OPS on-demand: This skill should be used when the user asks to "deploy status", "what is in…

MITAuto-check: notesDevOps & Cloud

Install Ops Deploy

skills CLI
$ npx skills add Lifecycle-Innovations-Limited/claude-ops --skill ops-deploy -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Lifecycle-Innovations-Limited/claude-ops ops-deploy --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Lifecycle-Innovations-Limited/claude-ops.git skills-src && mkdir -p .claude/skills && cp -r skills-src/claude-ops/skills/ops-deploy .claude/skills/ops-deploy && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ops-deploy
GitHub stars
542
Token cost
~2.7k tokens
SKILL.md length
677 words
Files
1
Skills in repo
67
Repo updated
First seen
Licence
MIT

At a glance

OPS on-demand: This skill should be used when the user asks to "deploy status", "what is in…

  • Works in 2 steps: Gather deploy data in parallel → Render dashboard
  • Asks to deploy status
  • SKILL.md covers Runtime Context, CLI/API Reference, Agent Teams support and Phase 1 — Gather deploy data…, plus 4 more sections
  • Calls aws, gh and jq; reaches api.vercel.com; needs VERCEL_TOKEN and CLAIM_KEY

What it does

Ops Deploy is an agent skill from Lifecycle-Innovations-Limited/claude-ops. OPS on-demand: This skill should be used when the user asks to "deploy status", "what is in…

Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Deployment. It works with Amazon Web Services and Vercel. The repository describes itself as: Business operating system for Claude Code — 57 skills, 21 agents, smart daemon. Unified inbox (WhatsApp/Email/Slack/Telegram), autonomous PR merge, full-AWS monitoring, revenue… The licence is MIT.

When your agent uses it

  • Asks to deploy status
  • Tasks that involve Deployment

Example prompts

  • “deploy status”
  • “/ops-deploy”

Requirements

  • A credential in VERCEL_TOKEN
  • A credential in CLAIM_KEY
  • Pre-approved tools (allowed-tools): Bash, Read, Grep, Glob, Skill, Agent, TeamCreate, SendMessage, AskUserQuestion, TaskCreate, TaskUpdate, Monitor, WebFetch, mcp__claude_ai_Vercel__list_deployments, mcp__claude_ai_Vercel__list_projects, mcp__claude_ai_Vercel__get_deployment, mcp__claude_ai_Vercel__get_runtime_logs, mcp__claude_ai_Vercel__get_deployment_build_logs

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. Gather deploy data in parallel
  2. Render dashboard

What it can do on your machine

Read from SKILL.md and the folder at commit 1aa0928. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • Grep
    • Glob
    • Skill
    • Agent
    • TeamCreate
    • SendMessage
    • AskUserQuestion
    • TaskCreate

    …and 8 more on the same allowed-tools line.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • aws
    • gh
    • jq
    • vercel

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.vercel.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • VERCEL_TOKEN
    • CLAIM_KEY
    • AWS_ACCESS_KEY_ID

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ops Deploy loads about 2.7k tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 677 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Grep, Glob, Skill, Agent, TeamCreate, SendMessage, AskUserQuestion, TaskCreate, TaskUpda

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Lifecycle-Innovations-Limited/claude-ops at commit 1aa0928, republished under its MIT licence (© Lifecycle-Innovations-Limited). 677 words, ~2,676 tokens.

Download SKILL.mdSave it as .claude/skills/ops-deploy/SKILL.md (or your agent's skills folder).
name
ops-deploy
description
OPS on-demand: This skill should be used when the user asks to "deploy status", "what is in…
allowed-tools
Bash, Read, Grep, Glob, Skill, Agent, TeamCreate, SendMessage, AskUserQuestion, TaskCreate, TaskUpdate, Monitor, WebFetch, mcp__claude_ai_Vercel__list_deployments, mcp__claude_ai_Vercel__list_projects, mcp__claude_ai_Vercel__get_deployment, mcp__claude_ai_Vercel__get_runtime_logs, mcp__claude_ai_Vercel__get_deployment_build_logs
argument-hint
[project-alias|ecs|vercel|all]
effort
low
maxTurns
20
disallowedTools
Edit, Write, NotebookEdit

OPS ► DEPLOY STATUS

Load ops-rules before acting. Public repo (no personal data). Outbound: one draft → one approval → one send. If AskUserQuestion / Workflow are missing, follow Rule 10 in ops-rules (Hermes: numbered options / two-turn Telegram card; delegate_task).

Runtime Context

Before executing, load available context:

  1. Preferences: Read ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json

    • timezone — display all deploy timestamps in the correct timezone
  2. Daemon health: Read ${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json

    • Check infra-monitor status — if not running, note that ECS data may be stale
  3. Secrets: AWS and Vercel credentials required.

    Secret Resolution
    • AWS: check $AWS_PROFILE / $AWS_ACCESS_KEY_ID → doppler secrets get AWS_ACCESS_KEY_ID --plain → vault query cmd from prefs
    • Vercel token: check $VERCEL_TOKEN → doppler secrets get VERCEL_TOKEN --plain → vault

CLI/API Reference

aws CLI
CommandUsageOutput
aws ecs list-clusters --output jsonAll ECS clusters{clusterArns: [...]}
aws ecs list-services --cluster <name> --output jsonServices in cluster{serviceArns: [...]}
aws ecs describe-services --cluster <name> --services <arn> --output jsonService health{services: [{serviceName, status, runningCount, desiredCount, pendingCount}]}
aws logs tail /ecs/<service> --since 1h --format shortECS logsLog lines
gh CLI (GitHub)
CommandUsageOutput
gh run list --repo <owner/repo> --limit 5 --json status,conclusion,name,headBranch,createdAt,databaseIdCI runsJSON array
gh run view <id> --repo <repo> --log-failedFailed CI logsLog output
gh api repos/<repo>/actions/runs/<run-id> --jq .status,.conclusionPoll one CI runJSON fields (REST bucket)

gh run watch and gh pr checks --watch are banned — they poll every 2-5s with no cap. hooks/gh-watch-guard.sh denies them. Poll the REST endpoint above on a sleep 30 floor with a finite tick count instead.


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)
bash
${CLAUDE_PLUGIN_ROOT}/bin/ops-infra 2>/dev/null || \
aws ecs list-clusters --output json 2>/dev/null
ECS service details
bash
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)
bash
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]

Show full SKILL.md (294 more words)Show less

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, call the approved monitor script. Do NOT hand-roll a gh api polling loop: hooks/gh-watch-guard.sh denies any for/while/until loop containing a quota-spending gh verb, so a hand-rolled loop is rejected before it ever polls. gh run watch is denied for the same reason (it polls every 2-5s with no cap).

bash
${CLAUDE_PLUGIN_ROOT}/scripts/ops-deploy-monitor.sh <owner/repo> <pr-number>

That script owns the bounded poll: a tick cap, a wall-clock deadline, a 25s sleep floor and a REST rate gate, all in one place. It is also what the bin/ops-deploy-fix-merge-trigger PostToolUse hook spawns, so the interactive path and the automatic path share one implementation and one set of limits.

Only a /rate_limit-only loop is exempt from the guard (that endpoint is quota-free) — useful for blocking until quota recovers, not for watching a run.

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"})

Ledger Integration

CLAIM_KEY: deploy:<project>:<env> (e.g. deploy:my-api:production)

Keyed on project + environment so concurrent deploys of the same target are blocked for the full claim TTL (30 minutes).

Pre-flight skip-check
bash
CLAIM_KEY="deploy:<project>:<env>"
ledger query --claim-key "$CLAIM_KEY" --since=-PT24H

If in_progress exists, a concurrent deploy is already running — abort and surface to the user. If done exists within the last hour, confirm before re-deploying.

Claim + resolve
bash
# Claim when deploy pipeline starts
ledger write \
  --claim-key "$CLAIM_KEY" \
  --kind "file" \
  --status "in_progress" \
  --title "Deploy: <project> → <env>" \
  --ttl-sec 1800

# Resolve after deploy completes or fails
ledger write \
  --claim-key "$CLAIM_KEY" \
  --kind "file" \
  --status "done" \
  --title "Deploy: <project> → <env>" \
  --context "succeeded|failed: <reason>"

© Lifecycle-Innovations-Limited, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in claude-ops/skills/ops-deploy of Lifecycle-Innovations-Limited/claude-ops.

Open the folder on GitHubat commit 1aa0928

Compare with similar skills

Ops Deploy next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ops Deploy compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ops Deploy this skillLifecycle-Innovations-Limited/claude-ops542—~2.7kAutomated safety check: NotesMIT
Phase 9 Deploymentww-w-ai/bkit-claude-code601—~2.7kAutomated safety check: NotesApache-2.0
Vercel Migration Deep Divejeremylongshore/tons-of-skills-marketplace2.8k—~2kAutomated safety check: NotesMIT
Deployment Automationaiskillstore/marketplace4301 repos~3kAutomated safety check: NotesNone
Ops Deploydavepoon/buildwithclaude3.6k—~1.9kAutomated safety check: NotesMIT
Gamma Deploy Integrationjeremylongshore/tons-of-skills-marketplace2.8k—~1.3kAutomated safety check: PassMIT

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Categories

Questions about Ops Deploy

What does Ops Deploy do?

OPS on-demand: This skill should be used when the user asks to "deploy status", "what is in…. Ops Deploy is an agent skill from Lifecycle-Innovations-Limited/claude-ops.

When should I use Ops Deploy?

Ops Deploy fits situations like: asks to deploy status; tasks that involve Deployment.

How do I install Ops Deploy in Claude Code?

Run `npx skills add Lifecycle-Innovations-Limited/claude-ops --skill ops-deploy -a claude-code`. Or copy the skill folder (claude-ops/skills/ops-deploy in Lifecycle-Innovations-Limited/claude-ops) into .claude/skills/ops-deploy in your project. Claude Code loads it when a task matches its description.

How do I install Ops Deploy in Codex?

Run `npx skills add Lifecycle-Innovations-Limited/claude-ops --skill ops-deploy -a codex`. Or copy the skill folder (claude-ops/skills/ops-deploy in Lifecycle-Innovations-Limited/claude-ops) into .agents/skills/ops-deploy in your project. Codex loads it when a task matches its description.

Can I use Ops Deploy in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Lifecycle-Innovations-Limited/claude-ops --skill ops-deploy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ops-deploy, .gemini/skills/ops-deploy, .github/skills/ops-deploy and .opencode/skills/ops-deploy in your project.

What does Ops Deploy need to run?

Going by SKILL.md and its folder, Ops Deploy needs the command-line tools its instructions call (aws, gh, jq and vercel) and credentials named VERCEL_TOKEN, CLAIM_KEY and AWS_ACCESS_KEY_ID. Our summary lists: A credential in VERCEL_TOKEN; A credential in CLAIM_KEY. Its frontmatter pre-approves these tools: Bash, Read, Grep, Glob, Skill, Agent, TeamCreate, SendMessage, AskUserQuestion, TaskCreate, TaskUpdate, Monitor, WebFetch, mcp__claude_ai_Vercel__list_deployments, mcp__claude_ai_Vercel__list_projects, mcp__claude_ai_Vercel__get_deployment, mcp__claude_ai_Vercel__get_runtime_logs, mcp__claude_ai_Vercel__get_deployment_build_logs.

Does Ops Deploy access the network?

SKILL.md names 1 domain. In commands or code: api.vercel.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Ops Deploy safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Ops Deploy use?

Ops Deploy is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ops Deploy use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ops Deploy?

Skills that share tags, products or a category with Ops Deploy: Phase 9 Deployment (ww-w-ai/bkit-claude-code, 601 stars), Vercel Migration Deep Dive (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), Deployment Automation (aiskillstore/marketplace, 430 stars) and Ops Deploy (davepoon/buildwithclaude, 3.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ops Deploy?

Lifecycle-Innovations-Limited (a GitHub organization) maintains it in Lifecycle-Innovations-Limited/claude-ops, which has 542 GitHub stars. The repository holds 67 skills in this directory. The repository was last updated on October 9, 2026.

Source: Lifecycle-Innovations-Limited/claude-ops on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.