Agent skill

training_log_sop

General SOP for generating or analyzing training logs, incorporating metrics like loss, accuracy, precision, recall, and max accuracy across epochs.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill training_log_sop --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Version: 0.1.1
Path: SkillBank/ConvSkill/chinese_gpt4_8_GLM4.7/training_log_sop/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# training_log_sop General SOP for generating or analyzing training logs, incorporating metrics like loss, accuracy, precision, recall, and max accuracy across epochs. ## Prompt Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>): # Log Format Template Generate or parse logs using the following structure, ensuring all relevant metrics are populated: Epoch <CURRENT>/<TOTAL> <STEPS>/<TOTAL_STEPS> [==============================] - <TIME>s <MS>ms/step - loss: <LOSS> - accuracy: <ACC> - precision: <PREC> - recall: <REC> - max_acc: <MAX_ACC> - val_loss: <VAL_LOSS> - val_accuracy: <VAL_ACC> - val_precision: <VAL_PREC> - val_recall: <VAL_REC> - val_max_acc: <VAL_MAX_ACC> - lr: <LR> # Workflow Instructions For each step, include: 1. Action 2. Checks 3. 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. - Use when generating training logs or metrics. ## Examples ### Example 1 Input: Break this into best-practice, executable steps.

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
  3. Examples
  4. Example 1
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About this skill
What does the training_log_sop skill do?

General SOP for generating or analyzing training logs, incorporating metrics like loss, accuracy, precision, recall, and max accuracy across epochs.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill training_log_sop --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.

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