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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Lightweight green/red status panel for every configured integration. No gather, no actions.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
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).
Before rendering, load:
cat ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json — determines which integrations are configuredcat ${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json — tells the panel whether the daemon row should show ✓ running or ○ not runningBoth are consumed by the bin/ops-status script internally — this skill does not parse them itself.
| Command | Usage | Output |
|---|---|---|
${CLAUDE_PLUGIN_ROOT}/bin/ops-status | Render the pretty text panel | ASCII panel with one row per category |
${CLAUDE_PLUGIN_ROOT}/bin/ops-status --json | Machine-readable output | Flat JSON: {clis, channels, mcps, commerce, voice, monitoring, daemon, registry, generated_at} |
Each integration resolves to one of four status strings:
| Status | Meaning | Rendered as |
|---|---|---|
ok | Installed / credentialed / running | ✓ |
not-configured | Known slot, no credential recorded | ○ |
missing | Required but not resolvable | ✗ |
skipped | User explicitly opted out via /ops:setup | ○ |
The script is designed to run in under 1 second with no network calls.
${CLAUDE_PLUGIN_ROOT}/bin/ops-status $ARGUMENTS
If $ARGUMENTS contains --json, pass it through — the script emits machine-readable JSON instead of the pretty panel.
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
OPS ► STATUS — Mon 14 Apr 2026 09:45 UTC
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
CLIs ✓ gh ✓ aws ✓ jq ✓ node ✗ wacli
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
──────────────────────────────────────────────────────
{
"clis": {"gh": "ok", "aws": "ok", "jq": "ok", "node": "ok", "wacli": "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"
}
| 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 |
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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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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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