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Ops Monitor Skill for Claude

by davepoon

Unified APM and monitoring surface. Polls Datadog, New Relic, and OpenTelemetry backends for active alerts, error traces, and entity health. Use --watch for live polling every 60 seconds. Use --setup to configure monitoring credentials.

2k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
3248
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/davepoon/buildwithclaude --skill ops-monitor

What it tells the agent to use

found in the instruction text
Task spawns other agents

The instruction itself

8 sections, as written by the author

Runtime Context

PREFS="${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json"
DD_API_KEY=$(jq -r '.datadog_api_key // empty' "$PREFS" 2>/dev/null)
NR_API_KEY=$(jq -r '.newrelic_api_key // empty' "$PREFS" 2>/dev/null)
OTEL_ENDPOINT=$(jq -r '.otel_endpoint // empty' "$PREFS" 2>/dev/null)

Determine $ARGUMENTS mode:

  • Contains --setup → run Setup flow
  • Contains --watch → run Watch mode
  • Otherwise → run Default health check

OPS ► MONITOR

Setup flow (--setup)

Ask which backends to configure:

Which monitoring backends would you like to configure?
[Datadog]  [New Relic]  [OpenTelemetry]  [All three]

For each selected backend, collect credentials via AskUserQuestion free-text input (one at a time, ≤4 options per call):

Datadog:

  • datadog_api_key — API Key from app.datadoghq.com/organization-settings/api-keys
  • datadog_app_key — Application Key from app.datadoghq.com/organization-settings/application-keys

New Relic:

  • newrelic_api_key — User API Key from one.newrelic.com/api-keys
  • newrelic_account_id — Numeric Account ID from New Relic admin portal

OpenTelemetry:

  • otel_endpoint — Base URL of your OTEL-compatible backend (e.g., https://otlp.grafana.net)

Write each credential to preferences.json using atomic tmpfile swap:

tmp=$(mktemp)
jq --arg k "$KEY" --arg v "$VALUE" '.[$k] = $v' "$PREFS" > "$tmp" && mv "$tmp" "$PREFS"

Run smoke test after saving:

  • Datadog: curl -sf -H "DD-API-KEY: $DD_API_KEY" -H "DD-APPLICATION-KEY: $DD_APP_KEY" "https://api.datadoghq.com/api/v1/validate" → expect {"valid": true}
  • New Relic: curl -sf -H "Api-Key: $NR_API_KEY" "https://api.newrelic.com/graphql" -d '{"query":"{ actor { user { name } } }"}' → expect data.actor.user
  • OTEL: curl -sf "$OTEL_ENDPOINT/healthz" → expect HTTP 200

Report ✅ or ❌ with status for each backend.

Agent Teams support

If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when querying multiple backends simultaneously. This enables:

  • Backend probes run in parallel with shared context (e.g., Datadog agent detects latency spike → OTEL agent can correlate with traces)
  • You can steer: "focus on Datadog alerts first, then cross-reference with New Relic"
  • Real-time progress: agents report per-backend as results arrive

Team setup (only when flag is enabled, multiple backends configured):

TeamCreate("monitor-probes")
Agent(team_name="monitor-probes", name="datadog-probe", subagent_type="ops:monitor-agent", ...)
Agent(team_name="monitor-probes", name="newrelic-probe", subagent_type="ops:monitor-agent", ...)
Agent(team_name="monitor-probes", name="otel-probe", subagent_type="ops:monitor-agent", ...)

If the flag is NOT set or only one backend is configured, use a single monitor-agent subagent.

Default health check (no flags)

Spawn monitor-agent via the Agent tool. Display the result as a formatted dashboard:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 OPS ► MONITOR                       [<timestamp>]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 DATADOG      ✅ healthy (0 alerts)
 NEW RELIC    🔴 2 critical entities
 OTEL         ✅ healthy
──────────────────────────────────────────────────────
 Total alerts: 2   Severity: CRITICAL

Status icons:

  • ✅ — healthy (0 alerts / configured and reachable)
  • ⚠️ — warning (warn-level alerts present)
  • 🔴 — critical (critical alerts or unreachable)
  • ⬜ — not configured

For each alert or critical entity, display: service name, alert name, and link to the relevant dashboard.

If no backends are configured, show a setup prompt:

No monitoring backends configured. Run /ops:monitor --setup to add Datadog, New Relic, or OTEL.

Watch mode (--watch)

Poll every 60 seconds. On each tick:

while true; do
  RESULT=$(# spawn monitor-agent and capture JSON output)
  # Diff against previous tick
  # Print: timestamp, changed items only
  # 🆕 new alert: <name>
  # ✅ resolved: <name>
  sleep 60
done

Exit on Ctrl-C.

--backend filter

If --backend datadog|newrelic|otel is specified, query and display only that backend.

CLI/API Reference

| Backend | Auth header | Base URL | Health endpoint |

|-------------|------------------------------------------------|---------------------------------|------------------------|

| Datadog | DD-API-KEY: $key + DD-APPLICATION-KEY: $app_key | https://api.datadoghq.com | /api/v1/validate |

| New Relic | Api-Key: $key | https://api.newrelic.com/graphql | POST GraphQL query |

| OTEL | varies by backend | $OTEL_ENDPOINT | /healthz |

# Datadog — active alerts
curl -sf \
  -H "DD-API-KEY: ${DD_API_KEY}" \
  -H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \
  "https://api.datadoghq.com/api/v1/monitor?monitor_tags=*&with_downtimes=false" \
  | jq '[.[] | select(.overall_state == "Alert" or .overall_state == "Warn")]'

# New Relic — critical entities (GraphQL)
curl -sf \
  -H "Api-Key: ${NR_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{"query":"{ actor { entitySearch(queryBuilder: {alertSeverity: CRITICAL}) { results { entities { name alertSeverity entityType } } } } }"}' \
  "https://api.newrelic.com/graphql"

# OTEL — health check
curl -sf "${OTEL_ENDPOINT}/healthz"

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How to use it

Copy the folder

Take davepoon/ops-monitor from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.