SY

syllabus-gap-scan

Analyzes research syllabi to find and prioritize new experiment additions.

Install

mkdir -p .claude/skills/syllabus-gap-scan && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/13073" && unzip -o skill.zip -d .claude/skills/syllabus-gap-scan && rm skill.zip

Installs to .claude/skills/syllabus-gap-scan

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Review behavioral and experimental economics syllabi to identify missing oTree classroom experiments and prioritize additions.
126 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Read the current experiment catalog
  • Map topics to common behavioral and experimental economics syllabi
  • Identify repeated gaps across different sources
  • Rank potential additions by teaching payoff
  • Rank potential additions by implementation cost
  • Write results to docs/research/syllabus-gap-scan.md and backlog files

How it works

The skill reads existing experiments, maps them to syllabi, identifies gaps, and ranks potential additions based on teaching value and cost.

Inputs & outputs

You give it
Current experiment catalog and behavioral/experimental economics syllabi
You get back
A syllabus-gap-scan.md file with source list, topic coverage map, missing topics, and prioritized new-app suggestions

When to use syllabus-gap-scan

  • Find new experiments
  • Map syllabus topics
  • Prioritize research backlog

About this skill

Syllabus Gap Scan

Use this skill when deciding which new experiments to add.

Workflow

  1. Read the current experiment catalog.
  2. Map topics to common behavioral and experimental economics syllabi.
  3. Identify repeated gaps across sources.
  4. Rank additions by teaching payoff and implementation cost.
  5. Write the result to docs/research/syllabus-gap-scan.md and the backlog files.

Output

  • Source list.
  • Topic coverage map.
  • Missing topics.
  • Prioritized new-app suggestions.
  • Notes on anything that is an inference rather than a direct source statement.

Keep In Mind

  • Prefer recurring syllabus topics over niche extras.
  • Favor classroom-friendly mechanics.
  • Make assumptions explicit when evidence is indirect.

When not to use it

  • When prioritizing niche extras over recurring syllabus topics
  • When favoring complex mechanics over classroom-friendly ones
  • When making assumptions without explicitly stating them

Limitations

  • Prefer recurring syllabus topics over niche extras.
  • Favor classroom-friendly mechanics.
  • Make assumptions explicit when evidence is indirect.

How it compares

This workflow systematically identifies and prioritizes missing oTree classroom experiments by analyzing syllabi, which is more structured than an ad-hoc approach.

Compared to similar skills

syllabus-gap-scan side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
syllabus-gap-scan (this skill)04moNo flagsIntermediate
annas-archive-ebooks227moReviewBeginner
scientific-critical-thinking187moReviewAdvanced
scholar-evaluation42moReviewIntermediate

Try saying

Example prompts that trigger this skill in your AI assistant.

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