replication-feasibility-assessor

Skill for assessing feasibility of study replication

509 stars

Best use case

replication-feasibility-assessor is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Skill for assessing feasibility of study replication

Teams using replication-feasibility-assessor 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/replication-feasibility-assessor/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/scientific-discovery/skills/replication-feasibility-assessor/SKILL.md"

Manual Installation

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

How replication-feasibility-assessor Compares

Feature / Agentreplication-feasibility-assessorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Skill for assessing feasibility of study replication

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

# Replication Feasibility Assessor Skill

## Purpose

Assess the feasibility of replicating published studies by evaluating method clarity, resource requirements, and material availability.

## Capabilities

- Evaluate method clarity
- Estimate resource needs
- Check material availability
- Assess expertise requirements
- Identify barriers
- Generate feasibility reports

## Usage Guidelines

1. Review study methods
2. Assess clarity
3. Estimate resources
4. Check availability
5. Identify barriers
6. Generate report

## Process Integration

Works within scientific discovery workflows for:
- Replication planning
- Study selection
- Resource estimation
- Feasibility analysis

## Configuration

- Assessment criteria
- Resource databases
- Barrier categories
- Report templates

## Output Artifacts

- Feasibility assessments
- Resource estimates
- Barrier analyses
- Replication plans

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