Claude-ops ops-deploy
Deploy status across all projects. Shows ECS service versions, Vercel deployments, recent deploys, pending deploys, and CI/CD pipeline state.
git clone https://github.com/Lifecycle-Innovations-Limited/claude-ops
T=$(mktemp -d) && git clone --depth=1 https://github.com/Lifecycle-Innovations-Limited/claude-ops "$T" && mkdir -p ~/.claude/skills && cp -r "$T/claude-ops/skills/ops-deploy" ~/.claude/skills/lifecycle-innovations-limited-claude-ops-ops-deploy && rm -rf "$T"
claude-ops/skills/ops-deploy/SKILL.mdOPS ► DEPLOY STATUS
Runtime Context
Before executing, load available context:
-
Preferences: Read
${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json
— display all deploy timestamps in the correct timezonetimezone
-
Daemon health: Read
${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json- Check
status — if not running, note that ECS data may be staleinfra-monitor
- Check
-
Secrets: AWS and Vercel credentials required.
Secret Resolution
- AWS: check
/$AWS_PROFILE
→$AWS_ACCESS_KEY_ID
→ vault query cmd from prefsdoppler secrets get AWS_ACCESS_KEY_ID --plain - Vercel token: check
→$VERCEL_TOKEN
→ vaultdoppler secrets get VERCEL_TOKEN --plain
- AWS: check
CLI/API Reference
aws CLI
| Command | Usage | Output |
|---|---|---|
| All ECS clusters | |
| Services in cluster | |
| Service health | |
| ECS logs | Log lines |
gh CLI (GitHub)
| Command | Usage | Output |
|---|---|---|
| CI runs | JSON array |
| Failed CI logs | Log output |
| Stream CI run | Live output (use with Monitor) |
Agent Teams support
If
CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when checking deploy platforms in parallel. This enables:
- Agents share context and can coordinate mid-flight
- You can steer priorities in real-time
- Agents report progress as they complete
Team setup (only when flag is enabled):
TeamCreate("deploy-team") Agent(team_name="deploy-team", name="ecs-checker", prompt="List all ECS clusters and describe service health, running/desired counts") Agent(team_name="deploy-team", name="vercel-checker", prompt="List Vercel projects and recent deployments with status") Agent(team_name="deploy-team", name="ci-checker", prompt="Check GitHub Actions runs across all registered repos for failures")
If the flag is NOT set, use standard fire-and-forget subagents.
Phase 1 — Gather deploy data in parallel
ECS services (all clusters)
${CLAUDE_PLUGIN_ROOT}/bin/ops-infra 2>/dev/null || \ aws ecs list-clusters --output json 2>/dev/null
ECS service details
for cluster in $(aws ecs list-clusters --output json 2>/dev/null | jq -r '.clusterArns[]'); do cluster_name=$(basename "$cluster") aws ecs list-services --cluster "$cluster_name" --output json 2>/dev/null | \ jq -r '.serviceArns[]' | while read svc; do aws ecs describe-services --cluster "$cluster_name" --services "$svc" \ --output json 2>/dev/null | jq '.services[] | {name: .serviceName, desired: .desiredCount, running: .runningCount, pending: .pendingCount, image: (.taskDefinition // "unknown"), status: .status}' done done
Recent GitHub Actions runs (registry-driven)
REGISTRY="${CLAUDE_PLUGIN_ROOT}/scripts/registry.json" [ -f "$REGISTRY" ] || REGISTRY="${CLAUDE_PLUGIN_ROOT}/scripts/registry.example.json" for repo in $(jq -r '.projects[] | select(.gsd == true) | .repos[]' "$REGISTRY" 2>/dev/null); do echo "=== $repo ===" gh run list --repo "$repo" --limit 5 --json status,conclusion,name,headBranch,createdAt,databaseId 2>/dev/null done
Vercel deployments
Use
mcp__claude_ai_Vercel__list_projects then mcp__claude_ai_Vercel__list_deployments for each project (limit 5 per project).
Phase 2 — Render dashboard
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ OPS ► DEPLOY STATUS — [timestamp] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ECS SERVICES CLUSTER SERVICE D/R/P STATUS LAST DEPLOY ───────────────────────────────────────────────────── [cluster] [service] [x/x/x] ACTIVE [time ago] ... VERCEL DEPLOYMENTS PROJECT ENV STATUS COMMIT DEPLOYED ───────────────────────────────────────────────────── [project] production READY [sha] [time ago] ... CI/CD PIPELINE REPO BRANCH WORKFLOW STATUS AGE ───────────────────────────────────────────────────── example-api main Deploy API ✓ success 2h example-web dev Build ✗ failure 1h ... PENDING DEPLOYS (branch ready, not yet deployed) [repo] [branch] [PR#] [CI status] → needs merge to trigger ──────────────────────────────────────────────────────
After rendering, use batched AskUserQuestion calls (max 4 options each). Only show actions relevant to the current state (e.g., skip "View logs for failing service" if nothing is failing). If <=4 relevant actions, use a single call. If >4, batch:
AskUserQuestion call 1:
[View logs for [failing service]] [Trigger manual deploy for [project]] [View build logs for [failing CI run]] [More actions...]
AskUserQuestion call 2 (only if "More actions..."):
[Check Vercel [project] runtime logs] [Open GitHub Actions for [repo]] [Back to dashboard]
Deep-dive by project
If
$ARGUMENTS has a project alias, show only that project's deploy info + last 10 CI runs + option to view logs.
For failing deploys: offer to view logs via
mcp__claude_ai_Vercel__get_deployment_build_logs or ECS CloudWatch logs.
If user selects manual deploy (option b), confirm with
AskUserQuestion before triggering:
Trigger deploy for [project]: Environment: [production/staging] Branch: [branch] Last commit: [sha] — [message] [Deploy now] [View diff since last deploy first] [Cancel]
If user selects to view logs, show the logs and use
AskUserQuestion:
[Dispatch fix agent for this failure] [Redeploy] [Back to dashboard]
Native tool usage
Monitor — live deploy streaming
When watching a deploy in progress, use
Monitor to stream logs:
Monitor(command: "gh run watch <run-id> --repo <repo>")
For ECS deploys:
Monitor(command: "aws ecs wait services-stable --cluster <cluster> --services <service>")
Tasks — deploy tracking
Use
TaskCreate per project being deployed. Update with TaskUpdate as deploys succeed/fail.
WebFetch — Vercel fallback
When Vercel MCP tools are unavailable, use
WebFetch with the Vercel API directly:
WebFetch(url: "https://api.vercel.com/v6/deployments?projectId=<id>&limit=5", headers: {"Authorization": "Bearer $VERCEL_TOKEN"})