Agent skill · Code Review & Quality

techdebt

Find and fix technical debt including duplicated code, dead code, outdated patterns, and code smells. Run at the end of sessions to clean up.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill techdebt --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 2 KB
Bundled scripts: none
Version: 1.0.0
Declared author: Awesome Econ AI Community
Requires: - claude-code - cursor - codex - gemini-cli
Path: skills/09-meleantonio-awesome-econ-ai-stuff/_skills/engineering/techdebt/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

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

From the SKILL.md

# Technical Debt Finder Identify and fix technical debt in the codebase. ## What to Look For ### Code Duplication - Functions with similar logic that could be consolidated - Copy-pasted code blocks - Repeated patterns that should be abstracted ### Dead Code - Unused imports - Unused functions or classes - Commented-out code blocks - Unreachable code paths ### Outdated Patterns - Deprecated API usa

More from Auto-Empirical-Research-Skills
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About this skill
What does the techdebt skill do?

Find and fix technical debt including duplicated code, dead code, outdated patterns, and code smells. Run at the end of sessions to clean up.

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill techdebt --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 brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 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