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Ops Go

Organization
Lifecycle-Innovations-Limited
ops-go

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

Overview

PublisherLifecycle-Innovations-Limited
Repositoryclaude-ops
Skill nameops-go
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 Go 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-go
  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-go .claude/skills/ops-go
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ops Go 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 Go 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 Go 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 ► MORNING BRIEFING

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 executing, load available context:

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

    • owner — use in the greeting header ("Good morning, [owner]")
    • timezone — display all timestamps in this timezone
    • default_channels — which channels to include in unread summary
  2. Daemon health: Read ${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json

    • If action_needed is not null → surface it before the briefing
    • Check whatsapp-bridge status before including WhatsApp unread counts
    • Also check bridge liveness: lsof -i :8080 | grep LISTEN
  3. WhatsApp pre-check: Only include WhatsApp data if bridge is running (lsof -i :8080 | grep LISTEN).

CLI/API Reference

whatsapp-bridge (WhatsApp — mcpwhatsapp*)

Bridge health — check before any WhatsApp operation:

  • Running: lsof -i :8080 | grep LISTEN → proceed
  • Not running → launchctl kickstart -k gui/$(id -u)/com.${USER}.whatsapp-bridge, wait 5s
ToolParamsOutput
mcp__whatsapp__list_chats{sort_by: "last_active"}Array of chats with jid, name, last_message_time
mcp__whatsapp__list_messages{chat_jid, limit, query}Message array with is_from_me, content, timestamp

gog CLI (Gmail/Calendar)

CommandUsageOutput
gog calendar events --all --today --json --sort startToday's events across all calendars (sorted by start time)Calendar events with CalendarID field for attribution
gog gmail search -j --results-only --no-input --max 30 "in:inbox"Search inboxJSON array of threads

Agent Teams support

If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when gathering briefing 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("go-team")
Agent(team_name="go-team", name="infra-scanner", prompt="Check ECS health, Vercel status, and CI failures across all clusters")
Agent(team_name="go-team", name="inbox-scanner", prompt="Scan unread messages across WhatsApp, Email, Slack, Telegram, Notion")
Agent(team_name="go-team", name="pr-scanner", prompt="Find open PRs needing action — reviews, CI fixes, merge-ready")
Agent(team_name="go-team", name="sprint-scanner", prompt="Check Linear sprint progress and GSD phase state across projects")

If the flag is NOT set, use standard fire-and-forget subagents.

Pre-gathered data

All data below was collected by shell scripts in <10 seconds.

FinOps snapshot (canonical state from finops-dashboard)

Pulls current burn, anomalies, and revenue from the dashboard. Fails open to {} if FINOPS_DASHBOARD_URL / FINOPS_OPS_API_TOKEN are unset — in that case the briefing falls back to the per-source data below.

${CLAUDE_PLUGIN_ROOT}/scripts/finops-bridge.sh snapshot 2>/dev/null || echo "{}"

Interpreting the snapshot — two different empty states, do NOT conflate:

  1. {} or unreachable → FINOPS_DASHBOARD_URL / FINOPS_OPS_API_TOKEN genuinely unset (or the dashboard is down). Report "FinOps creds unset" and fall back to per-source AWS Cost Explorer / Infrastructure below.
  2. Snapshot present (non-null generated_at) but services_tracked: 0 and all-zero current_month_spend/revenue_snapshot → dashboard reachable + authenticated, but its ingest pipeline is unpopulated. This is NOT a creds problem — do NOT report "token unset". Say "FinOps dashboard reachable but ingest empty" and fall back to per-source data for burn/revenue.

When the snapshot has non-zero services_tracked, prefer it for the burn/runway/anomaly lines. The per-source Infrastructure and AWS Cost Explorer sections below are the fallback for both empty states above.

If dashboard current_month_spend is ≈ $0, dual-check with the Usage-only helper below — credits often zero the net bill while real burn is hundreds/day.

AWS Usage burn (RECORD_TYPE=Usage — not credit-masked)

${CLAUDE_PLUGIN_ROOT}/scripts/aws-usage-cost.sh snapshot 2>/dev/null || echo '{}'

Render in the briefing under a short AWS BURN line: MTD usage $X · 7d avg $Y/day · EOM pace $Z · credits mask $W (do not treat net $0 as low spend). Flag a FIRE if any of the last 7 Usage days is >2× the 7d average.

Infrastructure

${CLAUDE_PLUGIN_ROOT}/bin/ops-infra 2>/dev/null || echo '{"clusters":[],"error":"infra check failed"}'

Git Status (all projects)

${CLAUDE_PLUGIN_ROOT}/bin/ops-git 2>/dev/null || echo '[]'

Open PRs

${CLAUDE_PLUGIN_ROOT}/bin/ops-prs 2>/dev/null || echo '[]'

CI Failures (last 24h)

${CLAUDE_PLUGIN_ROOT}/bin/ops-ci 2>/dev/null || echo '[]'

Unread Messages

${CLAUDE_PLUGIN_ROOT}/bin/ops-unread 2>/dev/null || echo '{}'

GSD State (active roadmaps)

for d in $(jq -r '.projects[] | select(.gsd == true) | .paths[]' "${CLAUDE_PLUGIN_ROOT}/scripts/registry.json" 2>/dev/null); do
  expanded="${d/#\~/$HOME}"
  if [ -f "$expanded/.planning/STATE.md" ]; then
    alias=$(basename "$expanded")
    phase=$(grep -m1 'current_phase' "$expanded/.planning/STATE.md" 2>/dev/null | head -1 || echo "unknown")
    progress=$(grep -m1 'progress' "$expanded/.planning/STATE.md" 2>/dev/null | head -1 || echo "unknown")
    echo "$alias: $phase | $progress"
  fi
done

Competitor Intel

source "${CLAUDE_PLUGIN_ROOT}/scripts/lib/competitor/context.sh" 2>/dev/null \
  && competitor_context --window-days 7 2>/dev/null \
  || echo '{"configured":false}'

External Projects (non-repo)

${CLAUDE_PLUGIN_ROOT}/bin/ops-external 2>/dev/null || echo '[]'

Marketing (live channel data per project)

${CLAUDE_PLUGIN_ROOT}/bin/ops-marketing-dash 2>/dev/null || echo '{}'

Home (smart-home — only if home_automation is configured)

if jq -e '.home_automation' "${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json" >/dev/null 2>&1; then
  ${CLAUDE_PLUGIN_ROOT}/bin/ops-home snapshot 2>/dev/null || echo '{"configured":true,"error":"home probe failed"}'
else
  echo '{"configured":false}'
fi

Calendar (today — all stores, not primary Google only)

Google Calendar and Notion calendars when Notion is configured. A miss on one store is not absence (Rule 9). Shows, travel, and appointments often live in a Notion show-schedule database and never sync to Google.

gog calendar events --all --today --json --sort start 2>/dev/null | head -60 || echo "calendar unavailable"

Events include a CalendarID field (e.g. work@example.com, personal@gmail.com). When rendering the briefing, attribute each event with a short calendar label in parentheses — derive it from the CalendarID domain or summary (e.g. work account → (work), personal Gmail → (personal)). Show total count + top 3 events sorted by start time with format: HH:MM Title (calendar).

Notion calendars (required when Notion is configured): read $PREFS_PATH .channels.notion.calendars (array of {name, data_source_url} — owner-local). If empty, mcp__claude_ai_Notion__notion-search for databases titled like "Show Schedule", "Calendar", "Appointments", then notion-fetch + notion-query-data-sources for today. Merge those rows into the briefing labelled (notion). Do not report "no events today" until both Google --all and this Notion query have run.

Fallback: if gog is unavailable and GOOGLE_CALENDAR_IDS env var is set (comma-separated calendar IDs), fetch each ID individually:

for id in $(echo "$GOOGLE_CALENDAR_IDS" | tr ',' '\n'); do
  gog calendar events "$id" --today --json 2>/dev/null
done

Your task

Analyze ALL the pre-gathered data above and present it as a morning briefing. Follow the ops-briefing output style.

Format:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 OPS ► MORNING BRIEFING — [DATE]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

FIRES (fix now)
[table of production issues, CI failures, broken deploys]

AWS BURN (Usage only — not credit-masked net)
 MTD usage $[X] · 7d avg $[Y]/day · EOM pace $[Z] · credits mask $[W]
 Top: [service $a] · [service $b] · [service $c]
[If any day >2× 7d avg: flag as FIRE. Never report plain CE net ≈$0 as low spend.]

PRs NEEDING ACTION
[table: repo, PR#, title, status, action needed]

PORTFOLIO DASHBOARD
[table: project, phase, branch, uncommitted, CI, next action]

EXTERNAL PROJECTS
[table: alias, source, status, details — from ops-external data]

MARKETING
 Health: [N]/100 ([Healthy/Warning/Critical])  |  Blended ROAS: [X]x  |  Top channel: [channel]
 Meta: $[X] spent (7d) [X]x ROAS  |  Google: $[X] spent (7d) [X]x ROAS  |  Email: [N] subs
[If health < 70: "⚠ Run /ops:marketing optimize for recommendations"]
[If no marketing configured: "(marketing not configured — /ops:marketing setup)"]

COMPETITOR    <brand>: N alerts · M med deltas · last run YYYY-MM-DD
              <top high-severity event snippet, 1 line, truncated 140 chars>
[If competitor data returns {configured:false}, omit this section entirely — no "(not configured)" noise]
[Mobile mode (Rule 7): compress to one line: "comp: N alerts (top: brief snippet)"]

HOME
 Power: [X]W now · [Y]kWh today  |  Alarms: [N] active ([severity])  |  Presence: [home/empty since HH:MM]  |  Last flow: [name @ HH:MM]
[If home data returns {configured:false}, omit this section entirely — no clutter]
[If critical alarm active (smoke/water/security): prepend `⚠ CRITICAL` and route to FIRES at top]

UNREAD
[WhatsApp: N, Email: N, Slack: N workspace(s) configured (no scan), Notion: N items, Calendar: N events today]

TODAY'S PRIORITIES (ranked by revenue impact + urgency)
1. [action] — [project] — [why]
2. ...
3. ...

──────────────────────────────────────────────────────

Marketing section data source: Read from ops-marketing-dash pre-gathered output (see Pre-gathered data section). If marketing data is present in the dash output, compute the health score inline (see ops-marketing SKILL.md health score formula). If ops-marketing-dash is not configured or returns empty marketing data, show (marketing not configured — /ops:marketing setup).

Priority ranking: fires > degraded infra > CI failures > competitor alerts (high-severity, last 24h) > unread comms > ready-to-merge PRs > revenue-generating GSD work > stale projects.

If $ARGUMENTS contains a project alias, focus the briefing on that project only.

After the briefing, use batched AskUserQuestion calls (max 4 options each) for the "What's next?" prompt. Show the top 3 priority actions + [More...] in the first call, then remaining actions + [/ops-yolo — let me run your business today] in the second call. Route to the appropriate ops skill or project.

For Slack counts: read the channels.slack object from the pre-gathered data and surface workspace presence ONLY. Do NOT auto-scan Slack workspaces during briefings — Slack scans are expensive, noisy, and frequently produce stale/unread counts that don't match the user's actual triage state. The user explicitly opted out of auto-scan on briefing surfaces.

  • If workspaces array is present: render Slack: N workspace(s) configured (<name1>, <name2>) — run /ops:ops-inbox to scan.
  • If available: false for all workspaces: show Slack: not configured and skip.
  • Never call mcp__claude_ai_Slack__* or curl Slack APIs from this skill. Defer all Slack scans to /ops:ops-inbox where the user explicitly opts in.

For Notion counts: if NOTION_MCP_ENABLED=true and pre-gathered data shows Notion as available, use mcp__claude_ai_Notion__notion-search with query: "" sorted by last_edited_time descending to surface recently active pages. Then call mcp__claude_ai_Notion__notion-get-comments on the top results to find comments needing response. Note: Notion search does not support date range filters — sort by recency and limit to the first 10-20 results instead.


Native tool usage

Tasks — briefing action tracking

After presenting the briefing, create a TaskCreate for each recommended priority action. As the user works through them (or delegates via skill routing), update with TaskUpdate. This gives continuity across the session.

Cron — scheduled briefings

After the first briefing, offer to schedule recurring briefings via AskUserQuestion:

  [Schedule daily at 9am]  [Schedule weekday mornings]  [No schedule]

Use CronCreate to set up the schedule. Show existing schedules with CronList.

WebFetch — calendar enrichment

When gog calendar fails, use WebFetch with the Google Calendar API as fallback:

WebFetch(url: "https://www.googleapis.com/calendar/v3/calendars/primary/events?timeMin=<today>T00:00:00Z&timeMax=<today>T23:59:59Z")

Ledger Integration

CLAIM_KEY: daily-brief:<YYYY-MM-DD> (e.g. daily-brief:2026-05-28)

Pre-flight skip-check

Before generating the briefing, check whether one was already produced today:

bash
BRIEF_DATE=$(date +%Y-%m-%d)
CLAIM_KEY="daily-brief:${BRIEF_DATE}"
ledger query --claim-key "$CLAIM_KEY" --since=-PT24H

If the query returns a done or in_progress entry, surface it to the user ("Briefing already ran today at HH:MM — rerun?") instead of re-fetching all sources.

Claim + resolve

bash
# Claim at briefing start
ledger write \
  --claim-key "$CLAIM_KEY" \
  --kind "file" \
  --status "in_progress" \
  --title "Morning briefing ${BRIEF_DATE}" \
  --ttl-sec 86400

# Resolve after briefing is presented to the user
ledger write \
  --claim-key "$CLAIM_KEY" \
  --kind "file" \
  --status "done" \
  --title "Morning briefing ${BRIEF_DATE}" \
  --context "N fires, N PRs, N unread"

Frequently asked questions

What does the Ops Go AI skill do?

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

Why use Ops Go on TypingMind?

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

Which AI models can use Ops Go?

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 Go?

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

Is the Ops Go 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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