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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Interactive pixel-art command center dashboard. Visual business HQ with instant hotkey navigation to all ops commands, live status indicators, fire alerts, C-suite reports, settings, sharing, and FAQ.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Before rendering, load available context:
Preferences: Read ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json
owner — personalize the dashboard header greetingtimezone — display timestamps correctly in status indicatorsDaemon health: Read ${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json
action_needed is not null → show a warning banner at the top of the dashboard before the menu| Command | Usage | Output |
|---|---|---|
${CLAUDE_PLUGIN_ROOT}/bin/ops-dash | Render full pixel-art dashboard | Formatted ASCII dashboard |
${CLAUDE_PLUGIN_ROOT}/bin/ops-dash 2>/dev/null || echo "DASH_RENDER_FAILED" | Render with failure detection | Dashboard or DASH_RENDER_FAILED sentinel |
The bin script reads preferences.json and daemon-health.json internally. The skill reads these files separately to check for warnings before invoking the script.
If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when loading dashboard data in parallel. This enables:
Team setup (only when flag is enabled):
TeamCreate("dash-team")
Agent(team_name="dash-team", name="infra-loader", prompt="Gather ECS health, Vercel status, and CI pipeline state")
Agent(team_name="dash-team", name="comms-loader", prompt="Gather unread counts across all configured channels")
Agent(team_name="dash-team", name="projects-loader", prompt="Gather GSD phase, git status, and PRs for all projects")
Agent(team_name="dash-team", name="business-loader", prompt="Gather revenue, Linear sprint, and fire alerts")
If the flag is NOT set, use standard fire-and-forget subagents.
${CLAUDE_PLUGIN_ROOT}/bin/ops-dash 2>/dev/null || echo "DASH_RENDER_FAILED"
The dashboard has already rendered above via the shell script. Your job is to route user input to the right skill.
Present the dashboard output as-is (it's already formatted). Then immediately use AskUserQuestion:
Type a number (1-9, 0), letter (a-j), or describe what you need
| Input | Route | Description |
|---|---|---|
1, go, morning, briefing | /ops:ops-go | Morning briefing |
2, inbox, unread, messages | /ops:ops-inbox | Inbox zero |
3, fires, incidents, down | /ops:ops-fires | Fire check |
4, projects, portfolio | /ops:ops-projects | Project dashboard |
5, next, priority, what | /ops:ops-next | What's next |
6, revenue, costs, money | /ops:ops-revenue | Revenue & costs |
7, linear, sprint, board | /ops:ops-linear | Linear sprint |
8, deploy, ship | /ops:ops-deploy | Deploy status |
9, triage, issues | /ops:ops-triage | Triage issues |
0, speedup, clean, optimize | /ops:ops-speedup | System speedup |
a, yolo | /ops:ops-yolo | YOLO mode |
b, merge, prs | /ops:ops-merge | Auto-merge PRs |
c, setup, configure | /ops:setup | Setup wizard |
d, send, comms | /ops:ops-comms | Send message |
e, report, csuite | Read latest YOLO report | C-suite report |
f, settings, prefs, config | Settings sub-menu | Interactive config |
g, share | Share sub-menu | Share your setup |
h, faq, help, wiki, ? | FAQ sub-menu | Help & FAQ |
back, dash, home | Re-render dashboard | Return to dash |
When user selects e:
ls -td /tmp/yolo-*/ 2>/dev/null | head -1Display the C-suite header, then use batched AskUserQuestion (max 4 options per call):
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
OPS > C-SUITE REPORTS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
AskUserQuestion call 1:
[CEO — Strategic analysis]
[CTO — Technical health]
[CFO — Financial analysis]
[More...]
AskUserQuestion call 2 (only if "More..."):
[COO — Operations review]
[All — Full Hard Truths report]
[Back to dashboard]
Read the selected file and display it. After display, offer [Back to dashboard].
No C-suite reports yet. Run /ops:ops-yolo to generate one.
b) Back to dashboard
When user selects f, read current preferences and present an interactive config editor.
PREFS="${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json"
cat "$PREFS" 2>/dev/null || echo '{}'
cat "${CLAUDE_PLUGIN_ROOT}/scripts/registry.json" 2>/dev/null || echo '{}'
Display the full settings menu as text (for reference), then use batched AskUserQuestion calls (max 4 options each) to let the user pick a category:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
OPS > SETTINGS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
PROFILE: Owner=[value] | TZ=[value] | Style=[value]
CHANNELS: Email=[✓/✗] | WA=[✓/✗] | Slack=[✓/✗] | Telegram=[✓/✗]
INTEGRATIONS: AWS=[value] | Sentry=[value] | Linear=[value]
PROJECTS: [N] registered
PLUGIN: v[version]
──────────────────────────────────────────────────────
Use AskUserQuestion (max 4 options):
What would you like to configure?
[Profile (name/timezone/style)]
[Channels (email/WA/slack/telegram)]
[Integrations & Projects]
[Back to dashboard]
On "Profile": use AskUserQuestion with [Owner name], [Timezone], [Briefing style], [Back].
On "Channels": use AskUserQuestion with the 4 channel names (fits in one call).
On "Integrations & Projects": use AskUserQuestion with [AWS/Sentry/Linear], [View registry], [Add/remove project], [Update plugin / Re-run setup].
For each option, use AskUserQuestion to get the new value, then write to preferences.json or registry.json.
Writing preferences:
PREFS="${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json"
# Read existing, merge update, write back
jq --arg key "owner" --arg val "$NEW_VALUE" '.[$key] = $val' "$PREFS" > "${PREFS}.tmp" && mv "${PREFS}.tmp" "$PREFS"
After each change, confirm success and return to the settings menu. User can keep making changes or press b to go back.
When user selects g, generate a shareable summary of their ops setup:
Display the share header, then use batched AskUserQuestion (max 4 options per call):
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
OPS > SHARE YOUR SETUP
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
AskUserQuestion call 1:
[Share on X (Twitter)]
[Share via Slack]
[Share via Email]
[More...]
AskUserQuestion call 2 (only if "More..."):
[Copy to clipboard]
[Export setup guide (markdown)]
[Back to dashboard]
Generate a share-ready message. Never include secrets, tokens, or private project names. Only share:
Template:
I'm running my business from Claude Code with claude-ops v0.3.1
Setup: [N] projects | [N] channels | [OS]
Features: Morning briefing, inbox zero, fire alerts, C-suite AI analysis, system optimizer
Try it: /plugin marketplace add ops-marketplace
#ClaudeCode #DevOps #AI
| Option | Action |
|---|---|
| X/Twitter | Copy text to clipboard + open https://twitter.com/intent/tweet?text=... via open (macOS) or xdg-open (Linux) |
| Slack | Send via /ops:ops-comms slack with generated message |
Draft via gog gmail send or copy to clipboard | |
| Clipboard | pbcopy (macOS) / xclip -selection clipboard (Linux) / clip.exe (WSL) |
| Export | Write a ~/.claude-ops-setup.md file with full (sanitized) setup guide for sharing with teammates |
When user selects h:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
OPS > HELP & FAQ
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
QUICK START
1) What is claude-ops?
2) How do I set up channels?
3) How does YOLO mode work?
4) What data does ops collect?
COMMANDS
5) Full command reference
6) Keyboard shortcuts
TROUBLESHOOTING
7) MCP server disconnected
8) WhatsApp not connecting
9) Telegram auth issues
10) Channel not showing unread
LINKS
w) Wiki — github.com/Lifecycle-Innovations-Limited/claude-ops/wiki
r) README — github.com/Lifecycle-Innovations-Limited/claude-ops
i) Issues — github.com/Lifecycle-Innovations-Limited/claude-ops/issues
c) Changelog
──────────────────────────────────────────────────────
b) Back to dashboard
──────────────────────────────────────────────────────
| # | Question | Answer |
|---|---|---|
| 1 | What is claude-ops? | Business operations OS for Claude Code. Manages inbox, fires, deploys, PRs, revenue, and can run your business autonomously via YOLO mode. |
| 2 | Channel setup | Run /ops:setup — interactive wizard detects installed CLIs and walks you through each channel. |
| 3 | YOLO mode | Spawns 4 AI agents (CEO, CTO, CFO, COO) to analyze your business. Type YOLO to hand over controls — it processes inbox, fixes fires, merges PRs, and advances GSD phases. |
| 4 | Data collection | All data stays local. No telemetry. Registry and preferences are gitignored. Tokens stored in macOS keychain or env vars. |
| 5 | Command reference | List all /ops:* commands with descriptions |
| 6 | Shortcuts | 1-9, 0 for actions, a-h for power/comms/settings, b always goes back, q exits |
| 7 | MCP disconnected | Wait 5s and retry (auto-reconnect hook). After 3 fails, falls back to CLI tools. |
| 8 | First check ~/.wacli/.health — if status is not connected, surface the auth warning before running wacli doctor. Check wacli doctor. If 405 error: rebuild from source. If store locked: kill $(pgrep wacli). | |
| 9 | Telegram | Needs user-auth (not bot). Run /ops:setup → Telegram section. API ID + hash from my.telegram.org. |
| 10 | Unread | Channel must be configured in /ops:setup. Check ops-unread script output for errors. |
For links (w, r, i): open in browser via open (macOS) or xdg-open (Linux).
For changelog (c): read and display ${CLAUDE_PLUGIN_ROOT}/CHANGELOG.md.
After each FAQ answer, offer b) Back to dashboard or h) Back to FAQ.
After ANY skill completes and returns control, re-render the dashboard by running the bin script again and re-entering the routing loop. This creates the "app within an app" experience — the user always comes back to the command center.
To re-render:
${CLAUDE_PLUGIN_ROOT}/bin/ops-dash 2>/dev/null
Then AskUserQuestion again for the next action.
Exception: If user types q, quit, or exit, end the session gracefully:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
OPS > SESSION ENDED
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
$ARGUMENTS is backRe-render the dashboard and enter routing loop.
$ARGUMENTS is settingsJump directly to settings sub-menu (skip dashboard render).
$ARGUMENTS is shareJump directly to share sub-menu.
$ARGUMENTS is faqJump directly to FAQ sub-menu.
If the dashboard script outputs DASH_RENDER_FAILED or the preferences file doesn't exist, show:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
OPS > SETUP REQUIRED
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Run /ops:setup to configure your integrations first.
Then invoke /ops:setup directly.
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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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。