# Standard release process

> General SOP for common requests related to self, data, torch.

- Skill: `ecnu-icalk/standard-release-process-12` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ecnu-icalk/standard-release-process-12`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ecnu-icalk/standard-release-process-12/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: ECNU-ICALK (https://skillmd.com/u/ecnu-icalk)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/ecnu-icalk/standard-release-process-12

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# Standard release process

General SOP for common requests related to self, data, torch.

## Prompt

Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>):
1) e79c44f12bdea7611a4ee0935e566f8b.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) could you expand on the below and what insights do they say
7) From gunning_fog index, scores of gpt-fine tuned < scores of gpt-non fine tuned
8) From coleman liau index, scores of gpt-fine tuned < scores of gpt-non fine tuned
9) From flesh_kinciad index, scores of gpt-fine tuned < scores of gpt-non fine tuned
10) From automated_readbality index, scores of gpt-fine tuned < scores of gpt-non fine tuned

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.

