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Sop conversation extraction

Skill ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/sop_conversation_extraction

AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution

Install
npx -y skills add ECNU-ICALK/AutoSkill --skill sop_conversation_extraction

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Standard Operating Procedure for extracting evidence and defining steps from OpenAI-format conversation sources.

SKILL.md

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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

  • 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.

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