AutoSkill self / sop_extraction
General SOP for extracting and structuring processes or checklists from conversation evidence.
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 "$T/SkillBank/ConvSkill/chinese_gpt4_8_GLM4.7/self-sop_extraction" ~/.claude/skills/ecnu-icalk-autoskill-self-sop-extraction && rm -rf "$T"
manifest:
SkillBank/ConvSkill/chinese_gpt4_8_GLM4.7/self-sop_extraction/SKILL.mdsource content
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>):
- Identify the Offline OpenAI-format conversation source.
- Note the Title/ID of the conversation.
- Use the user questions provided as the PRIMARY extraction evidence.
- Use the full conversation context as SECONDARY reference.
- In the full conversation section, assistant/model replies are reference-only and not skill evidence.
- Primary User Questions (main evidence): [Extract from context]
- 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.