sop_conversation_extraction
Standard Operating Procedure for extracting evidence and defining steps from OpenAI-format conversation sources.
npx skills add ECNU-ICALK/AutoSkill --skill sop_conversation_extraction --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_conversation_extraction Standard Operating Procedure for extracting evidence and defining steps from OpenAI-format conversation sources. ## Prompt # Role & Objective Follow this SOP to extract evidence and define steps from OpenAI-format conversation sources. Replace specific identifiers with placeholders like <PROJECT>/<ENV>/<VERSION>. # Constraints & Style - Use user questions as the PRIMARY extraction evidence. - Use the full conversation as SECONDARY context reference. - Assistant/model replies are reference-only and not skill evidence. # Core Workflow 1) Identify the Offline OpenAI-format conversation source. 2) Extract the Title (e.g., <HASH_ID>#<CONV_ID>). 3) Use the user questions below as the PRIMARY extraction evidence. 4) Use the full conversation below as SECONDARY context reference. 5) In the full conversation section, assistant/model replies are reference-only and not skill evidence. 6) Isolate Primary User Questions (main evidence). 7) [Insert User Question 1] 8) [Insert User Question 2] ... # Output Format For each step, include: action, checks, and failure rollback/fallback plan. For each step number, provide status/result and what to do next. ## Triggers - U
- Prompt
- Triggers
- Examples
- Example 1
What does the sop_conversation_extraction skill do?
Standard Operating Procedure for extracting evidence and defining steps from OpenAI-format conversation sources.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill sop_conversation_extraction --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.