---
name: ops-fires
description: Production incidents dashboard. Reads ECS health, Sentry errors, CI failures. Offers to dispatch fix agents for active fires.
argument-hint: "[project-alias|all]"
allowed-tools:
  - Bash
  - Read
  - Grep
  - Glob
  - Skill
  - Agent
  - AskUserQuestion
  - TeamCreate
  - SendMessage
  - TaskCreate
  - TaskUpdate
  - Monitor
  - WebFetch
  - WebSearch
  - mcp__sentry__search_issues
  - mcp__sentry__get_issue_details
effort: medium
maxTurns: 30
---

# OPS ► FIRES

## 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

| 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:

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:

| 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).


---
Source attribution: davepoon
Original project: https://github.com/davepoon/buildwithclaude/blob/a1103092fa571c032ae3e706433505ce0d6327bc/plugins/claude-ops/skills/ops-fires/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Lifecycle Innovations Limited

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: davepoon
Original project: https://github.com/davepoon/buildwithclaude/blob/a1103092fa571c032ae3e706433505ce0d6327bc/plugins/claude-ops/skills/ops-fires/SKILL.md
Attribution basis: Source repository record

Fields of work: Development & Engineering, Customer Support
Roles: Backend Developer, DevOps / SRE, Technical Support
Specialties: Backend, DevOps
Tools: AWS, GitHub, Sentry
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 24a05f6f9ec8aaa0eb21bb7cbb0b06a20ecd80ef1b8643ec4ce621042ed22de9
