Ops Dash logo

Ops Dash

Organization
Lifecycle-Innovations-Limited
ops-dash

OPS on-demand: This skill should be used when the user asks to "ops dashboard", "pixel HQ", or…

Overview

PublisherLifecycle-Innovations-Limited
Repositoryclaude-ops
Skill nameops-dash
Stars
543
Forks
64
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Ops Dash 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-dash
  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-dash .claude/skills/ops-dash
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ops Dash 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 Dash 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 Dash 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 > DASH — Interactive Command Center

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 rendering, load available context:

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

    • owner — personalize the dashboard header greeting
    • timezone — display timestamps correctly in status indicators
  2. Daemon health: Read ${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json

    • If action_needed is not null → show a warning banner at the top of the dashboard before the menu

Agent Teams support

If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when loading dashboard data 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("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.

Render dashboard instantly

${CLAUDE_PLUGIN_ROOT}/bin/ops-dash 2>/dev/null || echo "DASH_RENDER_FAILED"

Your task

The dashboard has already rendered above via the shell script — the user can see the full colored ANSI output directly. Your job is to route user input to the right skill.

DO NOT re-render, re-print, summarize, transcribe, or describe the dashboard output. The user sees the rich colored render above; any plain-text re-statement is duplicate noise and destroys the visual quality.

Skip straight to AskUserQuestion for the next action — no preamble, no recap, no "vitals" summary line. The dashboard speaks for itself.

Routing table

InputRouteDescription
1, go, morning, briefing/ops:ops-goMorning briefing
2, inbox, unread, messages/ops:ops-inboxInbox zero
3, fires, incidents, down/ops:ops-firesFire check
4, projects, portfolio/ops:ops-projectsProject dashboard
5, next, priority, what/ops:ops-nextWhat's next
6, revenue, costs, money/ops:ops-revenueRevenue & costs
7, linear, sprint, board/ops:ops-linearLinear sprint
8, deploy, ship/ops:ops-deployDeploy status
9, triage, issues/ops:ops-triageTriage issues
0, speedup, clean, optimize/ops:ops-speedupSystem speedup
a, yolo/ops:ops-yoloYOLO mode
b, merge, prs/ops:ops-mergeAuto-merge PRs
c, setup, configure/ops:setupSetup wizard
d, send, comms/ops:ops-commsSend message
e, report, csuiteRead latest YOLO reportC-suite report
f, settings, prefs, configSettings sub-menuInteractive config
g, shareShare sub-menuShare your setup
h, home, homey, house/ops:ops-homeSmart-home control (only if home_automation configured in $PREFS_PATH)
?, faq, help, wikiFAQ sub-menuHelp & FAQ
back, dashRe-render dashboardReturn to dash

C-suite report access (option e)

When user selects e:

  1. Find latest YOLO session: ls -td /tmp/yolo-*/ 2>/dev/null | head -1
  2. If found, show a sub-menu:

Display 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].

  1. If no YOLO reports exist:
No C-suite reports yet. Run /ops:ops-yolo to generate one.

 b) Back to dashboard

Settings sub-menu (option f)

When user selects f, read current preferences and present an interactive config editor.

bash
PREFS="${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json"
cat "$PREFS" 2>/dev/null || echo '{}'
bash
cat "${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=[N workspaces/✗] | 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:

bash
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.


Share sub-menu (option g)

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]

Share content generation

Generate a share-ready message. Never include secrets, tokens, or private project names. Only share:

  • Plugin version
  • Number of integrations configured
  • Number of projects managed
  • OS and system info
  • Feature highlights used

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

Share actions

OptionAction
X/TwitterCopy text to clipboard + open https://twitter.com/intent/tweet?text=... via open (macOS) or xdg-open (Linux)
SlackSend via /ops:ops-comms slack with generated message
EmailDraft via gog gmail send or copy to clipboard
Clipboardpbcopy (macOS) / xclip -selection clipboard (Linux) / clip.exe (WSL)
ExportWrite a ~/.claude-ops-setup.md file with full (sanitized) setup guide for sharing with teammates

FAQ sub-menu (option ?)

When user selects ? (or faq/help/wiki):

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 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
──────────────────────────────────────────────────────

FAQ answers

| # | 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 | WhatsApp | Check bridge liveness: lsof -i :8080 | grep LISTEN. If not running, prompt restart: launchctl kickstart -k gui/$(id -u)/com.${USER}.whatsapp-bridge. Check launchctl list com.${USER}.whatsapp-bridgefor status. If store locked:kill $(pgrep whatsapp-bridge). | | 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. | | 11 | Smart-home (Homey) | Run /ops:setup --section home to configure Homey Pro. Once set, hotkey h and /ops:ops-home are routable. Status dot on the dashboard: green = all devices online + no alarms, yellow = device offline, red = active critical alarm. |

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.


Return-to-dash loop

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:

bash
${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
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

If $ARGUMENTS is back

Re-render the dashboard and enter routing loop.

If $ARGUMENTS is settings

Jump directly to settings sub-menu (skip dashboard render).

If $ARGUMENTS is share

Jump directly to share sub-menu.

If $ARGUMENTS is faq

Jump directly to FAQ sub-menu.

Setup gate

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.

Windsor.ai (optional live data)

If Windsor.ai is connected (mcp__*Windsor*__* or a windsor_api_key), use it as the live cross-channel source for all live KPIs (spend, ROAS, CAC, sessions, social reach) for the command-center tiles, flagging deviations vs 7d/30d. Map accounts per project via registry.json → .projects[].windsor. Prefer blended ROAS (store/analytics revenue ÷ total ad spend) over platform-reported ROAS. See docs/integrations/windsor-ai.md for the full playbook (REST + MCP modes, registry mapping, analysis mandate, and caveats). Data sanity: if Windsor returns only zeros across sources (Meta + Google spend/impressions and Instagram reach all exactly 0 over 30d while accounts are connected), treat the data as unavailable — the plan may be expired (check get_current_user → is_paid) — warn the user, and never present zeros as real metrics. scripts/windsor-data-sanity.sh automates the check.

Windsor is optional. If Windsor is not connected, returns errors, or returns the all-zero pattern, fall back to the free direct libraries: scripts/lib/ad-spend-aggregator.sh (paid), scripts/lib/ga4-data-api.sh (analytics), and scripts/lib/organic-metrics-aggregator.sh (organic + merchant). See docs/integrations/direct-channel-wiring.md. Never present zeros from a dead source as real metrics.

Additional resources

CLI detail: references/cli.md.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ops Dash AI skill do?

OPS on-demand: This skill should be used when the user asks to "ops dashboard", "pixel HQ", or…

Why use Ops Dash on TypingMind?

Because you install it once and use it with any model. Ops Dash 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 Dash 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-dash. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ops Dash?

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 Dash?

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

Is the Ops Dash 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.

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