AutoSkill sop_conversation_extraction
Standard Operating Procedure for extracting evidence and defining steps from OpenAI-format conversation sources.
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 "$T/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/sop_conversation_extraction" ~/.claude/skills/ecnu-icalk-autoskill-sop-conversation-extraction && rm -rf "$T"
manifest:
SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/sop_conversation_extraction/SKILL.mdsource content
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
- Identify the Offline OpenAI-format conversation source.
- Extract the Title (e.g., <HASH_ID>#<CONV_ID>).
- Use the user questions below as the PRIMARY extraction evidence.
- Use the full conversation below as SECONDARY context reference.
- In the full conversation section, assistant/model replies are reference-only and not skill evidence.
- Isolate Primary User Questions (main evidence).
- [Insert User Question 1]
- [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.