com um clique
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// Find and fix technical debt including duplicated code, dead code, outdated patterns, and code smells.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.
// Find and fix technical debt including duplicated code, dead code, outdated patterns, and code smells. Run at the end of sessions to clean up.
Simplify and clean up code after changes are complete. Reduces complexity, improves readability, and ensures consistency.
Commit changes, push to remote, and create a pull request. Use for completing features or fixes ready for review.
Implements the Spec-Driven Development lifecycle (Intent, Requirements, Design, Tasks, Build) for structured feature development. Use when the user wants to scaffold a new feature spec, generate EARS requirements, create a technical design, break work into tasks, or check spec status. Trigger on keywords: sdd, spec-driven, ears requirements, feature spec.
Run IV, DiD, and RDD analyses in R with proper diagnostics
Build and solve Walrasian general equilibrium models with theory derivations and Julia computation
Panel data analysis with Python using linearmodels and pandas.
| name | techdebt |
| description | Find and fix technical debt including duplicated code, dead code, outdated patterns, and code smells. Run at the end of sessions to clean up. |
| workflow_stage | engineering |
| compatibility | ["claude-code","cursor","codex","gemini-cli"] |
| author | Awesome Econ AI Community |
| version | 1.0.0 |
| disable-model-invocation | true |
| tags | ["refactoring","code-quality","maintenance"] |
Identify and fix technical debt in the codebase.
typing.List instead of listScan the Codebase
Report Findings
Fix Issues
Verify
ruff check .pytestOptionally specify a directory or file to focus on.
Usage:
/techdebt - Scan entire project/techdebt src/ - Scan specific directory/techdebt src/utils.py - Scan specific fileProvide a summary of: