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。
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.
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。
実行スコア 未検証
インストール方法を見る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。
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zero-to-prod-orchestrator (Phase 7-8 lifecycle), session-memory-manager (checkpoint sentinel state), brainstorming.cron-scheduler-expert (app-level cron vs agent-native schedule tool), parallel-tool-orchestrator (concurrent polling jobs).self-healing-cloud-orchestrator (auto-patch upon anomaly detection), logging-error-tracking-expert (Sentry/Pino trace alerts).ci-cd-devops-architect (pipeline completion checks), cloud-hosting-expert (Vercel/Railway build state).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
│
├─► 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').<a name="bahasa-indonesia"></a>
zero-to-prod-orchestrator (Siklus Fase 7-8), session-memory-manager (checkpoint status sentinel), brainstorming.cron-scheduler-expert (cron aplikasi vs tool schedule native agen), parallel-tool-orchestrator (job polling konkuren).self-healing-cloud-orchestrator (patch otomatis saat anomali), logging-error-tracking-expert (alert trace Sentry/Pino).ci-cd-devops-architect (pemeriksaan penyelesaian pipeline), cloud-hosting-expert (status build Vercel/Railway).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').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。
ログインなしで書き込めます。使ってみた感想、質問、動かなかった環境などを気軽にどうぞ。
まだコメントはありません。最初のコメントを書いてみませんか。
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。