Agent skill

Advpl Refactoring

by thalysjuvenal in thalysjuvenal/advpl-specialist

A skill your agent uses when the user asks to refactor, clean up, or restructure existing ADVPL/TLPP code on TOTVS Protheus without changing its behavior -- extracting long functions (100 lines)…

MITAuto-check passedDevelopment

Install Advpl Refactoring

skills CLI
$ npx skills add thalysjuvenal/advpl-specialist --skill advpl-refactoring -a claude-code

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

GitHub CLI
$ gh skill install thalysjuvenal/advpl-specialist advpl-refactoring --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/thalysjuvenal/advpl-specialist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/advpl-refactoring .claude/skills/advpl-refactoring && 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
advpl-refactoring
GitHub stars
186
Token cost
~500 tokens
SKILL.md length
174 words
Files
2
Skills in repo
19
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the user asks to refactor, clean up, or restructure existing ADVPL/TLPP code on TOTVS Protheus without changing its behavior -- extracting long functions (100 lines)…

  • The user asks to refactor
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Restructure existing ADVPL/TLPP code on TOTVS Protheus without changing its behavior -- extracting long functions (100 lines)
  • Simplifying deeply nested conditionals

What it does

Advpl Refactoring is an agent skill from thalysjuvenal/advpl-specialist. Use when the user asks to refactor, clean up, or restructure existing ADVPL/TLPP code on TOTVS Protheus without changing its behavior -- extracting long functions (100 lines), simplifying deeply nested conditionals, removing dead code, improving variable naming (Hungarian notation), eliminating duplicated logic, or reducing functions with too many parameters. Also triggers on Portuguese phrasing like "refatorar rotina", "melhorar esse fonte", "extrair funcao", "remover codigo morto", "simplificar condicional"…

Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `reference.md`).

It sits in Development, covering Refactoring. The repository describes itself as: Plugin para Claude Code especializado em ADVPL e TLPP para desenvolvimento TOTVS Protheus. The licence is MIT.

When your agent uses it

  • The user asks to refactor
  • Restructure existing ADVPL/TLPP code on TOTVS Protheus without changing its behavior -- extracting long functions (100 lines)
  • Simplifying deeply nested conditionals
  • Removing dead code

Example prompts

  • “refatorar rotina”
  • “melhorar esse fonte”
  • “extrair funcao”
  • “/advpl-refactoring”

What it can do on your machine

Read from SKILL.md and the folder at commit d80599b. 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

Advpl Refactoring loads about 500 tokens when it runs. Until then it costs about 147 tokens; SKILL.md has 174 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~147
When it runs · the whole SKILL.md, loaded when a task matches
~500

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 thalysjuvenal/advpl-specialist at commit d80599b, republished under its MIT licence (© thalysjuvenal). 174 words, ~500 tokens.

Download SKILL.mdSave it as .claude/skills/advpl-refactoring/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
advpl-refactoring
description
Use when the user asks to refactor, clean up, or restructure existing ADVPL/TLPP code on TOTVS Protheus without changing its behavior -- extracting long functions (>100 lines), simplifying deeply nested conditionals, removing dead code, improving variable naming (Hungarian notation), eliminating duplicated logic, or reducing functions with too many parameters. Also triggers on Portuguese phrasing like "refatorar rotina", "melhorar esse fonte", "extrair funcao", "remover codigo morto", "simplificar condicional", "reduzir complexidade", or "God function" complaints.

ADVPL/TLPP Refactoring

This skill defines safe refactoring patterns (RF-001 through RF-006) for improving ADVPL/TLPP code structure without altering behavior: extract function, simplify conditionals with guard clauses, remove dead code, improve naming to Hungarian notation, eliminate duplication, and reduce function parameter count. It also defines the mandatory process -- analyze, prioritize, present a before/after plan, wait for user approval, apply one change at a time, verify -- and hard safety rules (never change business logic, never rename externally-used symbols without a caller check).

Activate this skill when the user wants existing, working code restructured for readability or maintainability: long functions, deep nesting, unclear names, copy-pasted blocks, or functions with excessive parameters. It does not cover fixing bugs or errors (see advpl-debugging), generating brand-new functionality (see advpl-code-generation), a formal quality/security audit (see advpl-code-review), or converting procedural .prw to object-oriented .tlpp (see advpl-to-tlpp-migration, which is a structural paradigm change rather than a behavior-preserving cleanup).

Reference fileRead when
reference.mdAlways -- the only file in this skill; contains all refactoring patterns (RF-001 to RF-006), the refactoring process, and safety rules

© thalysjuvenal, MIT. 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/advpl-refactoring of thalysjuvenal/advpl-specialist.

  • SKILL.md
  • reference.md

Open the folder on GitHubat commit d80599b

Compare with similar skills

Advpl Refactoring 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.

Advpl Refactoring compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Advpl Refactoring this skillthalysjuvenal/advpl-specialist186—~500Automated safety check: PassMIT
Guidelinesakash-network/node1.1k20 repos~577Automated safety check: PassMIT
Migrate Core Code to Submodulestinyhumansai/openhuman42k—~2.6kAutomated safety check: PassGPL-3.0
Component Refactoringlangflow-ai/langflow155k—~3.5kAutomated safety check: PassMIT
Ponytail Lazy Developer ModeDietrichGebert/ponytail160k1 repos~873Automated safety check: PassMIT
ast-grep Structural Searchcode-yeongyu/oh-my-openagent70k—~3.3kAutomated safety check: PassMIT

Similar skills

  • Guidelines

    akash-network/node

    Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.

    1.1k GitHub starsUsed in 20 repos~577 tokens
    DevelopmentAuto-check passed
  • Migrate Core Code to Submodules

    tinyhumansai/openhuman

    Plans and carries out moving non-host-specific code and its tests from the OpenHuman core into vendored tiny submodule libraries, then releases the submodule and re-pins the host.

    42k GitHub stars~2.6k tokensUpdated today
    DevelopmentAuto-check passed
  • Component Refactoring

    langflow-ai/langflow

    Refactor high-complexity React components in Langflow frontend.

    155k GitHub stars~3.5k tokensUpdated yesterday
    DevelopmentAuto-check passed
  • Ponytail Lazy Developer Mode

    DietrichGebert/ponytail

    Makes the agent pick the laziest solution that works: skip unneeded work, reuse what exists, prefer the standard library and platform features, and keep diffs small.

    160k GitHub starsUsed in 1 repo~873 tokens
    DevelopmentAuto-check passed
  • ast-grep Structural Search

    code-yeongyu/oh-my-openagent

    Searches and rewrites code by syntax-tree shape across 25 languages with ast-grep, for codemods, structural queries and YAML lint rules, using a Python wrapper script.

    70k GitHub stars~3.3k tokensUpdated today
    DevelopmentAuto-check passed
  • Systematic Code Refactoring

    luongnv89/claude-howto

    Guides refactoring in phases based on Martin Fowler's method: research, test coverage check, planning and small tested steps, with your approval at each phase.

    42k GitHub stars~3k tokensUpdated today
    DevelopmentAuto-check passed

More from thalysjuvenal/advpl-specialist

All 19 skills in this repo
  • Advpl Code Generation

    thalysjuvenal/advpl-specialist

    A skill your agent uses when the user asks to generate, create, or scaffold ADVPL/TLPP code for TOTVS Protheus -- User Functions, Static Functions, TLPP classes, MVC (Model/View/Controller), REST…

    186 GitHub stars~749 tokensUpdated 26 days ago
    Auto-check passed
  • Advpl Code Review

    thalysjuvenal/advpl-specialist

    A skill your agent uses when the user asks to review, audit, or check the quality of ADVPL/TLPP code for TOTVS Protheus before merge or deploy -- covering best practices (RecLock/MsUnlock pairing…

    186 GitHub stars~604 tokensUpdated 26 days ago
    Auto-check passed
  • Advpl To Tlpp Migration

    thalysjuvenal/advpl-specialist

    A skill your agent uses when the user asks to migrate, convert, compatibilize, or modernize legacy ADVPL procedural code to TLPP object-oriented classes on TOTVS Protheus -- turning User…

    186 GitHub stars~592 tokensUpdated 26 days ago
    Auto-check passed
  • Advpr Test Automation

    thalysjuvenal/advpl-specialist

    A skill your agent uses when the user wants to write, run, or troubleshoot automated regression tests for Protheus routines with ADVPR (Advanced Protheus Robot) -- covering FWTestHelper API…

    186 GitHub stars~835 tokensUpdated 26 days ago
    Auto-check passed
  • Protheus Business

    thalysjuvenal/advpl-specialist

    A skill your agent uses when the user needs to understand a TOTVS Protheus ERP business process, module workflow, or cross-module integration -- covering Compras (COM), Estoque (EST), Faturamento…

    186 GitHub stars~671 tokensUpdated 26 days ago
    Auto-check passed
  • Protheus Locks Deadlocks

    thalysjuvenal/advpl-specialist

    A skill your agent uses when the user needs to understand, diagnose, or prevent Protheus record locks and deadlocks -- covering RecLock/MsUnlock/SoftLock/LockByName semantics, BeginTran/EndTran…

    186 GitHub stars~553 tokensUpdated 26 days ago
    Auto-check passed

Categories

Questions about Advpl Refactoring

What does Advpl Refactoring do?

A skill your agent uses when the user asks to refactor, clean up, or restructure existing ADVPL/TLPP code on TOTVS Protheus without changing its behavior -- extracting long functions (100 lines)…. Advpl Refactoring is an agent skill from thalysjuvenal/advpl-specialist. Use when the user asks to refactor, clean up, or restructure existing ADVPL/TLPP code on TOTVS Protheus without changing its behavior -- extracting long functions (100 lines), simplifying deeply nested conditionals, removing dead code, improving variable naming (Hungarian notation), eliminating duplicated logic, or reducing functions with too many parameters.

When should I use Advpl Refactoring?

Advpl Refactoring fits situations like: the user asks to refactor; restructure existing ADVPL/TLPP code on TOTVS Protheus without changing its behavior -- extracting long functions (100 lines); simplifying deeply nested conditionals; removing dead code.

How do I install Advpl Refactoring in Claude Code?

Run `npx skills add thalysjuvenal/advpl-specialist --skill advpl-refactoring -a claude-code`. Or copy the skill folder (skills/advpl-refactoring in thalysjuvenal/advpl-specialist) into .claude/skills/advpl-refactoring in your project. Claude Code loads it when a task matches its description.

How do I install Advpl Refactoring in Codex?

Run `npx skills add thalysjuvenal/advpl-specialist --skill advpl-refactoring -a codex`. Or copy the skill folder (skills/advpl-refactoring in thalysjuvenal/advpl-specialist) into .agents/skills/advpl-refactoring in your project. Codex loads it when a task matches its description.

Can I use Advpl Refactoring 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 thalysjuvenal/advpl-specialist --skill advpl-refactoring -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/advpl-refactoring, .gemini/skills/advpl-refactoring, .github/skills/advpl-refactoring and .opencode/skills/advpl-refactoring in your project.

What does Advpl Refactoring need to run?

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

Does Advpl Refactoring 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 Advpl Refactoring 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 Advpl Refactoring use?

Advpl Refactoring 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 Advpl Refactoring use?

About 500 tokens (SKILL.md is roughly 2k 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 Advpl Refactoring?

Skills that share tags, products or a category with Advpl Refactoring: Guidelines (akash-network/node, 1.1k stars), Migrate Core Code to Submodules (tinyhumansai/openhuman, 42k stars), Component Refactoring (langflow-ai/langflow, 155k stars) and Ponytail Lazy Developer Mode (DietrichGebert/ponytail, 160k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Advpl Refactoring?

thalysjuvenal (a GitHub user) maintains it in thalysjuvenal/advpl-specialist, which has 186 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on September 14, 2026.

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