A2A agent protocol interoperability, Agent Cards, and MCP bridging / Protokol agen A2A, Agent Cards, dan integrasi MCP.
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.
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。
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anti-slop, coderabbit, zero-tech-debt-auditorautonomous-tdd-debugger, property-mutation-testing-expert, formal-spec-z3-verifierautonomous-red-teamer, prompt-injection-firewallscalability-clean-code, living-codebase-ast-graph, typescript-expertbrainstorming, zero-to-prod-orchestrator, production-ready-hardenerA 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 |
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anti-slop, coderabbit, zero-tech-debt-auditorautonomous-tdd-debugger, property-mutation-testing-expert, formal-spec-z3-verifierautonomous-red-teamer, prompt-injection-firewallscalability-clean-code, living-codebase-ast-graph, typescript-expertbrainstorming, zero-to-prod-orchestrator, production-ready-hardenerProtokol 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.
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A2A agent protocol interoperability, Agent Cards, and MCP bridging / Protokol agen A2A, Agent Cards, dan integrasi MCP.
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 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。
Web accessibility testing with axe-core, Playwright, and WCAG 2.2 / Pengujian aksesibilitas web axe-core, Playwright, dan WCAG 2.2.
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。
Model cascading & complexity-scored routing (Grok, Gemini, Claude) / Routing kaskade model & scoring kompleksitas (Grok, Gemini, Claude).
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。
Affective computing, emotion AI, and multimodal sentiment analysis / Komputasi afektif, AI emosional, dan analisis sentimen multimodal.
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。