Token-efficient morning briefing. Pre-gathers all data via shell scripts, then presents a unified business dashboard with prioritized actions.
npx skills add https://github.com/davepoon/buildwithclaude --skill ops-go
Before executing, load available context:
${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.jsonowner — use in the greeting header ("Good morning, [owner]")timezone — display all timestamps in this timezonedefault_channels — which channels to include in unread summary${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.jsonaction_needed is not null → surface it before the briefingwacli-sync status before including WhatsApp unread counts~/.wacli/.health for live auth status~/.wacli/.health shows status=connected.Health file — check ~/.wacli/.health BEFORE any wacli command:
status=connected → proceedstatus=needs_auth or status=needs_reauth → prompt user for QR scan| Command | Usage | Output |
|---------|-------|--------|
| wacli doctor --json | Check auth/connected/lock/FTS | {data: {authenticated, connected, lock_held, fts_enabled}} |
| wacli chats list --json | All chats | {data: [{JID, Name, Kind, LastMessageTS}]} |
| Command | Usage | Output |
|---------|-------|--------|
| gog calendar events primary --today --json | Today's calendar events | Calendar events |
| gog gmail search -j --results-only --no-input --max 30 "in:inbox" | Search inbox | JSON array of threads |
If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when gathering briefing data in parallel. This enables:
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.
All data below was collected by shell scripts in <10 seconds:
${CLAUDE_PLUGIN_ROOT}/bin/ops-infra 2>/dev/null || echo '{"clusters":[],"error":"infra check failed"}'
${CLAUDE_PLUGIN_ROOT}/bin/ops-git 2>/dev/null || echo '[]'
${CLAUDE_PLUGIN_ROOT}/bin/ops-prs 2>/dev/null || echo '[]'
${CLAUDE_PLUGIN_ROOT}/bin/ops-ci 2>/dev/null || echo '[]'
${CLAUDE_PLUGIN_ROOT}/bin/ops-unread 2>/dev/null || echo '{}'
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
${CLAUDE_PLUGIN_ROOT}/bin/ops-external 2>/dev/null || echo '[]'
gog calendar events primary --today --json 2>/dev/null | head -20 || echo "calendar unavailable"
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]
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)"]
UNREAD
[WhatsApp: N, Email: N, Slack: check MCP, 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 > 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: if the pre-gathered data shows "count": -1, use mcp__claude_ai_Slack__slack_search_public_and_private with query in:channel (NOT is:unread — scan full recent activity) to get actual message counts. Do this as a parallel tool call while analyzing other data.
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.
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.
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.
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")
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
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Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
Take davepoon/ops-go from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.