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Standard release process 6

Skill ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt4_8_GLM4.7/standard-release-process-6

AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution

Install
npx -y skills add ECNU-ICALK/AutoSkill --skill standard-release-process-6

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

SKILL.md

1.7 KB, as published. Nobody here has run it

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.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.