---

name: tech-debt description: Sweep the codebase for tech debt and return a prioritized markdown task list of findings.

Tech Debt Skill

Use this skill when asked to find tech debt, stale patterns, or maintenance issues in a codebase.

The user may scope the sweep to specific directories or modules (e.g., "sweep crates/agentty/src/app"). When a scope is given, restrict traversal to those paths. When no scope is given, sweep the full codebase.

Workflow

1. Read Project Context

   • Read the root AGENTS.md for project conventions, architecture references, and style rules.
   • Identify which directories and modules are relevant to the sweep (respecting any user-provided scope).

2. Traverse Target Directories

   • Navigate into each target directory and read the nearest available AGENTS.md for local conventions, entry points, and change guidance.
   • Use the architecture docs and module routers to prioritize which files and modules to inspect when no deeper local guide exists.

3. Analyze for Tech Debt

   • TODOs and FIXMEs: Find TODO, FIXME, HACK, and XXX comments that indicate deferred work.
   • Outdated Patterns: Identify deprecated API usage, legacy code paths retained without justification, and patterns that conflict with current project conventions.
   • Inconsistent Error Handling: Flag mixed error handling strategies (e.g., unwrap() alongside proper Result propagation), swallowed errors, and missing error context.
   • Missing Documentation: Note public types, traits, and functions lacking doc comments, especially in areas with complex logic.
   • Stale Dependencies: Look for pinned dependency versions that lag behind current releases, unused dependencies, or feature flags that are no longer needed.
   • Dead Code: Identify unused functions, modules, imports, or feature gates that can be removed.
   • Test Gaps: Flag critical logic paths that lack test coverage or tests that are marked #[ignore].
   • Convention Violations: Check code against the project conventions discovered in Step 1 (e.g., naming rules, module layout, import style, constructor patterns) and flag deviations.

4. Return Findings as a Task List

   • Structure your answer as a prioritized markdown task list.
   • Use the format below for each finding.

Task List Format

# Tech Debt Report

## Summary
[Brief overview: total finding count, highest-risk area, and overall codebase health impression.]

## Critical
- [ ] **[Title]** — `[file/module scope]`
  [Description of the issue and why it is critical.]

## High
- [ ] **[Title]** — `[file/module scope]`
  [Description of the issue and recommended action.]

## Medium
- [ ] **[Title]** — `[file/module scope]`
  [Description of the issue and recommended action.]

## Low
- [ ] **[Title]** — `[file/module scope]`
  [Description of the issue and recommended action.]

Priority Guidelines

Priority	Criteria
Critical	Causes runtime failures, data loss, or blocks other work.
High	Significant maintenance burden, outdated patterns actively causing confusion, or missing error handling in critical paths.
Medium	Style inconsistencies, missing documentation, minor dead code, or deferred TODOs with clear scope.
Low	Cosmetic issues, minor naming improvements, or optional cleanup with no immediate impact.