Guidelines
akash-network/node
Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.
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)…
$ npx skills add thalysjuvenal/advpl-specialist --skill advpl-refactoring -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install thalysjuvenal/advpl-specialist advpl-refactoring --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "advpl-refactoring" agent skill from https://github.com/thalysjuvenal/advpl-specialist/tree/main/skills/advpl-refactoring into .claude/skills/advpl-refactoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "advpl-refactoring", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/thalysjuvenal/advpl-specialist/tree/main/skills/advpl-refactoringType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add thalysjuvenal/advpl-specialist --skill advpl-refactoring -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install thalysjuvenal/advpl-specialist advpl-refactoring --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/thalysjuvenal/advpl-specialist.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/advpl-refactoring .agents/skills/advpl-refactoring && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "advpl-refactoring" agent skill from https://github.com/thalysjuvenal/advpl-specialist/tree/main/skills/advpl-refactoring into .agents/skills/advpl-refactoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "advpl-refactoring", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add thalysjuvenal/advpl-specialist --skill advpl-refactoring -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install thalysjuvenal/advpl-specialist advpl-refactoring --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/thalysjuvenal/advpl-specialist.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/advpl-refactoring .cursor/skills/advpl-refactoring && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "advpl-refactoring" agent skill from https://github.com/thalysjuvenal/advpl-specialist/tree/main/skills/advpl-refactoring into .cursor/skills/advpl-refactoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "advpl-refactoring", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/thalysjuvenal/advpl-specialist.git --path skills/advpl-refactoring--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add thalysjuvenal/advpl-specialist --skill advpl-refactoring -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install thalysjuvenal/advpl-specialist advpl-refactoring --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/thalysjuvenal/advpl-specialist.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/advpl-refactoring .gemini/skills/advpl-refactoring && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "advpl-refactoring" agent skill from https://github.com/thalysjuvenal/advpl-specialist/tree/main/skills/advpl-refactoring into .gemini/skills/advpl-refactoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "advpl-refactoring", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install thalysjuvenal/advpl-specialist advpl-refactoringInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add thalysjuvenal/advpl-specialist --skill advpl-refactoring -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/thalysjuvenal/advpl-specialist.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/advpl-refactoring .github/skills/advpl-refactoring && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "advpl-refactoring" agent skill from https://github.com/thalysjuvenal/advpl-specialist/tree/main/skills/advpl-refactoring into .github/skills/advpl-refactoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "advpl-refactoring", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add thalysjuvenal/advpl-specialist --skill advpl-refactoring -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install thalysjuvenal/advpl-specialist advpl-refactoring --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/thalysjuvenal/advpl-specialist.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/advpl-refactoring .opencode/skills/advpl-refactoring && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "advpl-refactoring" agent skill from https://github.com/thalysjuvenal/advpl-specialist/tree/main/skills/advpl-refactoring into .opencode/skills/advpl-refactoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "advpl-refactoring", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
advpl-refactoringA 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. 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.
Read from SKILL.md and the folder at commit d80599b. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from thalysjuvenal/advpl-specialist at commit d80599b, republished under its MIT licence (© thalysjuvenal). 174 words, ~500 tokens.
.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.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 file | Read when |
|---|---|
| reference.md | Always -- 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
SKILL.md and 1 other file in skills/advpl-refactoring of thalysjuvenal/advpl-specialist.
Open the folder on GitHubat commit d80599b
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Advpl Refactoring this skillthalysjuvenal/advpl-specialist | 186 | — | ~500 | Automated safety check: Pass | MIT | |
| Guidelinesakash-network/node | 1.1k | 20 repos | ~577 | Automated safety check: Pass | MIT | |
| Migrate Core Code to Submodulestinyhumansai/openhuman | 42k | — | ~2.6k | Automated safety check: Pass | GPL-3.0 | |
| Component Refactoringlangflow-ai/langflow | 155k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Ponytail Lazy Developer ModeDietrichGebert/ponytail | 160k | 1 repos | ~873 | Automated safety check: Pass | MIT | |
| ast-grep Structural Searchcode-yeongyu/oh-my-openagent | 70k | — | ~3.3k | Automated safety check: Pass | MIT |
akash-network/node
Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.
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.
langflow-ai/langflow
Refactor high-complexity React components in Langflow frontend.
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.
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.
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.
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…
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…
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…
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…
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…
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…
Categories
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.
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.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Advpl Refactoring is instructions for the agent only.
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.
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.
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.
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.
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.
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.