Business operations command center. Routes to the right ops command based on what you need — briefing, inbox, fires, projects, comms, triage, linear, revenue, deploy, or yolo mode.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Before routing, load:
cat ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json — read configured channels to determine available commandscat ${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json — if action_needed, surface before routingRoute $ARGUMENTS to the correct ops skill:
| Input | Route to |
|---|---|
| (empty), dash, home, hq | /ops:ops-dash |
| go, morning, briefing | /ops-go |
| setup, configure, init, install | /ops:setup $ARGUMENTS |
| inbox, unread, messages | /ops-inbox |
| comms, send, whatsapp, email, slack, telegram | /ops-comms $ARGUMENTS |
| fires, incidents, down, sentry | /ops-fires |
| projects, dashboard | /ops-projects |
| status, health-status | /ops:ops-status |
| next, priority, what | /ops-next |
| triage, issues | /ops-triage |
| linear, sprint, board | /ops-linear |
| revenue, money, mrr, costs | /ops-revenue |
| deploy, ship | /ops-deploy |
| merge, prs, ship-prs | /ops-merge $ARGUMENTS |
| marketing, email, klaviyo, ads, meta, seo, campaigns | /ops:ops-marketing $ARGUMENTS |
| ecom, shop, shopify, store, orders, inventory | /ops:ops-ecom $ARGUMENTS |
| voice, call, tts, transcribe, phone | /ops:ops-voice $ARGUMENTS |
| yolo | /ops-yolo |
| doctor, health, fix, diagnose | /ops:ops-doctor |
| monitor, apm, alerts, datadog, newrelic, otel | /ops:ops-monitor $ARGUMENTS |
| settings, credentials, creds, config, reconfigure | /ops:ops-settings $ARGUMENTS |
| integrate, connect, add-api, saas, partner | /ops:ops-integrate $ARGUMENTS |
| speedup, clean, optimize, cleanup | /ops:ops-speedup |
| orchestrate, subagents, agents, dispatch, run | /ops:ops-orchestrate $ARGUMENTS |
If $ARGUMENTS is empty, launch the interactive dashboard: invoke /ops:ops-dash directly.
If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when building dashboard sections in parallel. This enables:
Team setup (only when flag is enabled):
TeamCreate("ops-team")
Agent(team_name="ops-team", name="daily-ops", prompt="Gather fires, inbox, and unread comms status")
Agent(team_name="ops-team", name="engineering", prompt="Gather PRs, CI status, and deploy state")
Agent(team_name="ops-team", name="business", prompt="Gather revenue, Linear sprint, and project progress")
Agent(team_name="ops-team", name="automation", prompt="Check cron jobs, daemon health, and scheduled tasks")
If the flag is NOT set, use standard fire-and-forget subagents.
This skill is a router only — it does not call CLI tools directly. All tool usage is delegated to the target skill after routing. See the referenced skill's ## CLI/API Reference section for details.
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Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
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Pull the ads a competitor is running right now on Meta (Facebook/Instagram) and Google, then extract the hooks, offers, CTAs and landing pages worth modelling. Use when writing ad copy, planning creative tests, choosing a landing page angle, or when the user asks "what is X advertising", "what ads does X run", "find competitor ad hooks". Reads live Ad Library and Ads Transparency data through the Tracetify MCP; falls back to a manual Ad Library walkthrough when the connector is absent.
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Analytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.
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Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.
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Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
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Checks which private files (.env, keys, secrets) Claude Code and its subagents reached in this project, whether a value came into an agent's context, and which key to change, by running the open source agentwhy CLI over the session records Claude Code already keeps on disk. Use when the user asks whether the agent or a subagent read their .env or other secrets, which private files a session touched, whether a key leaked into the conversation, or which key to rotate. Runs locally and never prints a secret value.
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