team-tech-debt

Scan, quantify, plan, execute, and validate technical debt across a repository.

1|Updated May 12, 2026
One-click install
npx skills add https://github.com/tcytan/tecton --skill team-tech-debt-tcytan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team-tech-debt
Source: https://github.com/tcytan/tecton/tree/main/.claude/skills/team-tech-debt
Command: npx skills add https://github.com/tcytan/tecton --skill team-tech-debt-tcytan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps teams systematically discover, quantify, plan, remediate, and validate technical debt so the codebase improves without regressions.

Core Features & Use Cases

  • Unified Scan → Assess → Plan → Fix → Validate: Runs an end-to-end tech debt governance pipeline with clear stage outputs and a final validation gate.
  • Team-worker orchestration by roles: Uses a coordinator to route work to domain-specific workers (scanner, assessor, planner, executor, validator).
  • Worktree-based incremental remediation with regression governance: Executes changes in an isolated git worktree, then runs tests/type/lint and performs Fix-Verify loops (up to 3 rounds) when regressions appear.
  • Use Case: For a Rust/modern codebase in active development, identify debt across code/architecture/testing/dependencies/documentation, generate a prioritized remediation plan, apply fixes, and verify with automated checks before the PR.

Quick Start

Run the tech-debt pipeline in full remediation mode by invoking the skill with: Skill(skill="team-tech-debt", args="--mode=remediate Describe the tech debt goals and scope you want to improve").

Frequently Asked Questions about team-tech-debt

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify and fix technical debt in a codebase without causing regressions?

Technical debt remediation uses a scan, assess, plan, execute, and validate workflow to identify and fix debt safely. It executes changes in an isolated git worktree and runs automated tests, type checks, and linting to prevent regressions before merging.

What is the best way to audit codebase technical debt across architecture and dependencies?

A codebase audit identifies technical debt across code, architecture, testing, dependencies, and documentation. Running a scan-only governance mode generates a prioritized assessment of debt categories without applying any fixes to the repository.

How does worktree-based isolation work for incremental codebase refactoring?

Worktree-based isolation executes repository refactoring in a separate git worktree to keep the main branch stable. It performs Fix-Verify iterations capped at three rounds, running validation checks and rolling back changes if regressions appear.

Can I use automated regression testing to validate targeted tech debt fixes?

Yes, targeted fix planning uses automated regression testing to validate specific technical debt fixes. A validation gate runs tests, type checks, and linting after execution, performing up to three Fix-Verify loops to ensure codebase stability.

Does tech debt remediation require a coordinator-worker orchestration design?

Tech debt remediation requires a coordinator-worker orchestration design to route tasks effectively. The coordinator delegates work to domain-specific workers including a scanner, assessor, planner, executor, and validator across the pipeline stages.

What are the limitations of automated tech debt governance for active repositories?

Automated tech debt governance limits Fix-Verify rollback iterations to a maximum of three rounds when regressions appear. If validation fails after three attempts, the pipeline stops to prevent further instability in the active codebase.