Skills Plugins MCP Prompt Model 博客 我的中心

dd-monitors

Monitor management - list, search, file-based create, and alerting best practices.

DeepseekModel キュレーション済みスキル 品質 優秀 · 78 v1.0.0

取得

https://deepseekmodel.com/api/download.php?id=datadog-labs-agent-skills-dd-monitors-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name dd-monitors description Monitor management - list, search, file-based create, and alerting best practices. metadata {"version":"1.0.1","author":"datadog-labs","repository":"https://github.com/datadog-labs/agent-skills","tags":"datadog,monitors,alerting,alerts,dd-monitors","globs":"**/datadog*.yaml,**/*monitor*","alwaysApply":"false"} Datadog Monitors Create, manage, and maintain monitors for alerting. Prerequisites This requires pup in your path. See Setup Pup . Command Execution Order (Token-Efficient) For scoped commands, use this order: Check context first (prior outputs, conversation, saved values). If a required value is missing, run a discovery command first. If still ambiguous, ask the user to confirm. Then run the target command. Avoid speculative commands likely to fail. Quick Start pup auth login Common Operations List Monitors pup monitors list pup monitors list --tags "team:platform" Get Monitor pup monitors get < id > Create Monitor pup monitors create --file monitor.json Silence Alerts (Downtime) # No pup monitors mute/unmute commands. # Use downtime payloads to silence monitor notifications. pup downtime create --file downtime.json pup downtime cancel <downtime_id> Monitor Creation Best Practices 1. Avoid Alert Fatigue Rule Why No flapping alerts Use last_Xm not last_1m Meaningful thresholds Based on SLOs, not guesses Actionable alerts If no action needed, don't alert Include runbook @runbook-url in message # WRONG - will flap constantly query = "avg(last_1m):avg:system.cpu.user{*} > 50" # ❌ Too sensitive # CORRECT - stable alerting query = "avg(last_5m):avg:system.cpu.user{env:prod} by {host} > 80" # ✅ Reasonable window 2. Use Proper Scoping # WRONG - alerts on everything query = "avg(last_5m):avg:system.cpu.user{*} > 80" # ❌ No scope # CORRECT - scoped to what matters query = "avg(last_5m):avg:system.cpu.user{env:prod,service:api} by {host} > 80" # ✅ 3. Set Recovery Thresholds monitor = { "query" : "avg(last_5m):avg:system.cpu.user{env:prod} > 80" , "options" : { "thresholds" : { "critical" : 80 , "critical_recovery" : 70 , # ✅ Prevents flapping "warning" : 60 , "warning_recovery" : 50 } } } 4. Include Context in Messages message = """ ## High CPU Alert Host: {{host.name}} Current Value: {{value}} Threshold: {{threshold}} ### Runbook 1. Check top processes: `ssh {{host.name}} 'top -bn1 | head -20'` 2. Check recent deploys 3. Scale if needed @slack-ops @pagerduty-oncall """ NEVER Delete Monitors Directly Use safe deletion workflow (same as dashboards): def safe_mark_monitor_for_deletion ( monitor_id: str , client ) -> bool : """Mark monitor instead of deleting.""" monitor = client.get_monitor(monitor_id) name = monitor.get( "name" , "" ) if "[MARKED FOR DELETION]" in name: print ( f"Already marked: {name} " ) return False new_name = f"[MARKED FOR DELETION] {name} " client.update_monitor(monitor_id, { "name" : new_name}) print ( f"✓ Marked: {new_name} " ) return True Monitor Types Type Use Case metric alert CPU, memory, custom metrics query alert Complex metric queries service check Agent check status event alert Event stream patterns log alert Log pattern matching composite Combine multiple monitors apm APM metrics Audit Monitors # Find monitors without owners pup monitors list | jq '.[] | select(.tags | contains(["team:"]) | not) | {id, name}' # Find noisy monitors (high alert count) pup monitors list | jq 'sort_by(.overall_state_modified) | .[:10] | .[] | {id, name, status: .overall_state}' Downtime vs Muting Use When Downtime Any planned silence window Monitor edit Query/threshold behavior changes # Downtime (preferred) pup downtime create --file downtime.json Failure Handling Problem Fix Alert not firing Check query returns data, thresholds Too many alerts Increase window, add recovery threshold No data alerts Check agent connectivity, metric exists Auth error pup auth refresh References Monitor Types Alerting Best Practices SLO Monitors
このスキルを起動するキーワード。クリックでコピーできます。

このスキルにはトリガーワードがありません。

ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
同じスキルを各プラットフォーム形式で出力できます。
.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。