Expert guide for automated and manual Web Accessibility (a11y) testing — axe-core, Pa11y, Playwright a11y, screen reader testing, and WCAG 2.2 Level AA/AAA compliance / Panduan ahli pengujian aksesibilitas web.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for multi-pass autonomous AI code self-review — syntax validation, logic correctness, architectural conformance, security audit, and performance analysis without external tooling — enabling the agent to catch its own errors before presenting code / Panduan ahli review kode otonom multi-pass oleh AI — validasi sintaks, kebenaran logika, konformitas arsitektur, audit keamanan, dan analisis performa tanpa tooling eksternal — memungkinkan agen menangkap errornya sendiri sebelum menampilkan kode.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
<a name="english"></a>
Connects and orchestrates with anti-slop, coderabbit, autonomous-tdd-debugger, scalability-clean-code, production-ready-hardener, autonomous-red-teamer, typescript-expert, zero-tech-debt-auditor, living-codebase-ast-graph, and formal-spec-z3-verifier to enforce comprehensive code quality across all generated output.
A structured multi-pass self-review protocol that the AI agent executes on its own generated code before presenting it to the user. Each pass focuses on a distinct quality dimension — syntax correctness, business logic validation, architectural conformance, security vulnerabilities, and performance characteristics. This eliminates the most common AI code generation failure: confidently presenting broken or insecure code because the model never re-read what it wrote.
Activate this skill when:
zero-to-prod-orchestrator.GENERATED CODE
│
▼
┌──────────────────┐
│ PASS 1: SYNTAX │ Does this code compile/parse without errors?
│ │ - Type correctness (TypeScript strict mode)
│ │ - Import resolution (no phantom imports)
│ │ - JSX/HTML well-formedness
│ │ - Missing semicolons, brackets, parentheses
└──────┬───────────┘
│
▼
┌──────────────────┐
│ PASS 2: LOGIC │ Does this code do what it's supposed to do?
│ │ - Edge cases (null, empty, boundary values)
│ │ - Off-by-one errors in loops/slicing
│ │ - Async/await correctness (missing awaits)
│ │ - State mutation side effects
│ │ - Race conditions in concurrent code
└──────┬───────────┘
│
▼
┌──────────────────┐
│ PASS 3: ARCH │ Does this code fit the project's architecture?
│ │ - Follows established patterns (DDD, MVC, etc.)
│ │ - Uses existing utility functions, not duplicates
│ │ - Respects separation of concerns
│ │ - Consistent with existing naming conventions
│ │ - No circular dependencies introduced
└──────┬───────────┘
│
▼
┌──────────────────┐
│ PASS 4: SECURITY │ Is this code safe in production?
│ │ - SQL injection (parameterized queries?)
│ │ - XSS (user input sanitized before render?)
│ │ - Auth bypass (route protection verified?)
│ │ - Secret exposure (no hardcoded keys/tokens)
│ │ - IDOR (authorization checked per resource?)
└──────┬───────────┘
│
▼
┌──────────────────┐
│ PASS 5: PERF │ Will this code perform at scale?
│ │ - N+1 query patterns in ORM calls
│ │ - Unbounded array/list operations
│ │ - Missing pagination on list endpoints
│ │ - Memory leaks (unclosed streams, listeners)
│ │ - Unnecessary re-renders in React components
└──────┬───────────┘
│
▼
REVIEWED CODE → Present to User
After generating code, the agent internally executes this checklist:
SELF-REVIEW CHECKLIST for [filename]:
PASS 1 — SYNTAX:
□ All imports resolve to real modules/packages that exist in the project
□ TypeScript types are correct — no `any` unless explicitly justified
□ All brackets, parentheses, and JSX tags are balanced
□ No unreachable code after return/throw statements
PASS 2 — LOGIC:
□ Function handles null/undefined inputs gracefully
□ Array operations handle empty arrays
□ Async functions are properly awaited at call sites
□ Error paths return meaningful error messages, not silent failures
□ Loop/index boundaries are correct (no off-by-one)
PASS 3 — ARCHITECTURE:
□ New code uses existing project utilities (not reimplementing)
□ File location follows project's directory convention
□ Naming follows project's established patterns
□ No circular imports introduced
□ Single Responsibility Principle maintained
PASS 4 — SECURITY:
□ User input is validated/sanitized before use
□ Database queries use parameterized statements
□ API endpoints check authentication and authorization
□ No secrets, keys, or tokens in source code
□ CORS and CSP headers are correctly configured
PASS 5 — PERFORMANCE:
□ Database queries avoid N+1 patterns (use joins/includes)
□ List endpoints have pagination
□ React components are memoized where appropriate
□ No unbounded memory growth patterns
□ Event listeners are cleaned up on unmount
When changes span multiple files, verify:
interface CrossFileCheck {
importConsistency: boolean; // Do all imports reference the correct export names?
typeContractAlignment: boolean; // Do function signatures match their call sites?
schemaSync: boolean; // Do DB schema changes propagate to ORM models and API types?
routeRegistration: boolean; // Are new routes registered in the router?
envVarRegistration: boolean; // Are new env vars documented in .env.example?
}
| Severity | Definition | Action |
|---|---|---|
| P0 — Blocker | Code won't compile, runtime crash, data loss, security vulnerability | Fix immediately before presenting |
| P1 — Critical | Logic error in core business path, missing error handling | Fix before presenting |
| P2 — Major | Architectural violation, performance regression, accessibility gap | Flag and fix in same turn |
| P3 — Minor | Style inconsistency, suboptimal pattern, missing comment | Fix silently without flagging |
| Anti-Pattern | Consequence | Remedy |
|---|---|---|
| Skipping self-review for "simple" changes | Simple changes cause cascading failures | Every change gets at least Pass 1-2 |
| Phantom imports (hallucinated module names) | Runtime ModuleNotFoundError | Verify every import exists in project |
Missing await on async calls | Silent data corruption or race conditions | Trace every async call chain |
| Assuming happy path only | Crashes on null/empty/error inputs | Explicitly handle edge cases |
anti-slop — Enforce zero placeholder content, dead code, and syntax narration in reviewed output.autonomous-tdd-debugger — After self-review, execute tests to verify the code actually works.coderabbit — For team-facing PR reviews, complement self-review with external automated review.production-ready-hardener — Apply self-review as a pre-deployment quality gate.typescript-expert — Validate TypeScript strict mode compliance during Pass 1.brainstorming — Added to "Testing & Security" matrix row.zero-to-prod-orchestrator — Integrated in Phase 6 (Automated Testing, Error Resilience & Security Audit).<a name="bahasa-indonesia"></a>
Terhubung dan mengorkestrasi dengan anti-slop, coderabbit, autonomous-tdd-debugger, scalability-clean-code, production-ready-hardener, autonomous-red-teamer, typescript-expert, zero-tech-debt-auditor, living-codebase-ast-graph, dan formal-spec-z3-verifier untuk menegakkan kualitas kode komprehensif di seluruh output yang dihasilkan.
Protokol self-review terstruktur multi-pass yang dieksekusi agen AI terhadap kode yang dihasilkannya sendiri sebelum ditampilkan ke pengguna. Setiap pass fokus pada dimensi kualitas yang berbeda — kebenaran sintaks, validasi logika bisnis, konformitas arsitektur, kerentanan keamanan, dan karakteristik performa. Mengeliminasi kegagalan paling umum generasi kode AI: menyajikan kode rusak atau tidak aman dengan percaya diri karena model tidak pernah membaca ulang apa yang ditulisnya.
Aktifkan skill ini ketika:
Lima pass berurutan: Sintaks (kompilasi/parse), Logika (edge case, async, state), Arsitektur (pola, konvensi, SRP), Keamanan (SQL injection, XSS, auth bypass), dan Performa (N+1, pagination, memory leak).
P0 Blocker: perbaiki segera. P1 Critical: perbaiki sebelum ditampilkan. P2 Major: tandai dan perbaiki di giliran yang sama. P3 Minor: perbaiki tanpa menandai.
anti-slop — Tegakkan nol placeholder, kode mati, dan narasi sintaks.autonomous-tdd-debugger — Setelah self-review, jalankan tes untuk verifikasi.coderabbit — Untuk review PR tim, lengkapi self-review dengan review otomatis eksternal.typescript-expert — Validasi kepatuhan TypeScript strict mode pada Pass 1.brainstorming — Ditambahkan ke baris "Testing & Security" pada Matriks Orkestrasi.zero-to-prod-orchestrator — Diintegrasikan di Fase 6 (Automated Testing, Error Resilience & Security Audit).まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Expert guide for automated and manual Web Accessibility (a11y) testing — axe-core, Pa11y, Playwright a11y, screen reader testing, and WCAG 2.2 Level AA/AAA compliance / Panduan ahli pengujian aksesibilitas web.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for intelligent model cascading and routing — complexity-scored task routing from Flash/Haiku to Sonnet/Opus/Astra, dynamic escalation with quality gates, 40-60% token cost reduction while maintaining output quality / Panduan ahli untuk kaskade dan routing model cerdas — routing tugas berbasis skor kompleksitas dari Flash/Haiku ke Sonnet/Opus/Astra, eskalasi dinamis dengan gerbang kualitas, pengurangan biaya token 40-60% dengan kualitas output terjaga.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for Affective Computing, emotional AI, and real-time sentiment analysis through native multimodal tokens (voice intonation and facial micro-expressions) / Panduan ahli komputasi afektif, AI emosional, dan analisis sentimen real-time melalui token multimodal native.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for AI-assisted coding workflows — agentic code generation, multi-agent code swarms, self-healing CI/CD, automated PR review, spec-to-code pipelines, codebase knowledge graphs, and human-in-the-loop approval gates / Panduan ahli untuk workflow pengkodean berbasis AI — generasi kode agentic, code swarm multi-agen, CI/CD self-healing, review PR otomatis, pipeline spec-to-code, knowledge graph codebase, dan gate persetujuan human-in-the-loop.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for long-term episodic memory integration (Mem0 v2, Letta/MemGPT, Zep v2), memory tier architecture, pgvector HNSW storage, and unified context management for autonomous AI agents / Panduan ahli untuk integrasi memori episodik jangka panjang (Mem0 v2, Letta/MemGPT, Zep v2), arsitektur tier memori, penyimpanan pgvector HNSW, dan manajemen konteks terpadu untuk agen AI otonom.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for designing Machine-to-Machine (M2M) micro-economies, autonomous agent wallets, and swarm budget allocation / Panduan ahli merancang ekonomi mikro antar-agen (M2M), dompet agen otonom, dan alokasi anggaran swarm.
日本語の概要は準備中です。原文の説明を表示しています。