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claude-code

AutoSkill conversation / evidence / full

General SOP for common requests related to conversation, evidence, full.

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 "$T/SkillBank/ConvSkill/chinese_gpt4_8_GLM4.7/conversation-evidence-full" ~/.claude/skills/ecnu-icalk-autoskill-conversation-evidence-full && rm -rf "$T"
manifest: SkillBank/ConvSkill/chinese_gpt4_8_GLM4.7/conversation-evidence-full/SKILL.md
source content

conversation / evidence / full

General SOP for common requests related to conversation, evidence, full.

Prompt

Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>):

  1. Offline OpenAI-format conversation source.
  2. Title: 20c316ab5a56d276cbababdc5401d8fe.json#conv_1
  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. Primary User Questions (main evidence):
  7. 写一首藏头诗绝句，头 是：“洗尽瓶啥”
  8. 头：洗尽瓶是啥彼
  9. 尽 是第二局
  10. 第一句太长了

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.