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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Grants the AI the ability to act proactively using native cron/timer scheduling. The agent can monitor systems, poll APIs, or watch logs in the background and self-trigger without waiting for user prompts.
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Standard LLM chat sessions are strictly reactive—they remain dormant until the user submits a prompt. This skill unlocks proactive agency. Utilizing the runtime's native schedule tool (one-shot timers and recurring cron schedules), the agent can autonomously monitor background build pipelines, poll health endpoints, inspect server logs, or track deployment state machines. When an anomaly occurs or a long-running job finishes, the agent wakes up autonomously to diagnose, notify, or remediate without waiting for human prompting.
User Prompt: "Run migrations and alert me when complete"
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1. Launch Background Task (run_command with WaitMsBeforeAsync=500)
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2. Register Sentinel Timer via `schedule`
(DurationSeconds=120, Prompt="Check migration task status", TimerCondition="task-id")
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3. Agent Ends Turn (System enters reactive sleep state)
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4. Autonomous Wakeup on Timer Expiration or Task Completion
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├─► Success ──► Synthesize artifact & notify user
└─► Error ──► Trigger `autonomous-tdd-debugger` or `self-healing-cloud-orchestrator`
// Schedule tool call arguments
{
"DurationSeconds": "180",
"Prompt": "Audit background migration task-42. Verify exit code and schema integrity.",
"TimerCondition": "task-42",
"toolSummary": "Migration watcher timer",
"toolAction": "Scheduling watchdog timer"
}
// Schedule tool call arguments
{
"CronExpression": "*/10 * * * *",
"MaxIterations": "6",
"IsDaemon": true,
"Prompt": "Poll /api/health and report error budget violations > 0.5% in HEALTH_LOG.md",
"toolSummary": "Health monitor cron",
"toolAction": "Setting up 10-minute health check"
}
schedule so the awakened model has instant context without re-reading past history.manage_task (Action: 'kill').cron-scheduler-expert: Provides application-level cron scheduling, while this skill manages agent-native runtime timers.self-healing-cloud-orchestrator: Awakens self-healing agents when crash metrics are discovered during background polling.ci-cd-devops-architect: Monitors deployment pipelines and automated release status.session-memory-manager: Persists sentinel status across extended multi-turn sessions.<a name="bahasa-indonesia"></a>
Sesi obrolan LLM standar bersifat sepenuhnya reaktif—hanya merespons saat pengguna mengetik instruksi. Skill ini memberikan kemampuan proaktif (Sentinel). Memanfaatkan tool schedule native (timer satu-kali atau cron berkala), agen dapat secara mandiri memantau proses build, melakukan polling pada health check API, memeriksa log server, atau memantau proses migrasi database di latar belakang. Jika terjadi error atau proses panjang selesai, agen akan "bangun" sendiri untuk menganalisis, melapor, atau melakukan perbaikan otomatis tanpa menunggu instruksi manual.
Instruksi: "Jalankan migrasi di background dan kabari jika selesai"
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1. Jalankan Perintah Background (run_command dengan timeout pendek)
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2. Pasang Alarm Timer Sentinel via tool `schedule`
(DurationSeconds=120, Prompt="Cek status migrasi task-id", TimerCondition="task-id")
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3. Agen Istirahat (Akhiri giliran tool, sistem masuk mode hemat sumber daya)
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4. Agen Bangun Otomatis saat Alarm Berbunyi atau Task Selesai
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├─► Sukses ──► Tulis status di CHECKPOINT.md & beri tahu user
└─► Gagal ──► Picu `autonomous-tdd-debugger` untuk memperbaiki error
// Contoh konfigurasi tool schedule untuk memantau deployment
{
"DurationSeconds": "300",
"Prompt": "Periksa status deployment di Vercel. Jika gagal, baca log error dan siapkan hotfix.",
"TimerCondition": "never",
"toolSummary": "Pemantau deployment",
"toolAction": "Menjadwalkan alarm sentinel"
}
Prompt di tool schedule agar agen yang terbangun langsung memahami tugas tanpa perlu membaca ulang seluruh riwayat.manage_task (Action: 'kill').cron-scheduler-expert: Mengatur cron pada level aplikasi, sedangkan skill ini mengatur timer pada level runtime agen AI.self-healing-cloud-orchestrator: Menerima eskalasi otomatis ketika watcher menemukan anomali pada log.ci-cd-devops-architect: Memantau kelulusan pipeline CI/CD di GitHub Actions atau Vercel.session-memory-manager: Mencatat status watcher ke dalam CHECKPOINT.md.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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.