OPS ► FIRES

SkillMonitoring & ops

Production incidents dashboard. Reads ECS health, Sentry errors, CI failures. Offers to dispatch fix agents for active fires.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the OPS ► FIRES skill

What this skill tells your AI

The instructions your AI receives, as published by davepoon/buildwithclaude in plugins/claude-ops/skills/ops-fires/SKILL.md and read by ahel’s review.

Runtime Context

Before executing, load available context:

  1. Daemon health: Read ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/daemon-health.json

    • Check infra-monitor service status — if not running, pre-gathered infra data may be stale
    • If action_needed is not null → surface it immediately as a potential fire
  2. Secrets: AWS credentials are required for ECS/CloudWatch queries.

    Secret Resolution

    • First: check $AWS_ACCESS_KEY_ID / $AWS_PROFILE env vars
    • Then: doppler secrets get AWS_ACCESS_KEY_ID --plain (if doppler configured in prefs)
    • Then: use password_manager_config.query_cmd from preferences
    • Sentry token: $SENTRY_AUTH_TOKEN → Doppler SENTRY_AUTH_TOKEN → vault
  3. Preferences: Read ${CLAUDE_PLUGIN_DATA_DIR}/preferences.json for secrets_manager config to know which vault to query.

CLI/API Reference

aws CLI

CommandUsageOutput
aws ecs list-services --cluster <name> --query 'serviceArns'ECS servicesARN list
aws ecs describe-services --cluster <name> --services <arn> --query 'services[0].{status:status,running:runningCount,desired:desiredCount}'Service healthJSON
aws logs tail /ecs/<service> --since 1h --format shortECS logsLog lines (use with Monitor for live)

gh CLI (GitHub)

CommandUsageOutput
gh run list --limit 20 --json status,conclusion,name,headBranch,createdAtRecent CI runsJSON array
gh run view <id> --repo <repo> --log-failedFailed CI logsLog output

sentry-cli / Sentry API

CommandUsageOutput
sentry-cli issues list --project <slug> --status unresolvedUnresolved issuesIssue list
curl -H "Authorization: Bearer $SENTRY_AUTH_TOKEN" "https://sentry.io/api/0/projects/<org>/<proj>/issues/?query=is:unresolved"API fallback when MCP unavailableJSON array

Agent Teams support

If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when dispatching multiple fix agents simultaneously. This enables:

  • Fix agents share findings (e.g., API agent discovers DB is the root cause → infra agent pivots to DB fix)
  • You can prioritize: "CRITICAL ECS issue first, then CI failures"
  • Real-time progress: agents report as they find root causes, you can merge fixes in optimal order

Team setup (only when flag is enabled, dispatch phase):

TeamCreate("fire-fixers")
Agent(team_name="fire-fixers", name="fix-[service]", ...)

If the flag is NOT set, use standard parallel subagents.

Pre-gathered infrastructure data

${CLAUDE_PLUGIN_ROOT}/bin/ops-infra 2>/dev/null || echo '{"clusters":[],"error":"infra check failed"}'

CI failures (last 24h)

${CLAUDE_PLUGIN_ROOT}/bin/ops-ci 2>/dev/null || echo '[]'

External projects health

${CLAUDE_PLUGIN_ROOT}/bin/ops-external 2>/dev/null || echo '[]'

Your task

Analyze the pre-gathered data — including external projects. Then run parallel checks:

  1. ECS health — parse infra data for unhealthy services, stopped tasks, failed deployments.
  2. Sentry — if Sentry MCP is connected, query recent unresolved errors. Otherwise note it's unavailable.
  3. CI — parse CI data for failing pipelines, broken main/dev branches.
  4. GitHub Actions — gh run list --limit 20 --json status,conclusion,name,headBranch,createdAt 2>/dev/null
  5. External projects — parse ops-external data. Flag auth_expired as HIGH (credential rotation needed), unreachable/degraded as MEDIUM, not_configured as LOW.

Classify each issue by severity:

SeverityCriteria
CRITICALService down, DB unreachable, auth broken
HIGHElevated error rate, deploy stuck, CI main broken
MEDIUMNon-critical service degraded, flaky tests
LOWWarning-level, non-urgent

Output format

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 OPS ► FIRES DASHBOARD — [timestamp]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

CRITICAL
[service] — [issue] — [since]

HIGH
[service] — [issue] — [since]

MEDIUM
[service] — [issue] — [since]

ECS HEALTH
[cluster] [service] [desired/running] [status]

CI STATUS
[repo] [branch] [workflow] [status] [last run]

SENTRY (top errors, 24h)
[error] [count] [first seen] [project]

EXTERNAL PROJECTS
[alias] [source] [status] [details — e.g. auth_expired, unreachable]

──────────────────────────────────────────────────────

Use batched AskUserQuestion calls (max 4 options each). Only show relevant actions (e.g., skip dispatch options if no issues found):

AskUserQuestion call 1:

  [Dispatch fix agent for [top critical issue]]
  [Dispatch fix agent for [second issue]]
  [View logs for [service]]
  [More...]

AskUserQuestion call 2 (only if "More..."):

  [Open Sentry dashboard]
  [Open GitHub Actions]
  [All clear — nothing to do]

If no fires: show "ALL SYSTEMS OPERATIONAL" with last-checked timestamps.


Dispatch fix agent

When user selects to fix an issue, use AskUserQuestion to confirm the scope before dispatching:

Dispatch fix agent for: [issue title]
  Severity: [CRITICAL/HIGH/MEDIUM]
  Repo: [repo]
  Error: [brief description]

  The agent will:
  - Investigate root cause in [repo]
  - Create feature branch with fix
  - Open PR for review

  [Dispatch agent]  [Show me the logs first]  [Skip — I'll fix manually]

On confirmation, spawn an Agent with:

  • The error details and logs
  • Access to the relevant repo
  • Instruction to create a feature branch, fix, and open a PR
  • Report back when done or blocked

Use the agents/infra-monitor.md agent definition for infra issues.

If $ARGUMENTS contains a project alias, filter to that project's services only.


Native tool usage

Monitor — live service health

Use Monitor to stream ECS task logs or GitHub Actions runs when investigating fires:

Monitor(command: "aws logs tail /ecs/<service> --follow --since 5m")

Tasks — incident tracking

Use TaskCreate for each active fire. Update with TaskUpdate as fires are investigated/fixed/escalated.

WebFetch — status pages

When diagnosing fires, use WebFetch to check AWS status page (https://health.aws.amazon.com/health/status), Vercel status, or third-party API status pages.

WebSearch — known outage patterns

Use WebSearch to find if the error pattern matches a known AWS/infrastructure issue (e.g., "ECS task stopped CannotPullContainerError" → known ECR throttling).

Signals

GitHub stars
4k
Forks
543
Last commit
Sep 2026

ahel review

  • K2info
    exfiltration

Automated review, not a security audit. Ruleset v1+k2.

Advanced
Item type
skill
Key
ops-fires
Source
github.com/davepoon/buildwithclaude