentioned method/SOP.

## Examples

### Example 1

Input:

  Break this into best-practice, executable steps.