statistical-reporting-formatter

Skill for formatting statistical results according to reporting standards

509 stars

Best use case

statistical-reporting-formatter is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Skill for formatting statistical results according to reporting standards

Teams using statistical-reporting-formatter should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/statistical-reporting-formatter/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/scientific-discovery/skills/statistical-reporting-formatter/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/statistical-reporting-formatter/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How statistical-reporting-formatter Compares

Feature / Agentstatistical-reporting-formatterStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Skill for formatting statistical results according to reporting standards

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Statistical Reporting Formatter Skill

## Purpose

Format statistical results according to APA, journal, and discipline-specific reporting standards for publication.

## Capabilities

- Format test results
- Apply APA style
- Generate tables
- Report effect sizes
- Include confidence intervals
- Check completeness

## Usage Guidelines

1. Input statistical output
2. Select reporting standard
3. Format results
4. Generate tables
5. Review completeness
6. Export formatted text

## Process Integration

Works within scientific discovery workflows for:
- Results reporting
- Manuscript preparation
- Table generation
- Compliance checking

## Configuration

- Reporting standards
- Decimal precision
- Table formats
- Output styles

## Output Artifacts

- Formatted statistics
- Publication tables
- In-text citations
- Compliance reports

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