Skill clean-code
✓ VerifiedMenerapkan standar coding seperti single responsibility, kejelasan penamaan, dan manajemen kompleksitas saat membuat atau memodifikasi kode implementasi.
- Bintang GitHub
- 211
- File
- 2
- Commit terakhir
- 24 Okt 2026
- Lisensi
- MIT
- Tool yang diizinkan
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Apa fungsi skill clean-code?
clean-code adalah agent skill. Menerapkan standar coding seperti single responsibility, kejelasan penamaan, dan manajemen kompleksitas saat membuat atau memodifikasi kode implementasi.
Ringkasan dibuat dari SKILL.md skill ini.
Tentang skill clean-code
Menjaga kualitas implementasi yang tinggi selama proses coding adalah fungsi utama dari SKILL ini. Dirancang untuk developer yang perlu memastikan bahwa setiap unit kode individu mengikuti standar ketat untuk kejelasan penamaan, single responsibility, dan manajemen kompleksitas. SKILL ini dimuat secara otomatis oleh agent khusus seperti code-forge, refactor-safely, dan bug-fix saat pengguna meminta peningkatan kualitas kode atau panduan coding tertentu.
Alih-alih berfokus pada arsitektur luas atau keamanan, tool ini mengatur teknik penulisan fungsi dan variabel spesifik. Tool ini mengandalkan sistem konfigurasi yang membaca .lattice/config.yaml untuk menerapkan standar kustom atau idiom spesifik bahasa untuk error handling dan type systems. SKILL ini menggunakan checklist validasi mandiri untuk memantau ukuran fungsi, cyclomatic complexity, dan jumlah parameter, guna memastikan kode tetap bersifat self-documenting dan mudah diuji. Tool ini juga melakukan pemindaian aktif terhadap anti-patterns seperti deep nesting, penamaan yang kriptik, dan swallowed errors untuk mencegah technical debt masuk ke dalam codebase.
Apa yang bisa dilakukan agent dengannya
- 1Menerapkan single responsibility pada fungsiMinta agent untuk melakukan refactor pada fungsi besar yang melakukan banyak tugas menjadi unit-unit kecil yang lebih fokus.
- 2Mengurangi cyclomatic complexityMinta agent untuk menyederhanakan logika kondisional yang kompleks di dalam blok kode tertentu.
- 3Meningkatkan penamaan variabel dan fungsiInstruksikan AI untuk mengubah nama variabel dan fungsi agar tujuannya jelas tanpa memerlukan komentar tambahan.
Ditulis dari SKILL.md milik skill tersebut. Setiap use case diverifikasi dengan kutipan darinya.
Cara install skill clean-code
Setiap perintah menyalin folder skill ke direktori skills client. Restart client atau mulai sesi baru untuk memuatnya.Install skill clean-code di Plugin
/plugin marketplace add techygarg/lattice /plugin install lattice@lattice
Install skill clean-code di Claude Code
~/.claude/skills/clean-code/SKILL.md
$ npx degit techygarg/lattice/skills/clean-code ~/.claude/skills/clean-codeInstall skill clean-code di Claude Code (project)
.claude/skills/clean-code/SKILL.md
$ npx degit techygarg/lattice/skills/clean-code .claude/skills/clean-codeInstall skill clean-code di Codex
~/.agents/skills/clean-code/SKILL.md
$ npx degit techygarg/lattice/skills/clean-code ~/.agents/skills/clean-codeInstall skill clean-code di Gemini CLI
~/.gemini/skills/clean-code/SKILL.md
$ npx degit techygarg/lattice/skills/clean-code ~/.gemini/skills/clean-codeInstall skill clean-code di Claude.ai
npx degit techygarg/lattice/skills/clean-code clean-code && zip -r clean-code.zip clean-code # claude.ai → Customize → Skills → + → Create skill → Upload a skill → clean-code.zip
Pengecekan otomatis
Berjalan 15 Nov 2026Laporan lengkap →Lolos cek otomatis kami. Ini bukan audit keamanan: baca skripnya sebelum membiarkan agent menjalankannya. Cara kerja checks
- Source repository terhubung dan dapat dijangkautechygarg/lattice/skills/clean-code is public and reachablegithub.com/techygarg/lattice/tree/HEAD/skills/clean-code ↗Lolos
- Lisensi open source (OSI)MITspdx.org/licenses/MIT.html ↗Lolos
- Ada commit atau release dalam satu tahun terakhirLast commit 2026-10-24github.com/techygarg/lattice/commits ↗Lolos
- Skrip tanpa unduh-lalu-jalankan atau pencurian kredensialNo scripts in the skill folderLolos
- Tidak ada instruksi tersembunyi di SKILL.mdNo override phrases, safeguard switches, credential requests or hidden charactersgithub.com/techygarg/lattice/blob/HEAD/skills/clean-code/SKI ↗Lolos
- Tool yang diizinkan otomatis dibatasiNo pre-approved tools; the agent asks before using onegithub.com/techygarg/lattice/blob/HEAD/skills/clean-code/SKI ↗Lolos
- SKILL.md mengikuti format Agent SkillsValid name and description; says when to use it; 65 linesgithub.com/techygarg/lattice/blob/HEAD/skills/clean-code/SKI ↗Lolos
SKILL.md
Lihat di GitHubClean Code
Config Resolution
Projects can customize this skill's standards. Resolution order:
- Read
.lattice/config.yamlin the repo root. - If found, check
paths.clean_codefor a custom document path. - If a custom document exists at that path, read it and check its YAML frontmatter for
mode:mode: override: the custom document has full precedence. Use it instead of the embedded defaults. It must be comprehensive -- treat it as the sole reference.mode: overlay(or no mode field): read the embedded./references/defaults.mdfirst, then apply the custom document's sections on top. A custom section replaces the matching default section (matched by exact heading); new sections append after the defaults.
- If a custom path is configured but no document exists at it → tell the user which configured path is missing, then fall back to
./references/defaults.md. - If there is no config file or no
paths.clean_codekey, read./references/defaults.md. - Language adaptation: if
paths.language_idiomsis set in the config and the document exists, read it and adapt the defaults using these sections:- "Error Handling" → adapt §8 (Error Handling) patterns to the language's idioms. Language idioms take precedence over the pseudocode defaults.
- "Type System & Object Model" → adapt §1 (Single Responsibility) cohesion guidance to the language's constructs (e.g., struct vs class).
- "Naming Conventions" → adapt §4 (Meaningful Naming) patterns to the language's conventions.
- "Parameter & Function Design" → adapt §2 (Small, Focused Functions) and §5 (Parameter Design) to the language's capabilities.
- "Dependency Management" → adapt §9 (Test-Friendly Code) dependency-injection patterns to the language's idioms.
Self-Validation Checklist
STOP after generating each component. Verify ALL checks. Fix every failed check before presenting. Judgment calls → present options (see Ambiguity Signals).
- SINGLE RESPONSIBILITY: Can you describe each function without "and"? If not → extract a separate function.
- SIZE: Is each function under the size threshold from the loaded doc (~20 lines default)? If not → extract a sub-operation into its own named function.
- COMPLEXITY: Is cyclomatic complexity under the threshold from the loaded doc (~10 default)? If not → flatten with a guard clause or extract a branch.
- ABSTRACTION LEVEL: Does each function operate at one level of abstraction? If high-level logic mixes with low-level detail → extract the detail.
- NAMING: Does each function/variable name reveal intent without needing surrounding context? If not → rename to be self-documenting.
- PARAMETERS: Is the parameter count under the threshold from the loaded doc (4 default)? If not → group parameters into an object.
- PRIMITIVE OBSESSION: Would a string/number/boolean be clearer as a named type? If so → introduce a parameter object or typed wrapper.
- ERROR HANDLING: Does every fail-able operation have explicit handling with an actionable message? Is it handled at the right level?
Project-specific checks: if the loaded doc (from Config Resolution) contains a Validation Checklist section (§10 from the clean-code-refiner template), apply those checks as additional project-specific validation after the checklist above.
All checks pass → state "Passes clean-code. [next step]."
Active Anti-Pattern Scan
After the checklist, scan for each of these. Any box you can check → fix before presenting.
- God Function: a function exceeds ~30 lines doing multiple things; describing it requires "and" → extract focused functions.
- Deep Nesting: three or more levels of indentation → flatten with early returns / guard clauses.
- Cryptic Naming: variables like
d,tmp2,processData→ rename to reveal intent. - Long Parameter Lists: five or more parameters → group into an object or split the function.
- Premature Abstraction: a utility extracted from only two similar blocks → inline it until the Rule of Three (third instance with the same reason to change).
- Swallowed Errors: empty catch blocks, generic "something went wrong" messages, silent null returns → handle explicitly.
- Comments as Deodorant: a comment explains convoluted code instead of the code being fixed → rename to self-document; keep only "why" comments, remove "what" comments.
- Hidden Side Effects: a function named
getXalso writes a cache or sends notifications → rename or separate the concern. - Dead Code: commented-out blocks, unused imports, unreachable branches → delete them (version control preserves history).
- Untestable Logic: side effects tangled with business logic; unit testing requires mocking I/O → push side effects to the boundary, extract pure functions, inject dependencies.
Ambiguity Signals
Multiple valid outcomes exist. Present the options rather than silently choosing. If framework:collaborative-judgment is loaded, use its presentation format. See ./references/defaults.md for resolution guidance on each signal below.
- Single Responsibility: two tightly-coupled sequential operations may be one responsibility (a pipeline), not two. The "and" test catches true violations AND false positives.
- Function Size: near-threshold size (20–30 lines) with one clear purpose -- extraction may create five unclear smaller functions. Present the tradeoff.
- DRY vs Premature Abstraction: two identical blocks may serve different purposes and diverge independently. Until a third instance with the same reason to change appears, this is genuinely ambiguous.
- Error Handling Strategy: exception vs Result type vs error codes depends on language idiom and team convention, not on universal rules.
Berkas dalam skill ini
2Pertanyaan seputar skill clean-code
Bagaimana cara install skill clean-code di Claude Code?
Jalankan npx degit techygarg/lattice/skills/clean-code ~/.claude/skills/clean-code. Claude Code memuat skill dari ~/.claude/skills (semua proyek) atau .claude/skills (satu proyek) dan menggunakan skill saat deskripsinya cocok dengan tugas.
Client mana saja yang bisa menggunakan skill clean-code?
Client apa pun yang membaca format Agent Skills: Claude Code, Codex, Gemini CLI, dan claude.ai (unggah sebagai ZIP). Script dalam skill hanya berjalan di client yang mengizinkan eksekusi kode.
Berapa ambang batas default untuk ukuran dan kompleksitas fungsi?
Secara default, fungsi harus di bawah kurang lebih 20 baris dan menjaga cyclomatic complexity di bawah kurang lebih 10.
Bagaimana cara proyek menyesuaikan standar clean code?
Proyek dapat menyesuaikan standar dengan menentukan path dokumen kustom di .lattice/config.yaml, menggunakan mode 'override' untuk prioritas penuh atau mode 'overlay' untuk melengkapi standar default.