model / x_train / toolbox
General SOP for common requests related to model, x_train, toolbox.
npx skills add ECNU-ICALK/AutoSkill --skill model-x_train-toolbox --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.
# model / x_train / toolbox General SOP for common requests related to model, x_train, toolbox. ## Prompt Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>): 1) ac6f0a15230b7cb2503c71f28ddc0f83.json#conv_1 2) Use the user questions below as the PRIMARY extraction evidence 3) Use the full conversation below as SECONDARY context reference 4) In the full conversation section, assistant/model replies are reference-only and not skill evidence 5) Primary User Questions (main evidence 6) my friends want to know the Number of employees will be working by 7) the end of 8) the year. The exit status of an employee will depend on their credit Score, Geography 9) Gender, Age, tenure, balance, no of products, hascrcard, is an active member, estimated 10) salary 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 model / x_train / toolbox skill do?
General SOP for common requests related to model, x_train, toolbox.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill model-x_train-toolbox --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.