Agent skill

section-statistics

生成统计分析方法类教程 (.rmd/.qmd),确保理论背景、模型假设、完整分析流程与结果解释并重。

majiayu000534★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill section-statistics --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/analysis/section-statistics/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

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

From the SKILL.md

--- name: section-statistics description: Generate comprehensive R statistical method tutorials (regression, survival analysis, causal inference, Bayesian stats) with theory + practice workflow. Use when: (1) User requests statistical method tutorials, (2) File names match 10xx-*.rmd pattern, (3) Keywords: PSM, Cox, Meta-analysis, RCS, multilevel models, SEM, PCA, LCA. --- ## 核心任务 生成统计分析方法类教程 (.rmd/.qmd),确保理论背景、模型假设、完整分析流程与结果解释并重。 ## 快速启动 (Quick Start) 1. **确定方法**: 如 "泊松回归 (Poisson Regression)"。 2. **加载模板**: 阅读 [content-structure.md](references/content-structure.md) 获取 YAML 和标题结构。 3. **生成内容**: 遵循 "通俗解释 -> 理论 -> 代码 -> 解读" 流程。 4. **视觉设计**: 参考 [visual-templates.md](references/visual-templates.md) 生成封面图和原理示意图。 5. **质量检查**: 使用 [quality-checklist.md](references/quality-checklist.md) 验证导航更新。 ## 完整工作流程 ### 步骤0: 文件编号分配 (CRITICAL - 避免重复) **在创建任何文件前,必须先确定可用编号!** 1. **检查现有编号**: ```bash ls doc/10*.rmd doc/10*.qmd | sort | tail -20 ``` 2. **选择下一个可用编号**: - 找到当前最大编号 (如 1099) - 新文件使用下一个编号 (如 1100,上一个编号+1) - **绝对禁止**: 使用已存在的编号! 3. **编号冲突检测**: ```bash # 检查是否有重复编号 ls doc/10*.rmd doc/10*.qmd | sed 's/.*\///;s/-.*//' | sort | uniq -d # 如果有输出,说明存在重复编号,必须先解决 ``` 4. **命名规范**: - 格式: `10[number]-[topic].rmd`

What's inside
Steps it walks through
  1. 核心任务
  2. 快速启动 (Quick Start)
  3. 完整工作流程
  4. 步骤0: 文件编号分配 (CRITICAL - 避免重复)
  5. 步骤1: 逐部分生成教程内容(CRITICAL - 分段生成策略)
  6. 步骤1.5: 生成配图并在文章中引用(CRITICAL)
  7. 步骤2: 验证渲染 (CRITICAL)
  8. 步骤3: 更新导航系统 (CRITICAL)
  9. 步骤4: 最终渲染与提交
  10. 写作规范
  11. 代码块与表格格式规范 (CRITICAL)
  12. 图片居中 (MANDATORY)
  13. 表格字体大小 (MANDATORY)
  14. 参考资源
Ships with 1 file
  • metadata.json
Commands it runs
ls doc/10*.rmd doc/10*.qmd | sort | tail -20
ls doc/10*.rmd doc/10*.qmd | sed 's/.*\///;s/-.*//' | sort | uniq -d
grep "!\[.*\](images/diagrams/" doc/[number]-[topic].rmd
quarto render doc/10[number]-[topic].rmd
quarto render doc/sections/statistics.qmd
quarto render doc/index.qmd
git add doc/10xx-*.rmd doc/images/[topic]-cover.svg
git add doc/_quarto.yml doc/0001-guide.rmd README.md doc/sections/statistics.qmd
git commit -m "feat(stat): 新增[方法名称]统计教程"
More from claude-skill-registry
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About this skill
What does the section-statistics skill do?

生成统计分析方法类教程 (.rmd/.qmd),确保理论背景、模型假设、完整分析流程与结果解释并重。

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill section-statistics --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 majiayu000/claude-skill-registry, a repository with 534 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.

Keep going