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Zero tech debt

Skill jeremylongshore/claude-code-plugins-plus-skills/skills/.curated/zero-tech-debt

425 plugins, 2,810 skills, 200 agents for Claude Code. Open-source marketplace at tonsofskills.com with the ccpi CLI package manager.

Install
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill zero-tech-debt

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What its author says it does

Copied from the file, not written here

Rebuild a feature as if the correct product architecture existed from day one — remove compatibility cruft, dead abstractions, and historical compromises instead of preserving them. Use when the operator says "refactor properly," "clean up," "rewrite," "modernize," "remove legacy," "simplify," "rethink," "pay down tech debt," or signals frustration with accumulated complexity. Do NOT use for hotfixes, bug repros, surgical patches, or security backports — blast-radius minimization wins there. Trigger with "/zero-tech-debt", "do it right this time", "the way it should have been built", "refactor toward intent".

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

4.1 KB, as published. Nobody here has run it

Zero Tech Debt

Build toward the intended product shape — not the historical sequence of patches, migrations, wrappers, aliases, and temporary decisions that created the current implementation.

The goal is not "minimal diff." The goal is a cleaner, more coherent system with fewer moving parts, fewer hidden assumptions, and lower long-term operational cost.

Core Principle

Treat the current implementation as evidence, not authority.

Preserve only the parts that still serve the intended architecture, UX, reliability model, and operational constraints. Everything else is eligible for deletion.

Operating Mode (read this section every invocation)

  1. Confirm scopeRead references/01-when-to-use.md. If the request smells like a hotfix, security backport, or time-boxed patch, stop and recommend a targeted change instead.
  2. Pre-flight — walk references/02-preflight-checklist.md. Every box must be checked before touching code. Tests, callers, rollback path, single-paragraph end-state description, no in-flight migration, telemetry accounted for. Use Glob to locate test files and Grep / Bash(rg:*) to enumerate external callers of the surface being changed.
  3. Run the 7-step workflowreferences/03-workflow.md. Define end state → audit reality → delete before adding → optimize around final shape → collapse duplicate decision logic → remove historical leakage → validate.
  4. Use the audit patternsreferences/04-audit-patterns.md lists the concrete Grep / Bash(rg:*) / Bash(fd:*) targets (TODO/DEPRECATED markers, _v2/_old suffixes, stale feature flags, dual-mode forks, etc.). Each match is a candidate, not an automatic deletion.
  5. Apply decision filters when choices tiereferences/05-decision-filters.md covers tiebreakers and named anti-patterns to avoid.
  6. Apply edits with Edit — once a deletion / rename / consolidation is approved, use Edit to apply the change atomically. Stage with Bash(git:*) so the operator can review per commit before push.
  7. Report back in shape-change termsreferences/06-outcomes-and-reporting.md. The diff lists every line; the summary makes the architectural delta legible.

Scope Discipline (this is the most common failure mode)

A zero-tech-debt refactor will tempt unbounded scope. Hold the line:

  • One coherent end state per refactor — not three loosely related ones
  • If deletion reveals deeper rot, document it and stop; do not chain refactors mid-flight
  • Resist "while I'm here" additions unrelated to the deletion path
  • New features wait for a separate change
  • If the work cannot fit in a single reviewable unit, split along ownership boundaries — never along file counts

Final Rule

Do not optimize for preserving the past.

Optimize for making the next 2 years of development simpler.


See references/ for the full methodology — each file is a single concern, loadable on demand.

Keep looking

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