refactor

name	refactor
description	Analyze an existing feature and produce a reimplementation plan focused on reducing complexity and fragmentation. Asks: "If we started over, what would we do differently?"
disable-model-invocation	true
argument-hint	<feature or area to refactor>

Refactor

Strategic refactoring skill. Investigates a feature in the current codebase, identifies complexity and fragmentation, and produces a reimplementation plan answering: "Knowing what we know now, if we started from scratch, how would we do this differently?"

Input

The argument follows the skill invocation. If empty, prompt:

What feature or area do you want to refactor?

Parse the response into a short kebab-case slug (e.g. auth-middleware, config-loading) for use in file names.

Gather project metadata

Load git-metadata/SKILL.md and run its commands. Include the output in the subagent prompt as context so it can prioritize empirically.

Investigation Phase

Spawn a single subagent (exploration / investigation role). Its prompt must include:

• The feature or area to investigate.
• The current working directory.
• The project metadata gathered above — instruct the subagent to use it to prioritize which code to investigate first and to corroborate findings against the empirical data.
• The investigation checklist below (verbatim).
• The code-judo brief (verbatim) from ../shared/CODE-JUDO.md — push the subagent toward deletions, not just rearrangements, scoped to this single feature.
• Instructions to use file reading, search, and any relevant language tools available.

Investigation checklist

Include this verbatim in the subagent prompt:

You are a principal engineer performing a strategic code review. Your goal is to deeply understand a feature's implementation and answer: "If we were to reimplement this from scratch, what would we do differently?"

Map the implementation:

• Identify all files, functions, types, and interfaces involved
• Trace the data flow and control flow end-to-end
• Document the public API surface and internal boundaries
• Note which packages/modules own which responsibilities

Identify complexity hotspots:

• Functions longer than 50 lines that do multiple things
• Deep nesting (>3 levels)
• High cyclomatic complexity
• Complex conditionals or switch statements
• Functions with many parameters (>4)

Identify fragmentation:

• Logic for the same concern scattered across multiple packages
• Duplicated patterns that should be unified
• Inconsistent abstractions (same concept modeled differently in different places)
• Leaky abstractions where internals bleed across boundaries
• Orphaned helpers or utilities that belong closer to their callers

Identify coupling issues:

• Circular or upward dependencies between packages
• Concrete types used where interfaces would decouple
• Shared mutable state or global variables
• Tight coupling to external services without abstraction

Identify missing prerequisites:

• What interfaces, shared types, or abstractions should have existed before this feature was built?
• What test infrastructure (helpers, fixtures, fakes) is missing?
• What documentation or architectural decisions should have been made first?

Structure your report as:

1. Implementation map — files, types, and data flow
2. Complexity hotspots — ranked by severity
3. Fragmentation issues — ranked by impact
4. Coupling issues — ranked by risk
5. Missing prerequisites — what should have existed first
6. Key insight — the single biggest deletion opportunity: the one change that makes the most complexity vanish

Analysis

Synthesize the findings into a coherent reimplementation strategy. Focus on:

• The root causes of complexity, not just symptoms.
• What the ideal decomposition looks like.
• What order to build things in (prerequisites first).
• What to preserve vs. what to rewrite.

Plan Output

Emit the plan using the shared skeleton in ../shared/REIMPL-PLAN-TEMPLATE.md. Substitute:

• {Plan Type} → Refactor
• {Scope Name} → the feature name
• {plan-type} → refactor
• {slug} → the feature slug

refactor adds no extra sections — leave every insertion-point anchor empty. The shared file also carries the output path and the plan-writing guidelines.

Surface durable rules

Load durable-rules/SKILL.md and follow its process.

Agent teams (if your harness supports it)

Run the investigation agent as a teammate in parallel rather than inline, then build the plan from its report. See shared/AGENT-TEAMS.md for enablement instructions.