Agent skill

Refactor

by codeaholicguy in codeaholicguy/ai-devkit

AI DevKit · Systematic structural or multi-file refactors across any stack while preserving behavior and public contracts.

Apache-2.0Auto-check passedDevelopment

Install Refactor

skills CLI
$ npx skills add codeaholicguy/ai-devkit --skill refactor -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install codeaholicguy/ai-devkit refactor --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/codeaholicguy/ai-devkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/refactor .claude/skills/refactor && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
refactor
GitHub stars
1.6k
Token cost
~868 tokens
SKILL.md length
383 words
Files
2
Skills in repo
28
Repo updated
First seen
Licence
Apache-2.0

At a glance

AI DevKit · Systematic structural or multi-file refactors across any stack while preserving behavior and public contracts.

  • Works in 12 steps: Discover stack, configs, entry points,… → Map contracts: exports, APIs, routes,… → Map structure: directories, naming,… → …
  • Reorganizing modules
  • SKILL.md covers Rules, Workflow and Stop
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Refactor is an agent skill from codeaholicguy/ai-devkit. AI DevKit · Systematic structural or multi-file refactors across any stack while preserving behavior and public contracts. Use for reorganizing modules, boundaries, naming, APIs/contracts, staged refactor plans, or refactor risk review.

Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Development, covering Refactoring. The repository describes itself as: The control plane for AI coding agents. The licence is Apache-2.0.

When your agent uses it

  • Reorganizing modules
  • Staged refactor plans
  • Refactor risk review

Example prompts

  • “/refactor”

Workflow steps

12 steps, taken from the first numbered list in SKILL.md.

  1. Discover stack, configs, entry points, exact validation commands, and prior decisions when available.
  2. Map contracts: exports, APIs, routes, CLI, config, schemas, events, files, docs, examples, consumers.
  3. Map structure: directories, naming, boundaries, dependency direction, cycles, mixed concerns, duplication.
  4. Check reader load: can a new reader find where key state comes from and what can change it quickly? Collapse pass-through layers that do…
  5. If continuing work, compare current state and list only remaining delta.
  6. Choose refactor type and shape
  7. Check boundary discipline: validate at CLI/config/network/external API edges; keep internal logic typed, domain-shaped, and pure where…
  8. Prefer domain structure over repeated conditionals: state machine, typed model, registry/map, reducer, or ownership-focused module when it…
  9. Rank moves as do now, defer, or avoid.
  10. Stage: baseline -> delete dead paths -> move/rename -> imports/call sites -> split/merge -> simplify -> exports/docs/tests.
  11. For internal API changes, inventory callers, migrate them, and delete the legacy API in the same wave when no external contract requires…
  12. Preserve or explain compatibility re-exports/wrappers/barrels like types.ts plus types/.

What it can do on your machine

Read from SKILL.md and the folder at commit 7ef0cd5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Refactor loads about 868 tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 383 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~868

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from codeaholicguy/ai-devkit at commit 7ef0cd5, republished under its Apache-2.0 licence (© codeaholicguy). 383 words, ~868 tokens.

Download SKILL.mdSave it as .claude/skills/refactor/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
refactor
description
AI DevKit · Systematic structural or multi-file refactors across any stack while preserving behavior and public contracts. Use for reorganizing modules, boundaries, naming, APIs/contracts, staged refactor plans, or refactor risk review.

Refactor

Use for structural refactors. Use simplify-implementation for local readability, dead code, or small logic cleanup.

Rules

  • Preserve behavior and public contracts unless changes are explicit.
  • Classify first: small = local/no public movement; medium = multi-file/extraction/boundary/export touch; large = package/cross-package/staged migration/broad consumers.
  • For medium/large refactors, write a brief before editing: evidence, pressure, remaining delta, do/defer/avoid ranking, non-goals, contracts, target shape, validation, compatibility.
  • Do not propose target trees without current-code evidence: tree, file size/mixed concerns, imports/exports, consumers, validation commands.
  • Separate moves/renames from logic changes and design/API behavior questions.
  • Prefer existing conventions, provider locality, and the smallest structure that solves observed pressure.
  • Subtract before adding: remove dead wrappers, redundant validators, stale exports, and unused paths before introducing new structure.
  • Avoid taste refactors, premature abstractions, and thin one-file directories unless staged or conventional.
  • Validate with fresh command output.

Workflow

  1. Discover stack, configs, entry points, exact validation commands, and prior decisions when available.
  2. Map contracts: exports, APIs, routes, CLI, config, schemas, events, files, docs, examples, consumers.
  3. Map structure: directories, naming, boundaries, dependency direction, cycles, mixed concerns, duplication.
  4. Check reader load: can a new reader find where key state comes from and what can change it quickly? Collapse pass-through layers that do not hide policy, adaptation, or real complexity.
  5. If continuing work, compare current state and list only remaining delta.
  6. Choose refactor type and shape:
    • extraction, reorganization, or design refactor
    • flat/internal, feature-first, domain-first, layer-first, core/adapters/entrypoints, service/repository
    • adapter-heavy: provider-specific stays provider-local; shared pure logic -> shared/core/formatting; SDK/client code -> adapter/entrypoint/delivery
  7. Check boundary discipline: validate at CLI/config/network/external API edges; keep internal logic typed, domain-shaped, and pure where practical.
  8. Prefer domain structure over repeated conditionals: state machine, typed model, registry/map, reducer, or ownership-focused module when it deletes branches or invalid states.
  9. Rank moves as do now, defer, or avoid.
  10. Stage: baseline -> delete dead paths -> move/rename -> imports/call sites -> split/merge -> simplify -> exports/docs/tests.
  11. For internal API changes, inventory callers, migrate them, and delete the legacy API in the same wave when no external contract requires compatibility.
  12. Preserve or explain compatibility re-exports/wrappers/barrels like types.ts plus types/.
  13. Validate: tests, compile/typecheck, lint, build, public/downstream smoke checks, diff review.
Show full SKILL.md (31 more words)Show less

Stop

Pause when contracts are unclear, baseline cannot be checked and no narrower validation exists, breaking changes need migration decisions, ownership/product decisions are required, or the work is becoming a rewrite.

© codeaholicguy, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/refactor of codeaholicguy/ai-devkit.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 7ef0cd5

Compare with similar skills

Refactor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Refactor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Refactor this skillcodeaholicguy/ai-devkit1.6k—~868Automated safety check: PassApache-2.0
Guidelinesakash-network/node1.1k22 repos~577Automated safety check: PassMIT
Component Refactoringlangflow-ai/langflow156k—~3.5kAutomated safety check: PassMIT
Migrate Core Code to Submodulestinyhumansai/openhuman41k—~2.6kAutomated safety check: PassGPL-3.0
ast-grep Structural Searchcode-yeongyu/oh-my-openagent70k—~3.3kAutomated safety check: PassMIT
Systematic Code Refactoringluongnv89/claude-howto42k—~3kAutomated safety check: PassMIT

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Categories

Questions about Refactor

What does Refactor do?

AI DevKit · Systematic structural or multi-file refactors across any stack while preserving behavior and public contracts. Refactor is an agent skill from codeaholicguy/ai-devkit. AI DevKit · Systematic structural or multi-file refactors across any stack while preserving behavior and public contracts.

When should I use Refactor?

Refactor fits situations like: reorganizing modules; staged refactor plans; refactor risk review.

How do I install Refactor in Claude Code?

Run `npx skills add codeaholicguy/ai-devkit --skill refactor -a claude-code`. Or copy the skill folder (skills/refactor in codeaholicguy/ai-devkit) into .claude/skills/refactor in your project. Claude Code loads it when a task matches its description.

How do I install Refactor in Codex?

Run `npx skills add codeaholicguy/ai-devkit --skill refactor -a codex`. Or copy the skill folder (skills/refactor in codeaholicguy/ai-devkit) into .agents/skills/refactor in your project. Codex loads it when a task matches its description.

Can I use Refactor in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add codeaholicguy/ai-devkit --skill refactor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/refactor, .gemini/skills/refactor, .github/skills/refactor and .opencode/skills/refactor in your project.

What does Refactor need to run?

SKILL.md names no scripts, command-line tools or credentials: Refactor is instructions for the agent only.

Does Refactor access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Refactor safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Refactor use?

Refactor is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Refactor use?

About 868 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Refactor?

Skills that share tags, products or a category with Refactor: Guidelines (akash-network/node, 1.1k stars), Component Refactoring (langflow-ai/langflow, 156k stars), Migrate Core Code to Submodules (tinyhumansai/openhuman, 41k stars) and ast-grep Structural Search (code-yeongyu/oh-my-openagent, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Refactor?

codeaholicguy (a GitHub user) maintains it in codeaholicguy/ai-devkit, which has 1,641 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on October 6, 2026.

Source: codeaholicguy/ai-devkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.