Ops Status logo

Ops Status

Organization
Lifecycle-Innovations-Limited
ops-status

OPS on-demand: This skill should be used when the user asks to "ops status", "/ops:ops-status", or "are…

Overview

PublisherLifecycle-Innovations-Limited
Repositoryclaude-ops
Skill nameops-status
Stars
543
Forks
64
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Lifecycle-Innovations-Limited on GitHub. Read the source before you install it.

Installation

Install the Ops Status AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Lifecycle-Innovations-Limited/claude-ops/tree/main/claude-ops/skills/ops-status
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Lifecycle-Innovations-Limited/claude-ops.git /tmp/claude-ops
mkdir -p .claude/skills
cp -r /tmp/claude-ops/claude-ops/skills/ops-status .claude/skills/ops-status
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ops Status in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ops Status on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ops Status is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

OPS ► 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).

Compact health panel for every configured integration. Much lighter than /ops:go — no gathering, no actions, no heavy API probes. Each row is tagged with ✓ (ok) / ○ (not configured) / ✗ (missing) / ─ (category unused).

Runtime Context

Before rendering, load:

  1. Preferences: cat ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json — determines which integrations are configured
  2. Daemon health: cat ${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json — tells the panel whether the daemon row should show ✓ running or ○ not running

Both are consumed by the bin/ops-status script internally — this skill does not parse them itself.

CLI/API Reference

bin/ops-status

CommandUsageOutput
${CLAUDE_PLUGIN_ROOT}/bin/ops-statusRender the pretty text panelASCII panel with one row per category
${CLAUDE_PLUGIN_ROOT}/bin/ops-status --jsonMachine-readable outputFlat JSON: {clis, channels, mcps, commerce, voice, monitoring, daemon, registry, generated_at}

Each integration resolves to one of four status strings:

StatusMeaningRendered as
okInstalled / credentialed / running✓
not-configuredKnown slot, no credential recorded○
missingRequired but not resolvable✗
skippedUser explicitly opted out via /ops:setup○

The script is designed to run in under 1 second with no network calls.


What this skill does

  1. Run the status script and print its output verbatim:
${CLAUDE_PLUGIN_ROOT}/bin/ops-status $ARGUMENTS
  1. If $ARGUMENTS contains --json, pass it through — the script emits machine-readable JSON instead of the pretty panel.

  2. Do NOT probe any integration beyond what the script already did. Do NOT spawn a doctor / fix agent. Do NOT run API calls. If the user wants deeper checks, point them at:

    • /ops:doctor — full health check + auto-repair
    • /ops:go — full morning briefing with live data

Example output

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 OPS ► STATUS — Mon 14 Apr 2026 09:45 UTC
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 CLIs         ✓ gh   ✓ aws  ✓ jq   ✓ node   ✗ whatsapp-bridge
 Channels     ✓ gog   ✓ slack  ○ telegram   ✗ whatsapp
 MCPs         ✓ linear  ✓ sentry  ✓ vercel  ○ gmail
 Commerce     ○ shopify
 Voice        ─ (not configured)
 Monitoring   ✓ datadog  ○ newrelic
 Daemon       ✓ running (6 services, last-sync 2m ago)
 Registry     ✓ 3 projects
──────────────────────────────────────────────────────

JSON shape

json
{
  "clis": { "gh": "ok", "aws": "ok", "jq": "ok", "node": "ok", "whatsapp-bridge": "missing" },
  "channels": { "whatsapp": "ok", "slack": "ok", "telegram": "not-configured" },
  "mcps": { "linear": "ok", "sentry": "ok", "vercel": "ok", "gmail": "not-configured" },
  "commerce": { "shopify": "not-configured" },
  "voice": {},
  "monitoring": { "datadog": "ok", "newrelic": "not-configured" },
  "daemon": { "state": "ok", "services": 6, "last_sync": "2026-04-14T09:43:00Z" },
  "registry": { "state": "ok", "projects": 3 },
  "generated_at": "2026-04-14T09:45:12Z"
}

When to use this vs other skills

If you want...Use
A quick "is everything connected?" glance/ops:status
The full morning briefing with real data/ops:go
Deep diagnostics + auto-repair/ops:doctor
An interactive dashboard with hotkeys/ops:dash

Integration with /ops:setup

/ops:setup (and its --re-setup flag) queries this skill for a per-section health map and uses it to filter the setup selector to only broken/unconfigured sections. The compact shape expected is:

json
{
  "telegram": "green",
  "whatsapp": "missing",
  "email": "red",
  "slack": "green"
}

Maintain this contract when extending the status output — the setup wizard keys on section names like telegram, whatsapp, email, slack, notion, calendar, doppler, vault, ecommerce, marketing, voice, revenue, discord, notifications, github, aws, sentry, linear. A --brief (or equivalent JSON) mode that returns this map is the recommended integration surface.

Frequently asked questions

What does the Ops Status AI skill do?

OPS on-demand: This skill should be used when the user asks to "ops status", "/ops:ops-status", or "are…

Why use Ops Status on TypingMind?

Because you install it once and use it with any model. Ops Status is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ops Status in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Lifecycle-Innovations-Limited/claude-ops/tree/main/claude-ops/skills/ops-status. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ops Status?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ops Status?

As many as you like. As long as a model supports skills, you can use Ops Status with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ops Status AI skill free?

Yes. It is published on GitHub by Lifecycle-Innovations-Limited under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇