OPS ► FIRES
SkillMonitoring & opsProduction 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.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
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:
-
Daemon health: Read
${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/daemon-health.json- Check
infra-monitorservice status — if not running, pre-gathered infra data may be stale - If
action_neededis not null → surface it immediately as a potential fire
- Check
-
Secrets: AWS credentials are required for ECS/CloudWatch queries.
Secret Resolution
- First: check
$AWS_ACCESS_KEY_ID/$AWS_PROFILEenv vars - Then:
doppler secrets get AWS_ACCESS_KEY_ID --plain(ifdopplerconfigured in prefs) - Then: use
password_manager_config.query_cmdfrom preferences - Sentry token:
$SENTRY_AUTH_TOKEN→ DopplerSENTRY_AUTH_TOKEN→ vault
- First: check
-
Preferences: Read
${CLAUDE_PLUGIN_DATA_DIR}/preferences.jsonforsecrets_managerconfig to know which vault to query.
CLI/API Reference
aws CLI
| Command | Usage | Output |
|---|---|---|
aws ecs list-services --cluster <name> --query 'serviceArns' | ECS services | ARN list |
aws ecs describe-services --cluster <name> --services <arn> --query 'services[0].{status:status,running:runningCount,desired:desiredCount}' | Service health | JSON |
aws logs tail /ecs/<service> --since 1h --format short | ECS logs | Log lines (use with Monitor for live) |
gh CLI (GitHub)
| Command | Usage | Output |
|---|---|---|
gh run list --limit 20 --json status,conclusion,name,headBranch,createdAt | Recent CI runs | JSON array |
gh run view <id> --repo <repo> --log-failed | Failed CI logs | Log output |
sentry-cli / Sentry API
| Command | Usage | Output |
|---|---|---|
sentry-cli issues list --project <slug> --status unresolved | Unresolved issues | Issue list |
curl -H "Authorization: Bearer $SENTRY_AUTH_TOKEN" "https://sentry.io/api/0/projects/<org>/<proj>/issues/?query=is:unresolved" | API fallback when MCP unavailable | JSON 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:
- ECS health — parse infra data for unhealthy services, stopped tasks, failed deployments.
- Sentry — if Sentry MCP is connected, query recent unresolved errors. Otherwise note it's unavailable.
- CI — parse CI data for failing pipelines, broken main/dev branches.
- GitHub Actions —
gh run list --limit 20 --json status,conclusion,name,headBranch,createdAt 2>/dev/null - External projects — parse ops-external data. Flag
auth_expiredas HIGH (credential rotation needed),unreachable/degradedas MEDIUM,not_configuredas LOW.
Classify each issue by severity:
| Severity | Criteria |
|---|---|
| CRITICAL | Service down, DB unreachable, auth broken |
| HIGH | Elevated error rate, deploy stuck, CI main broken |
| MEDIUM | Non-critical service degraded, flaky tests |
| LOW | Warning-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
github.com/davepoon/buildwithclaude
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