Guidelines
akash-network/node
Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.
Improve code quality and maintainability through systematic identification of code smells and application of proven refactoring patterns.
$ npx skills add seb1n/awesome-ai-agent-skills --skill refactoring -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install seb1n/awesome-ai-agent-skills 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/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/code-and-development/refactoring .claude/skills/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 "refactoring" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/code-and-development/refactoring into .claude/skills/refactoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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/seb1n/awesome-ai-agent-skills/tree/main/code-and-development/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 seb1n/awesome-ai-agent-skills --skill refactoring -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install seb1n/awesome-ai-agent-skills refactoring --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/code-and-development/refactoring .agents/skills/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 "refactoring" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/code-and-development/refactoring into .agents/skills/refactoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 seb1n/awesome-ai-agent-skills --skill refactoring -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install seb1n/awesome-ai-agent-skills refactoring --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/code-and-development/refactoring .cursor/skills/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 "refactoring" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/code-and-development/refactoring into .cursor/skills/refactoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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/seb1n/awesome-ai-agent-skills.git --path code-and-development/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 seb1n/awesome-ai-agent-skills --skill refactoring -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install seb1n/awesome-ai-agent-skills refactoring --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/code-and-development/refactoring .gemini/skills/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 "refactoring" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/code-and-development/refactoring into .gemini/skills/refactoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 seb1n/awesome-ai-agent-skills 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 seb1n/awesome-ai-agent-skills --skill refactoring -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/code-and-development/refactoring .github/skills/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 "refactoring" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/code-and-development/refactoring into .github/skills/refactoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 seb1n/awesome-ai-agent-skills --skill 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 seb1n/awesome-ai-agent-skills refactoring --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/code-and-development/refactoring .opencode/skills/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 "refactoring" agent skill from https://github.com/seb1n/awesome-ai-agent-skills/tree/main/code-and-development/refactoring into .opencode/skills/refactoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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.
refactoringImprove code quality and maintainability through systematic identification of code smells and application of proven refactoring patterns.
Refactoring is an agent skill from seb1n/awesome-ai-agent-skills. Improve code quality and maintainability through systematic identification of code smells and application of proven refactoring patterns. Use when the user requests refactoring or provides relevant inputs for this workflow.
Its SKILL.md is about 2.1k 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: 103 ready-to-use AI agent skills for Claude Code, OpenAI Codex, Gemini CLI, Cursor, GitHub Copilot, Windsurf, and other Agent Skills-compatible tools. Complete SKILL.md… The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 75865a5. 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 (its code samples are python and typescript).
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.
Refactoring loads about 2.1k tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 687 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 seb1n/awesome-ai-agent-skills at commit 75865a5, republished under its MIT licence (© seb1n). 687 words, ~2,093 tokens.
.claude/skills/refactoring/SKILL.md (or your agent's skills folder).This skill guides an AI agent through the disciplined process of restructuring existing code without changing its external behavior. Refactoring improves readability, reduces complexity, and makes the codebase easier to extend and maintain. The agent identifies code smells, proposes targeted refactoring patterns, applies transformations safely, and verifies correctness through tests.
Identify Code Smells: Scan the target code for common quality issues — long functions, deeply nested conditionals, duplicated logic, overly broad variable scoping, magic numbers, dead code, and large parameter lists. Flag each smell with its location and a brief explanation of why it harms the codebase.
Select Refactoring Patterns: For every identified smell, choose the most appropriate refactoring pattern. Common patterns include Extract Method, Rename Symbol, Simplify Conditional, Inline Variable, Replace Magic Number with Named Constant, Remove Dead Code, and Introduce Parameter Object. Explain the trade-offs and expected improvement for each proposed change.
Plan the Change Order: Determine a safe sequence for applying refactorings. Prefer small, independent changes that can each be verified in isolation. Group related changes (e.g., extracting a helper then renaming it) and avoid interleaving unrelated transformations that make rollback difficult.
Apply Refactorings: Transform the code one pattern at a time. Preserve the original public API and behavior. Use language-idiomatic constructs — list comprehensions in Python, destructuring in JavaScript, pattern matching in Rust, etc.
Run Tests and Verify: Execute the existing test suite after each transformation. If no tests exist, generate lightweight unit tests covering the refactored paths before and after the change. Confirm that all tests pass and that no regressions have been introduced.
Document Changes: Summarize each refactoring applied, the smell it addressed, and any follow-up improvements that are now possible. This summary serves as a commit message or PR description.
Provide the code you want refactored along with an optional goal such as "reduce complexity," "improve naming," or "break this into smaller functions." The agent will analyze the code, present a refactoring plan, and apply the changes upon approval. You can also point the agent at an entire file or module and ask it to perform a general quality pass.
User Request: "This function is too long and the nested ifs are hard to follow. Refactor it."
Before:
def register_user(payload):
if payload.get("email"):
if "@" in payload["email"]:
if payload.get("password") and len(payload["password"]) >= 8:
user = {"email": payload["email"], "active": True}
db.save(user)
send_welcome_email(user["email"])
log.info(f"User {user['email']} registered")
return user
else:
raise ValueError("Password must be at least 8 characters")
else:
raise ValueError("Invalid email format")
else:
raise ValueError("Email is required")After:
def register_user(payload):
_validate_payload(payload)
user = _create_user(payload["email"])
_notify_and_log(user)
return user
def _validate_payload(payload):
if not payload.get("email"):
raise ValueError("Email is required")
if "@" not in payload["email"]:
raise ValueError("Invalid email format")
if not payload.get("password") or len(payload["password"]) < 8:
raise ValueError("Password must be at least 8 characters")
def _create_user(email):
user = {"email": email, "active": True}
db.save(user)
return user
def _notify_and_log(user):
send_welcome_email(user["email"])
log.info(f"User {user['email']} registered")Patterns applied: Extract Method, Flatten Nested Conditionals (guard clauses).
User Request: "Clean up this Express route handler. There's a lot of repetition."
Before:
app.post("/orders", async (req, res) => {
if (!req.body.items || req.body.items.length === 0) {
return res.status(400).json({ error: "Items are required" });
}
if (req.body.items.length > 50) {
return res.status(400).json({ error: "Too many items" });
}
let total = 0;
for (const item of req.body.items) {
total += item.price * item.quantity;
}
if (total > 10000) {
return res.status(400).json({ error: "Order exceeds maximum total" });
}
const order = { items: req.body.items, total: total, status: "pending" };
await db.orders.insert(order);
return res.status(201).json(order);
});After:
const MAX_ITEMS = 50;
const MAX_ORDER_TOTAL = 10_000;
app.post("/orders", async (req, res) => {
const { items } = req.body;
const validationError = validateOrder(items);
if (validationError) {
return res.status(400).json({ error: validationError });
}
const total = calculateTotal(items);
if (total > MAX_ORDER_TOTAL) {
return res.status(400).json({ error: "Order exceeds maximum total" });
}
const order = await createOrder(items, total);
return res.status(201).json(order);
});
function validateOrder(items?: OrderItem[]): string | null {
if (!items || items.length === 0) return "Items are required";
if (items.length > MAX_ITEMS) return "Too many items";
return null;
}
function calculateTotal(items: OrderItem[]): number {
return items.reduce((sum, item) => sum + item.price * item.quantity, 0);
}
async function createOrder(items: OrderItem[], total: number) {
const order = { items, total, status: "pending" as const };
await db.orders.insert(order);
return order;
}Patterns applied: Extract Method, Replace Magic Number with Named Constant, Destructuring.
validate_email is better than check with a comment explaining what it checks.© seb1n, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in code-and-development/refactoring of seb1n/awesome-ai-agent-skills.
Open the folder on GitHubat commit 75865a5
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 |
|---|---|---|---|---|---|---|
| Refactoring this skillseb1n/awesome-ai-agent-skills | 206 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Guidelinesakash-network/node | 1.1k | 22 repos | ~577 | Automated safety check: Pass | MIT | |
| Component Refactoringlangflow-ai/langflow | 156k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Migrate Core Code to Submodulestinyhumansai/openhuman | 41k | — | ~2.6k | Automated safety check: Pass | GPL-3.0 | |
| ast-grep Structural Searchcode-yeongyu/oh-my-openagent | 70k | — | ~3.3k | Automated safety check: Pass | MIT | |
| Systematic Code Refactoringluongnv89/claude-howto | 42k | — | ~3k | Automated safety check: Pass | MIT |
akash-network/node
Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.
langflow-ai/langflow
Refactor high-complexity React components in Langflow frontend.
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.
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.
skills-directory/skill-codex
A skill your agent uses when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing
seb1n/awesome-ai-agent-skills
Plan, execute, document, and retest authorized security assessments of AI agents and multi-agent workflows using safe adversarial cases, synthetic identities, canaries, and evidence-based findings.
seb1n/awesome-ai-agent-skills
Build a preliminary, evidence-based EU AI Act readiness assessment across AI-system inventory, territorial scope, operator roles, prohibited-practice screening, risk classification, transparency…
seb1n/awesome-ai-agent-skills
Design and verify auditable human oversight, approval gates, escalation paths, and safe state transitions for AI agent workflows.
seb1n/awesome-ai-agent-skills
Design, implement, harden, and verify Model Context Protocol (MCP) servers with precise tool contracts, least-privilege authorization, safe transports, structured errors, and interoperability tests.
seb1n/awesome-ai-agent-skills
Inspect, extract, OCR, create, merge, split, reorder, rotate, annotate, fill, redact, compress, secure, and verify PDF documents while preserving source files and visual fidelity.
seb1n/awesome-ai-agent-skills
Audit agent skills, plugins, prompts, manifests, scripts, dependencies, and bundled assets for provenance, prompt-injection, permission, execution, exfiltration, persistence, and update risk.
Categories
Improve code quality and maintainability through systematic identification of code smells and application of proven refactoring patterns. Refactoring is an agent skill from seb1n/awesome-ai-agent-skills. Improve code quality and maintainability through systematic identification of code smells and application of proven refactoring patterns.
Refactoring fits situations like: the user requests refactoring; provides relevant inputs for this workflow.
Run `npx skills add seb1n/awesome-ai-agent-skills --skill refactoring -a claude-code`. Or copy the skill folder (code-and-development/refactoring in seb1n/awesome-ai-agent-skills) into .claude/skills/refactoring in your project. Claude Code loads it when a task matches its description.
Run `npx skills add seb1n/awesome-ai-agent-skills --skill refactoring -a codex`. Or copy the skill folder (code-and-development/refactoring in seb1n/awesome-ai-agent-skills) into .agents/skills/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 seb1n/awesome-ai-agent-skills --skill 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/refactoring, .gemini/skills/refactoring, .github/skills/refactoring and .opencode/skills/refactoring in your project.
SKILL.md names no scripts, command-line tools or credentials: Refactoring is instructions for the agent only. Our summary lists: Python 3.
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.
Refactoring is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.4k 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 Refactoring: 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.
seb1n (a GitHub user) maintains it in seb1n/awesome-ai-agent-skills, which has 206 GitHub stars. The repository holds 92 skills in this directory. The repository was last updated on August 9, 2026.
Source: seb1n/awesome-ai-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.