Score optimizer
Skill xiaomoBoy/claude-writing-skills/skills/score-optimizer
A toolkit of Claude Code skills for long-form content creators: research, score, rewrite, and publish.
npx -y skills add xiaomoBoy/claude-writing-skills --skill score-optimizerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Use when the user wants to iterate on a viral-article scoring system itself, calibrate or improve a scoring prompt against labeled samples, or run batch scoring experiments on a fixed article set. Best for prompt-only scoring research where the evaluator scripts stay fixed and only the scoring rubric/prompt is meant to evolve.
SKILL.md
2.7 KB, as published. Nobody here has run it
Score Optimizer
这个 skill 只负责一件事：优化文章评分系统本身。
它适合做的是：
- 调整文章爆款评分 Prompt
- 批量给样本文集打分
- 对照标注数据评估评分准确度
- 研究评分维度、权重、few-shot 示例是否更合理
它不负责：
- 直接改文章正文
- 平台改写
- 发布包装
Working Scope
适用场景：
- 用户说“优化文章评分 prompt”
- 用户说“让这个爆款评分系统更准”
- 用户说“跑一轮样本文集评分实验”
- 用户说“校准 viral score / composite score 的打分规则”
不适用场景：
- 用户说“直接把这篇文章改高分”
- 用户说“按这个评分器去优化文章内容”
后者应改用 article-optimizer。
Required Reads
开始前先读：
需要看实现时再读：
样本文集位置（用户自己提供，本 skill 不带样本）：
assets/articles/samples/—— 把你自己标注过的 .md 文章放进来,然后cp labels.example.json labels.json填上你的评分。详见 assets/articles/samples/README.md
Workflow
- 先确认当前任务是在优化评分器，不是在改文章。
- 读取
references/score_program.md，按它的实验约束执行。 - 默认只改
references/score_prompt.md，不要动评估脚本。 - 运行批量评分脚本，再运行评估脚本。
- 比较
composite_score、mae、spearman、classification。 - 记录结果，决定保留还是回滚。
Commands
在 skill 根目录执行：
python3 scripts/run_scoring.py > scoring.log 2>&1
python3 scripts/evaluate.py > eval.log 2>&1
grep "^composite_score:\|^mae:\|^spearman:\|^classification:" eval.log
如果需要图表：
python3 scripts/generate_score_chart.py
Guardrails
- 默认不要改
scripts/evaluate.py - 默认不要改
scripts/run_scoring.py - 默认不要安装新依赖
- 如果只是想提高某一篇文章分数，不要用这个 skill