Agent skill

Refactor

by parcadei in parcadei/Continuous-Claude-v3

Code refactoring workflow - analyze → plan → implement → review → validate

MITAuto-check passedDevelopment

Install Refactor

skills CLI
$ npx skills add parcadei/Continuous-Claude-v3 --skill refactor -a claude-code

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

GitHub CLI
$ gh skill install parcadei/Continuous-Claude-v3 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/parcadei/Continuous-Claude-v3.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/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
3.9k
Used in
1 other repo
Token cost
~1.1k tokens
SKILL.md length
162 words
Files
1
Skills in repo
141
Repo updated
First seen
Licence
MIT

At a glance

Code refactoring workflow - analyze → plan → implement → review → validate

  • Works in 5 steps: Analyze → Plan → Implement → …
  • Tasks that involve Refactoring
  • SKILL.md covers When to Use, Workflow Overview, Agent Sequence and Refactoring Principles, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Refactor is an agent skill from parcadei/Continuous-Claude-v3. Code refactoring workflow - analyze → plan → implement → review → validate

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Refactoring. The repository describes itself as: Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows. The licence is MIT.

When your agent uses it

  • Tasks that involve Refactoring

Example prompts

  • “/refactor”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Analyze
  2. Plan
  3. Implement
  4. Review
  5. Validate

What it can do on your machine

Read from SKILL.md and the folder at commit d07ff4b. 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 1.1k tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 162 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~21
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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 parcadei/Continuous-Claude-v3 at commit d07ff4b, republished under its MIT licence (© parcadei). 162 words, ~1,075 tokens.

Download SKILL.mdSave it as .claude/skills/refactor/SKILL.md (or your agent's skills folder).
name
refactor
description
Code refactoring workflow - analyze → plan → implement → review → validate

/refactor - Refactoring Workflow

Safe refactoring with review gates.

When to Use

  • "Refactor X"
  • "Clean up this code"
  • "Extract this into a module"
  • "Improve the architecture of Y"
  • Large-scale code restructuring
  • Technical debt reduction

Workflow Overview

┌──────────┐    ┌────────────┐    ┌──────────┐    ┌──────────┐    ┌───────────┐
│ phoenix  │───▶│   plan-    │───▶│  kraken  │───▶│plan-reviewer│───▶│ arbiter  │
│          │    │   agent    │    │          │    │          │    │           │
└──────────┘    └────────────┘    └──────────┘    └──────────┘    └───────────┘
  Analyze         Plan             Implement       Review          Verify
  current         changes          refactor        changes         tests pass

Agent Sequence

#AgentRoleOutput
1phoenixAnalyze current code, identify improvement areasAnalysis report
2plan-agentCreate safe refactoring planStep-by-step plan
3krakenImplement the refactoringCode changes
4plan-reviewerReview changes for correctnessReview report
5arbiterVerify all tests still passTest report

Refactoring Principles

  1. Tests first: Ensure adequate test coverage before refactoring
  2. Small steps: Each change should be independently verifiable
  3. Behavior preserved: No functional changes during refactor
  4. Reviewable: Changes should be easy to review

Execution

Phase 1: Analyze
Task(
  subagent_type="phoenix",
  prompt="""
  Analyze for refactoring: [TARGET_CODE]

  Identify:
  - Current pain points
  - Code smells
  - Improvement opportunities
  - Risk areas
  - Test coverage gaps
  """
)
Phase 2: Plan
Task(
  subagent_type="plan-agent",
  prompt="""
  Plan refactoring: [TARGET_CODE]

  Analysis: [from phoenix]

  Create:
  - Step-by-step refactoring plan
  - Each step should be:
    - Small and focused
    - Independently testable
    - Reversible
  - Identify files affected
  - Risk mitigation strategy
  """
)
Phase 3: Implement
Task(
  subagent_type="kraken",
  prompt="""
  Implement refactoring: [TARGET_CODE]

  Plan: [from plan-agent]

  Requirements:
  - Follow plan exactly
  - Run tests after each step
  - Stop if tests fail
  - NO behavior changes
  """
)
Phase 4: Review
Task(
  subagent_type="plan-reviewer",
  prompt="""
  Review refactoring: [TARGET_CODE]

  Changes: [git diff from kraken]

  Check:
  - Behavior preserved
  - No unintended changes
  - Code quality improved
  - Patterns consistent
  """
)
Phase 5: Validate
Task(
  subagent_type="arbiter",
  prompt="""
  Validate refactoring: [TARGET_CODE]

  - Run full test suite
  - Verify no regressions
  - Check type errors
  - Run linting
  """
)

Refactoring Types

Extract Module
phoenix → plan-agent → kraken → plan-reviewer → arbiter
Rename/Restructure
phoenix → kraken → arbiter  (simpler, skip detailed planning)
Architecture Change
phoenix → plan-agent → [kraken → plan-reviewer] × N phases → arbiter

Example

User: /refactor Extract the validation logic into a separate module

Claude: Starting /refactor workflow...

Phase 1: Analyzing current structure...
[Spawns phoenix]
Found: Validation logic spread across 4 files
- form.ts (lines 45-120)
- api.ts (lines 200-280)
- user.ts (lines 15-45)
- order.ts (lines 88-130)

Phase 2: Planning extraction...
[Spawns plan-agent]
Plan:
1. Create src/validation/index.ts
2. Extract common validators
3. Update imports one file at a time
4. Run tests after each change

Phase 3: Implementing...
[Spawns kraken]
Completed all 4 steps, tests green after each

Phase 4: Reviewing changes...
[Spawns plan-reviewer]
✅ All behavior preserved
✅ DRY improved (removed 45 duplicate lines)
✅ New structure consistent

Phase 5: Final validation...
[Spawns arbiter]
✅ 312 tests passing, 0 regressions

Refactoring complete!

Safety Flags

  • --dry-run: Plan but don't implement
  • --step-by-step: Pause after each change for approval
  • --coverage-check: Require >80% coverage before proceeding

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

Files

Just SKILL.md in .claude/skills/refactor of parcadei/Continuous-Claude-v3.

Open the folder on GitHubat commit d07ff4b

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in parcadei/Continuous-Claude-v3, which our catalogue first saw on October 7, 2026.

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 skillparcadei/Continuous-Claude-v33.9k1 repos~1.1kAutomated safety check: PassMIT
Guidelinesakash-network/node1.1k22 repos~577Automated safety check: PassMIT
Component Refactoringlangflow-ai/langflow156k—~3.5kAutomated safety check: PassMIT
Migrate Core Code to Submodulestinyhumansai/openhuman42k—~2.6kAutomated safety check: PassGPL-3.0
Systematic Code Refactoringluongnv89/claude-howto42k—~3kAutomated safety check: PassMIT
Codexskills-directory/skill-codex1.5k3 repos~1.8kAutomated safety check: PassMIT

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Categories

Questions about Refactor

What does Refactor do?

Code refactoring workflow - analyze → plan → implement → review → validate. Refactor is an agent skill from parcadei/Continuous-Claude-v3.

When should I use Refactor?

Refactor fits situations like: tasks that involve Refactoring.

How do I install Refactor in Claude Code?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill refactor -a claude-code`. Or copy the skill folder (.claude/skills/refactor in parcadei/Continuous-Claude-v3) 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 parcadei/Continuous-Claude-v3 --skill refactor -a codex`. Or copy the skill folder (.claude/skills/refactor in parcadei/Continuous-Claude-v3) 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 parcadei/Continuous-Claude-v3 --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 MIT 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 1.1k tokens (SKILL.md is roughly 4.3k 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, 42k stars) and Systematic Code Refactoring (luongnv89/claude-howto, 42k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Refactor?

parcadei (a GitHub user) maintains it in parcadei/Continuous-Claude-v3, which has 3,940 GitHub stars. The repository holds 141 skills in this directory. The repository was last updated on January 26, 2026.

Source: parcadei/Continuous-Claude-v3 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.