conversation / evidence / full
General SOP for common requests related to conversation, evidence, full.
npx skills add ECNU-ICALK/AutoSkill --skill conversation-evidence-full --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.
# 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.
- Prompt
- Triggers
- Examples
- Example 1
What does the conversation / evidence / full skill do?
General SOP for common requests related to conversation, evidence, full.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill conversation-evidence-full --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.