briefing
Daily briefing: gathers calendar (gcalcli-calendar), active todos (todo-management), and weather (openmeteo-sh-weather-simple) into a concise summary.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/lstpsche/briefingBriefing
Compose a daily briefing using companion skills. Each source is optional — skip it if the skill is not available.
Sources
Three companion skills. Skip any that are not in the available skills list:
- Calendar —
gcalcli-calendar - Todos —
todo-management - Weather —
openmeteo-sh-weather-simple(requires a default city/country in session context)
If none of the three are available — tell the user you have nothing to build a briefing from and stop. Do not fabricate a briefing.
Briefing day
Decide whether the user's day is effectively over based on current time and today's remaining calendar events.
- Day still active -> briefing covers today.
- Day winding down -> briefing covers tomorrow.
Todos are not date-bound — always show active items.
Gather
For each available source, read its SKILL.md before calling any commands.
Calendar
- Read
gcalcli-calendarSKILL.md. - Fetch the briefing day's agenda.
- If no events — note it.
Todos
- Read
todo-managementSKILL.md. - List active/pending items.
- If none — note it.
Weather
- Get the briefing day's conditions and forecast. Use the user's default city/country from session context.
- Commands (always use
--llm):- Today:
openmeteo weather --current --forecast-days=1 --city="{city}" --llm - Tomorrow:
openmeteo weather --current --forecast-days=2 --forecast-since=2 --city="{city}" --llm
- Today:
On errors
If a command fails, skip that section and mention the failure briefly. Do not retry more than once. Never fabricate data.
Compose
Build a single message. Include only sections whose skill was available. If a skill returned no data, still include the section with a one-line note.
Structure
- Title line — compact: date, day-of-week, time. E.g.
Брифинг 14.02 (пт, 8:12). If briefing day is tomorrow, say so. - Weather — 1–2 lines: temperature, sky, anything notable.
- Calendar — briefing day's events, chronologically. Format:
HH:MM — Title. All-day events first. If empty: one line noting no events. - Upcoming — next 2-3 days' notable events (if any), one line per day. Omit if nothing notable.
- Todos — active items, briefly. Higher priority first if supported. If empty: one line noting no todos.
Example output
Follow this format exactly in the user's language:
Briefing 14.02 (Sat, 8:12)
**🌤 Weather (London, UK)**
+2°C, cloudy, wind 11 km/h. Daytime to -3°C, light rain.
**📅 Calendar**
09:00 — Standup
14:00 — Sprint review
18:30 — Driving school
**🔜 Upcoming**
• 15.02: Free day.
• 16.02: Daily standup 12:00, Driving school 18:30.
**✅ Todos**
• [work] Debug feature X.
• [personal] Book a doctor's appointment.
Note: bold header → content immediately on next line (zero blank lines); one blank line between sections; no trailing question or CTA.
Formatting rules (strict)
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-lstpsche-briefing": {
"enabled": true,
"auto_update": true
}
}
}Related Skills
todo-management
Per-workspace SQLite todo manager (./todo.db) with groups and task statuses (pending/in_progress/done/skipped), operated via {baseDir}/scripts/todo.sh for adding, listing, editing, moving, and removing entries and managing groups.
gcalcli-calendar
Google Calendar via gcalcli: today-only agenda by default, bounded meaning-first lookup via agenda scans, and fast create/delete with verification--optimized for low tool calls and minimal output.
Gog Calendar
Skill by lstpsche
openmeteo-weather
Get current weather, hourly and daily forecasts for any city or coordinates worldwide. Use when the user asks about weather, temperature, rain, snow, wind, sunrise/sunset, UV, humidity, pressure, or wants to know if they need an umbrella.
openmeteo-sh-weather-advanced
Advanced weather from free OpenMeteo API: historical data, detailed variable selection, model choice, past-days, and in-depth forecasts. Use when the user asks about historical weather, specific weather models, niche variables (pressure, dew point, snow depth, etc.), or needs fine-grained control beyond simple current/forecast queries.