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.
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Autonomous orchestrator that scans, refactors, and eradicates technical debt at the end of the development lifecycle to achieve a Zero Debt codebase / Orkestrator otonom untuk menghapus utang teknis sebelum rilis.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
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Autonomous orchestrator that scans, refactors, and eradicates technical debt at the end of the development lifecycle to achieve a "Zero Debt" codebase before production release.
CRITICAL RULE: Applications are NOT considered "Production-Ready" until they pass the Zero Technical Debt (Zero Debt) audit. This skill must be invoked at the final stage of development.
Technical debt slows down future scaling. The zero-tech-debt-auditor acts as an autonomous SonarQube. It does not just report issues; it fixes them autonomously.
package.json and remove any library that is not actively imported.any or @ts-ignore and replace them with strict Zod schemas, discriminated unions, or generic types.const timeout = 5000;).constants.ts) or environment variables (process.env).When triggered, the Swarm Director must:
src directory.TECH_DEBT_REPORT.md (Artifact) listing the violations found.npm run lint and npm run build to ensure the eradications did not break the app.{
"$schema": "https://unpkg.com/knip@5/schema.json",
"entry": ["src/index.ts", "src/cli.ts"],
"project": ["src/**/*.ts", "src/**/*.tsx"],
"ignoreDependencies": ["@types/*"]
}
#!/usr/bin/env bash
set -euo pipefail
echo "🧹 Running Zero Technical Debt Quality Sweeps..."
# 1. Detect unused exports, dead files, and unlisted dependencies
npx knip --production
# 2. Strict type-safety scan (fail on 'any' or '@ts-ignore')
npx tsc --noEmit --strict
# 3. Enforce Sovereign Anti-Slop Directive
node scripts/check-anti-slop.js --strict
echo "✅ Zero Technical Debt Audit Passed: Codebase is 100% production-ready."
zero-to-prod-orchestrator: Acts as Phase 9 (Final Handoff).biome-linter-formatter-expert: Uses strict linting rules to enforce consistency.autonomous-tdd-debugger: Fixes any tests broken during the refactoring process.<a name="bahasa-indonesia"></a>
Orkestrator otonom yang memindai, melakukan refactoring, dan menghapus utang teknis (technical debt) di akhir siklus hidup pengembangan untuk mencapai basis kode "Zero Debt" sebelum rilis ke produksi.
ATURAN KRUSIAL: Aplikasi TIDAK dianggap "Siap Produksi" sampai lulus audit Zero Technical Debt. Skill ini wajib dijalankan pada tahap akhir pengembangan.
Utang teknis memperlambat skalabilitas masa depan. zero-tech-debt-auditor bertindak seperti SonarQube otonom. Bukan hanya melaporkan masalah, melainkan memperbaikinya secara otonom.
package.json dan hapus dependensi yang tidak pernah diimpor.any atau @ts-ignore dan ganti dengan skema Zod, discriminated unions, atau tipe generic yang ketat.constants.ts) atau variabel lingkungan (process.env).src.TECH_DEBT_REPORT.md yang merinci pelanggaran yang ditemukan.zero-to-prod-orchestrator: Bertindak sebagai Fase 9 (Serah Terima Akhir).biome-linter-formatter-expert: Memakai aturan linting ketat untuk menjaga konsistensi.autonomous-tdd-debugger: Memperbaiki pengujian yang terganggu selama proses refactoring.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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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.
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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.
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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.
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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.
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Expert guide for autonomous Machine-to-Machine (M2M) agent settlement, dual-rail fiat & stablecoin micro-clearing, dynamic budget envelopes, and cryptographic agent invoicing / Panduan ahli settlement otonom antar-agen (M2M), kliring mikro dual-rail fiat & stablecoin, pagu anggaran dinamis, dan penagihan agen kriptografis.
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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.
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