Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Cpa Tables Figures

ASecurity

Use when finalizing exhibits for a 《中国行政管理》 manuscript — regression tables, survey measurement tables, qualitative coding tables, and process / mechanism diagrams. Enforces three-line table style, coding-table conventions, and figure discipline.

1,052 stars
0 votes
0 copies
0 views
Added 6/4/2026
ai-agentsgit

Security Analysis

A100/100

Scanned 6/4/2026

Install to Claude Code

$npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill cpa-tables-figures --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Cpa Tables Figures?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Cpa Tables Figures
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/brycewang-stanford-cpa-tables-figures/badge)](https://www.skillsdirectory.com/skills/brycewang-stanford-cpa-tables-figures)

More formats (shields.io, HTML) on the badges page.

Download with Pro
Files
SKILL.md
---
name: cpa-tables-figures
description: Use when finalizing exhibits for a 《中国行政管理》 manuscript — regression tables, survey measurement tables, qualitative coding tables, and process / mechanism diagrams. Enforces three-line table style, coding-table conventions, and figure discipline.
---

# 表格与图形(cpa-tables-figures)

## 触发时机

- 主回归表 8 列以上,信息密度过高
- 问卷研究缺测量 / 信效度表
- 案例研究缺资料来源表与编码表
- 机制 / 政策过程用文字硬描述,缺一张过程图
- 表格用了边框 / 阴影 / 颜色,不符合规范

## 定量表格规范(三线表 / booktabs)

### 必备结构

```
表 3  数字化考核对基层形式主义负担的影响
═══════════════════════════════════════════
                  (1)      (2)      (3)
变量             负担     负担     负担
───────────────────────────────────────────
数字化考核    0.118***  0.094***  0.087***
              (0.031)   (0.029)   (0.030)
              ......
───────────────────────────────────────────
控制变量          否       是       是
地区固定效应       是       是       是
年份固定效应       是       是       是
观测值           2,431    2,431    2,431
R²               0.184    0.226    0.231
═══════════════════════════════════════════
注:括号内为聚类于地级市层面的稳健标准误;***、**、* 分别表示 1%、5%、10% 显著水平。
```

### 严守约束

- **不超过 6 列**(极端 7 列,绝不 8 列)
- **三线表**:顶线粗、中线细、底线粗,无竖线
- 显著性标记 `*** ** *` 统一三档;标准误在系数下方括号内,不要用 t / z 值
- 控制变量 / 固定效应行写"是 / 否"
- 表号 + 表名在表上方,注释在表下方;注释必含聚类层次、显著性符号定义

## 变量定义 / 测量表

定量主表之前必须有变量定义表(问卷研究还需测量条目与信效度):

| 变量类型 | 变量名称 | 变量定义 / 测量 | 数据来源 |
|----------|----------|----------------|----------|
| 被解释变量 | burden | 基层形式主义负担(5 题李克特量表,α=0.86) | 问卷 |
| 核心解释变量 | digital_kpi | 数字化考核强度(政务 App 数量对数) | 政务平台 |
| 控制变量 | fiscal | 地方财政自给率 | 财政决算 |

约束:
- 每个变量**有且仅有一行**定义,不在正文重复定义
- 给出**计算 / 测量方式**(不是描述);数据来源**点名**到数据库 / 资料,不写"公开渠道"
- 问卷类报告信度(α)与效度(CFA / 收敛—区分)

## 定性资料表与编码表

案例 / 扎根研究**必须**有两张表:

### 资料来源表(建立证据链)

| 资料编号 | 资料类型 | 来源 / 对象 | 数量 / 时长 | 用途 |
|---------|---------|------------|------------|------|
| D-01 | 政策文件 | XX 市实施方案 | 12 份 | 制度背景、政策过程 |
| I-03 | 半结构访谈 | 街道办主任 | 5 人次 / 6.5 h | 执行逻辑 |
| O-02 | 实地观察 | 政务大厅 | 3 次 | 服务互动 |

### 编码表(扎根 / 内容分析)

| 一级编码(选择性) | 二级编码(主轴) | 三级编码(开放) | 典型原始语句(编号) |
|------------------|----------------|----------------|--------------------|
| 注意力挤占 | 中心工作优先 | "App 打卡占用入户时间" | I-03、I-05 |

## 图形规范

- 字体:宋体 / Times New Roman 9–11 pt;颜色:黑白 + 1–2 主色(深蓝 / 暗红);分辨率 ≥ 300 dpi
- 图号 + 图名在**图下方**;注释含数据来源 + 关键定义
- 常见图类:
  1. **机制 / 政策过程图**(公共管理稿件常见,将"处理→机制→结果"或政策过程可视化)
  2. **平行趋势事件研究图**(含 95% CI)
  3. **案例时间线 / 过程图**
  4. **分析框架图**(理论框架可视化)
  5. **异质性森林图**

## 必查清单

- [ ] 定量主表 ≤ 6 列、三线表、无竖线、标准误格式统一、注释含聚类层次
- [ ] 变量 / 测量表完整;问卷类有信效度
- [ ] 定性研究有资料来源表 + 编码表,证据链可追溯
- [ ] 有机制 / 过程图或分析框架图(如适用)
- [ ] 图形 ≥ 300 dpi、编号连续、正文引用与图表编号对应

## 反模式

- 表里塞 R² + 调整 R² + 伪 R² + AIC + BIC …… —— 选 1–2 个
- 一张图叠 5 条曲线 + 5 种线型 + 5 种颜色
- 直接截图 Stata / SPSS / NVivo 输出贴进 Word
- 案例研究只有叙事、没有任何资料 / 编码表(审稿人无法核查证据链)

## 输出格式

```
【定量主表列数】X 列(如适用)
【三线表合规】是 / 否
【测量 / 信效度表】有 / 无 / 不适用
【定性资料表 + 编码表】有 / 无 / 不适用
【机制 / 框架图】有 / 无
【图形 DPI】X
【缺漏注释】[...]
【下一步】cpa-policy-implication
```

Attribution

brycewang-stanfordbrycewang-stanford
View sourceMore from brycewang-stanford →
SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1074701 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

693161 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

691 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →