# model / x_train / toolbox

> General SOP for common requests related to model, x_train, toolbox.

- Skill: `ecnu-icalk/model-x-train-toolbox` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ecnu-icalk/model-x-train-toolbox`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ecnu-icalk/model-x-train-toolbox/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: ECNU-ICALK (https://skillmd.com/u/ecnu-icalk)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/ecnu-icalk/model-x-train-toolbox

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# 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.