Agent skill

Super Code

by sickn33 in sickn33/agentic-awesome-skills

Standing house style to enforce dense, correct, and idiomatic code on all coding tasks.

MITAuto-check passedDevelopment

Install Super Code

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill super-code -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills super-code --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/super-code .claude/skills/super-code && 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
super-code
GitHub stars
47k
Used in
1 other repo
Token cost
~2k tokens
SKILL.md length
980 words
Files
1
Skills in repo
1,394
Repo updated
First seen
Licence
MIT

At a glance

Standing house style to enforce dense, correct, and idiomatic code on all coding tasks.

  • Works in 5 steps: Commit to minimal correct shape BEFORE… → Write using language-idiomatic patterns → Compression pass on your own draft → …
  • Development work in your project
  • SKILL.md covers Overview, When to Use This Skill, Priority Order (never violate… and Workflow — apply to every…, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Super Code is an agent skill from sickn33/agentic-awesome-skills. Standing house style to enforce dense, correct, and idiomatic code on all coding tasks. Minimizes code bloat and agent operation overhead.

Its SKILL.md is about 2k 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. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Development work in your project

Example prompts

  • “/super-code”

Requirements

  • Python 3

Workflow steps

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

  1. Commit to minimal correct shape BEFORE writing
  2. Write using language-idiomatic patterns
  3. Compression pass on your own draft
  4. Guardrail check — run this before presenting
  5. Present output — generation-token rules

What it can do on your machine

Read from SKILL.md and the folder at commit 1e53ce2. 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 (its code samples are java).

    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

Super Code loads about 2k tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 980 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~2k

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 sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 980 words, ~1,970 tokens.

Download SKILL.mdSave it as .claude/skills/super-code/SKILL.md (or your agent's skills folder).
name
super-code
description
Standing house style to enforce dense, correct, and idiomatic code on all coding tasks. Minimizes code bloat and agent operation overhead.
risk
safe
source
community
date_added
2026-06-16

Super Code Skill

Overview

Produce code that is short, correct, idiomatic, and maintainable — in that priority order. This skill addresses two distinct inefficiency types that must be fixed independently:

  1. Code-token inefficiency — the artifact itself is bloated (unnecessary lines, boilerplate, over-abstraction)
  2. Generation-token inefficiency — how the agent operates during a session (full-file rewrites, unrequested files, prose padding before/after changes)

Both matter. Fixing only one is not enough.

When to Use This Skill

  • Apply this skill automatically on EVERY coding task in the IDE.
  • Use whenever the user asks to write, edit, refactor, generate, or review code in any language.
  • This is a standing house style, not an on-demand pass — always apply it.

Priority Order (never violate this ranking)

Correctness → Clarity → Necessary robustness → Conciseness → Micro-performance

Conciseness never wins over correctness or readability. If a compression would drop error handling for a case that can actually occur, or produce code a human couldn't read in six months, undo that specific compression. Short bad code is worse than long correct code.


Workflow — apply to every coding task

Step 1: Commit to minimal correct shape BEFORE writing

Before touching a file, decide:

  • What is the smallest surface area that correctly solves this problem?
  • What does the caller actually need from this function/class/module?
  • Is there a stdlib/framework primitive that already does this?

Write that down mentally (not in a prose block to the user). This is the target shape.

Step 2: Write using language-idiomatic patterns

Read the relevant reference file for the language in use:

  • Bash/Shell → bash/SKILL.md
  • C → c/SKILL.md
  • C++ → cpp/SKILL.md
  • C# → csharp/SKILL.md
  • Dart/Flutter → dart/SKILL.md
  • Elixir/Erlang → elixir/SKILL.md
  • Go → go/SKILL.md
  • Java → java/SKILL.md
  • Kotlin/Compose → kotlin/SKILL.md
  • PHP → php/SKILL.md
  • Python → python/SKILL.md
  • Ruby → ruby/SKILL.md
  • Rust → rust/SKILL.md
  • Scala → scala/SKILL.md
  • Swift → swift/SKILL.md
  • TypeScript/JavaScript → typescript/SKILL.md

Apply idiomatic patterns from that file. They replace verbose imperative code with correct, concise equivalents that are still readable.

Step 3: Compression pass on your own draft

Before presenting any code, scan it for:

Anti-patternFix
Comment restates what code doesDelete comment, or rewrite to say why
Single-use helper function/classInline it
Stdlib/framework already does thisReplace with the primitive
Defensive handling for impossible caseRemove
Verbose loop replaceable by idiomatic expressionReplace
Logging/print nobody asked forRemove
Extra config/files/parameters not requestedRemove
Unused import or variableRemove
Step 4: Guardrail check — run this before presenting

Ask yourself (silently):

  • Did I remove handling for a case that can actually happen?
  • Did I make this harder to read for a human six months from now?
  • Did I drop correctness or security to save lines?

If yes to any: undo that specific compression and keep the rest.

Step 5: Present output — generation-token rules

Always:

  • Edit files via targeted patches/diffs, not full rewrites, unless the file is new or the change touches >70% of lines
  • Present only what was asked for

Never:

  • Generate unrequested files (tests, READMEs, configs, types) unless the user asked
  • Add prose blocks before/after code explaining what you're about to do or just did — just do it
  • Re-explain the user's own requirement back to them before writing
  • Restate what changed in a paragraph after showing the diff — the diff is self-evident

Universal Anti-Pattern Checklist

These apply in every language. The language-specific files extend this list.

Comments
  • ❌ // Loop through the list and add each item → ❌ delete
  • ✅ // Order matters: process refunds before charges → ✅ keep (explains why)
  • Rule: if the comment could be generated mechanically from reading the code, it adds no value
Defensive coding
  • Only handle error cases that can actually occur given the call site
  • If the caller guarantees non-null, don't null-check inside the function
  • If a catch block can only log and rethrow, consider removing the try/catch
Show full SKILL.md (386 more words)Show less
Abstractions
  • Don't extract a function for logic used exactly once in one place
  • Don't create a wrapper class around a primitive used only once
  • Threshold: abstraction earns its place when it's used 2+ times OR when it has a meaningful name that genuinely clarifies domain logic
Scaffolding
  • No placeholder TODOs unless the user asked for a scaffold
  • No // TODO: add error handling — either add it or don't
  • No empty catch blocks "just in case"
  • No parameters the current callers don't use

Generation-Token Rules (agentic IDE specific)

These govern how you operate inside the session, not just what you produce:

File edits
  • Prefer surgical patches: show only the changed lines + minimal context
  • Full file rewrite is acceptable only for: new files, files shorter than ~30 lines, or changes touching >70% of the file
  • Never repeat unchanged portions of a file to "show the full context"
Unrequested artifacts
  • Do not create test files, README updates, type definition files, config files, or CI scripts unless explicitly requested
  • If you believe a test file would be valuable, offer it in one sentence after the main output — don't generate it unasked
Prose overhead
  • No "Here's what I'm going to do:" preambles
  • No "I've made the following changes:" postambles (the diff shows this)
  • No "Let me know if you'd like me to..." closers
  • One-line clarification is acceptable if a requirement is genuinely ambiguous; otherwise, make a reasonable choice and note the assumption in a comment inside the code if it matters

Language Reference Files

Language / StackFile
Bash / Shellbash/SKILL.md
Cc/SKILL.md
C++cpp/SKILL.md
C# / .NETcsharp/SKILL.md
Dart / Flutterdart/SKILL.md
Elixir / Erlangelixir/SKILL.md
Gogo/SKILL.md
Javajava/SKILL.md
Kotlin + Compose (Android)kotlin/SKILL.md
PHPphp/SKILL.md
Pythonpython/SKILL.md
Rubyruby/SKILL.md
Rustrust/SKILL.md
Scalascala/SKILL.md
Swift (iOS/macOS)swift/SKILL.md
TypeScript / JavaScripttypescript/SKILL.md

Read the relevant file at Step 2. If the language isn't listed, apply the universal checklist above and use the language's own idioms for loops, error handling, and data transformation.

Examples

Example 1: Refactoring a verbose loop
java
// Anti-pattern
List<String> names = new ArrayList<>();
for (User u : users) {
    if (u.isActive()) {
        names.add(u.getName());
    }
}
// Super-code idiomatic (Java)
List<String> names = users.stream().filter(User::isActive).map(User::getName).toList();

Troubleshooting

Problem: Code is too dense to read

Symptoms: Reviewer complains or logic is unreadable. Solution: Revert the overly compressed section. Clarity and correctness always win over conciseness.

  • @karpathy-guidelines - For behavioral guidelines on surgical changes and simplicity.

Limitations

  • Language Support: Language-specific idioms require reference files.
  • Readability Tradeoffs: Extreme compression can sometimes harm readability if not careful.

© sickn33, 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 skills/super-code of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit 1e53ce2

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Super Code 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.

Super Code compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Super Code this skillsickn33/agentic-awesome-skills47k1 repos~2kAutomated safety check: PassMIT
Native Data FetchingCherryHQ/cherry-studio-app4k6 repos~2.9kAutomated safety check: NotesMIT
Android UI Visual Reviewpermissionlesstech/bitchat-android7.7k—~2.6kAutomated safety check: PassGPL-3.0
jscpd Code Migration Trackerkucherenko/jscpd6.3k—~5kAutomated safety check: PassMIT
Zhihu Pp AI Slop Cleanerzly2006/zhihu-plus-plus4.2k—~3.7kAutomated safety check: PassAGPL-3.0
Happy Monorepo Dev Guideslopus/happy24k—~1.8kAutomated safety check: PassMIT

Similar skills

  • Native Data Fetching

    CherryHQ/cherry-studio-app

    A skill your agent uses when implementing or debugging ANY network request, API call, or data fetching.

    4k GitHub starsUsed in 6 repos~2.9k tokens
    DevelopmentAuto-check: notes
  • Android UI Visual Review

    permissionlesstech/bitchat-android

    Analyze an Android pull request, branch, commit, or patch for user-visible changes and produce reproducible before/after screenshots from isolated builds.

    7.7k GitHub stars~2.6k tokensUpdated yesterday
    DevelopmentAuto-check passed
  • Measures a code port between languages or frameworks with jscpd's function-level comparison, porting tests before code and tracking what is left unmatched.

    6.3k GitHub stars~5k tokensUpdated today
    DevelopmentAuto-check passed
  • Zhihu Pp AI Slop Cleaner

    zly2006/zhihu-plus-plus

    A skill your agent uses for Zhihu++ maintenance work that scans Kotlin main sources for low-call functions, structurally similar function bodies, dead code, pure forwarding wrappers, pointless…

    4.2k GitHub stars~3.7k tokensUpdated today
    DevelopmentAuto-check passed
  • Local development guide for the Happy pnpm monorepo: install, build, test and run the CLI, server, Expo app and Tauri desktop packages.

    24k GitHub stars~1.8k tokensUpdated today
    DevelopmentAuto-check passed
  • Swift Concurrency

    henrypldev/react-native-nitro-mlx

    Diagnose Swift Concurrency issues, refactor callback-based code to async/await, and guide Swift 6 migration when working with tasks, actors, @MainActor, Sendable, data races, thread safety, or…

    100 GitHub starsUsed in 3 repos~3.1k tokens
    DevelopmentAuto-check passed

More from sickn33/agentic-awesome-skills

All 1,394 skills in this repo
  • Liuguang Banlan UI

    sickn33/agentic-awesome-skills

    Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • User Thoughts Memory

    sickn33/agentic-awesome-skills

    Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • Using LWC Memory and Graphs

    sickn33/agentic-awesome-skills

    Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.

    47k GitHub starsUsed in 1 repo~2k tokens
    Auto-check passed
  • Find Complementary Founders

    sickn33/agentic-awesome-skills

    Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.

    47k GitHub starsUsed in 1 repo~4.8k tokens
    Auto-check passed
  • Whatsapp Cloud API

    sickn33/agentic-awesome-skills

    Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.

    47k GitHub starsUsed in 2 repos~4.5k tokens
    Auto-check passed
  • Cline Pilot

    sickn33/agentic-awesome-skills

    Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.

    47k GitHub starsUsed in 1 repo~4.6k tokens
    Auto-check passed

Questions about Super Code

What does Super Code do?

Standing house style to enforce dense, correct, and idiomatic code on all coding tasks. Super Code is an agent skill from sickn33/agentic-awesome-skills. Standing house style to enforce dense, correct, and idiomatic code on all coding tasks.

When should I use Super Code?

Super Code fits situations like: development work in your project.

How do I install Super Code in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill super-code -a claude-code`. Or copy the skill folder (skills/super-code in sickn33/agentic-awesome-skills) into .claude/skills/super-code in your project. Claude Code loads it when a task matches its description.

How do I install Super Code in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill super-code -a codex`. Or copy the skill folder (skills/super-code in sickn33/agentic-awesome-skills) into .agents/skills/super-code in your project. Codex loads it when a task matches its description.

Can I use Super Code 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 sickn33/agentic-awesome-skills --skill super-code -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/super-code, .gemini/skills/super-code, .github/skills/super-code and .opencode/skills/super-code in your project.

What does Super Code need to run?

SKILL.md names no scripts, command-line tools or credentials: Super Code is instructions for the agent only. Our summary lists: Python 3.

Does Super Code 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 Super Code 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 Super Code use?

Super Code 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 Super Code use?

About 2k tokens (SKILL.md is roughly 7.9k 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 Super Code?

Skills that share tags, products or a category with Super Code: Native Data Fetching (CherryHQ/cherry-studio-app, 4k stars), Android UI Visual Review (permissionlesstech/bitchat-android, 7.7k stars), jscpd Code Migration Tracker (kucherenko/jscpd, 6.3k stars) and Zhihu Pp AI Slop Cleaner (zly2006/zhihu-plus-plus, 4.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Super Code?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.