Generated banner for Daily Prep
Generated logo for Daily Prep

Daily Prep

GitHubOfficialFirst committed by onsenturkDistributed by GitHub

  • Skill
  • Content generator
  • Business and productivity
  • MIT
  • No issues found

From the author

Prepare for tomorrow's meetings and tasks. Pulls calendar from Outlook via WorkIQ, cross-references open tasks and workspace context, classifies meetings, detects conflicts and day-fit issues, finds learning and deep-work slots, and generates a structured HTML prep file with productivity recommendations.
— the description by onsenturk

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

Daily Prep is a workflow skill that helps users optimize their workday by synthesizing calendar data with task context. It evaluates upcoming meetings against an ideal day structure, identifies conflicts, suggests learning and deep-work blocks, and provides actionable productivity recommendations. The output is a self-contained HTML file that serves as a comprehensive briefing for the next working day.

What it does

  • Fetches calendar data to identify meetings and attendee context.
  • Classifies meetings by type and applies zone-based scheduling rules.
  • Detects scheduling conflicts and day-fit issues against an ideal routine.
  • Enriches meeting details with relevant tasks and workspace context.
  • Calculates available time for learning and deep work.
  • Generates a formatted HTML report with productivity scores and decline recommendations.

When to use it

  • At the end of the workday to prepare for the following day.
  • When planning for specific future dates to identify potential scheduling issues.
  • During weekly planning sessions to assess workload distribution.
  • When you need to reclaim time for deep work or professional development.

Advantages

  • Provides a clear, data-driven assessment of your daily schedule.
  • Proactively identifies meetings that disrupt deep work or learning goals.
  • Offers specific recommendations for declining non-essential meetings.
  • Integrates task context to make meeting preparation more efficient.
  • Maintains a consistent, structured format for daily planning.

Usage examples

“Prepare me for tomorrow”
The agent analyzes your calendar for the next day, cross-references your tasks, and generates an HTML file with your schedule, prep bullets, and focus recommendations.
“What does Friday look like?”
The agent evaluates your Friday schedule, flags any after-hours or conflicting meetings, and suggests optimal slots for deep work.
“Daily prep for March 28”
The agent creates a structured prep report for the specified date, including a day-fit score and a list of recommended meetings to decline.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/github/daily-prep/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip daily-prep.zip -d .agents/skills

Documentation by onsenturk

Daily Prep

Generate a structured prep file for the next working day with meeting details, prep bullets, linked tasks, and productivity recommendations.

When to Use

  • End of day: "prepare me for tomorrow"

  • Any time: "prep me for Friday" or "what does March 25 look like?"

  • Weekly planning: run for multiple days

Procedure

1. Determine Target Date

If the user specifies a date, use it. Otherwise, default to tomorrow (current date + 1 day). If tomorrow is Saturday, default to Monday. If Sunday, default to Monday. Compute the output path: outputs/YYYY/MM/YYYY-MM-DD-prep.html

2. Pull Calendar via WorkIQ

Use the WorkIQ MCP tool to fetch the calendar. Ask WorkIQ:

"What meetings do I have on {target date}? For each meeting, include: subject, start time, end time, organizer, all attendees with their email addresses, location, whether it's online, and whether I've accepted or declined."

If the response is insufficient, make a follow-up query:

"For the meetings on {target date}, which ones are marked as optional or tentative? Which ones are recurring?"

3. Classify Each Meeting

Apply these labels based on attendee domains and subject:

LabelCriteria
[Customer · HIGH]External attendees from customer/partner domains, or subject matches a known customer name
[Internal]Only internal company domain attendees
[Community]CoP, community, guild, learning sessions
[Upskilling]Training, workshop, certification, learning
[Optional · skip]Tentative, low importance, or known recurring optional (e.g., "Office Hours", "Open Q&A")
[Personal]Private events, non-work
Zone Markers

For every meeting, check the organizer field and apply these additional markers:

ConditionMarkerAction
Starts ≥ 15:30 and < 16:00 (any organizer)⚠️ After-hoursRecommend decline
Starts ≥ 16:00 and not self-organized⚠️ After-hoursRecommend decline
Starts ≥ 16:00 and self-organized(no flag)OK — you chose to schedule it
Before 09:00 and not self-organized⚠️ EarlyRecommend decline — intrudes on learning window
Before 09:00 and self-organized(no flag)OK — you chose to schedule it
Overlaps 12:00–13:00🍽️ Lunch conflictNote in Calendar Notes

"Self-organized" means you are the meeting organizer (check the organizer field from WorkIQ).

4. Ideal Day Structure

Use this as the decision framework for all analysis steps. Every meeting must be evaluated against these zones. Users should adapt these times and targets to their personal routine.

ZoneTimePurposeRules
Morning FocusBefore 09:00Admin, learning, personal workProtect from others' meetings. Flag external events.
Customer Zone09:00–12:00Customer / external meetingsMax 2 customer meetings. Prefer mornings for external calls.
Lunch12:00–13:00BreakProtected. Flag any overlap.
Deep Work13:00–15:30Deliverables, focused coding/writingMinimize meetings. Flag non-essential meetings as deep work disruption.
Protected (strict)15:30–16:00End of day wind-downFlag all meetings regardless of organizer.
Protected (flex)16:00+End of dayFlag others' meetings only. Self-organized OK.

Targets per day:

  • Learning hours: 1.5h (from morning focus + gap time)

  • Deep work hours: 2.5h (13:00–15:30 zone)

  • Customer meetings: max 2 (preferably in 09:00–12:00)

5. Detect Conflicts & Day Fit Issues

Compare event time windows. Flag overlaps in a Conflicts table with a recommendation for each — prioritize customer meetings over internal/optional.

Also detect these day fit issues (report in a separate "Day Fit Issues" table):

CheckConditionFlag
Customer overload>2 [Customer · HIGH] meetingsFlag 3rd+ as "Consider rescheduling to another day"
Deep work disruptionNon-essential meetings in 13:00–15:30 zone"Disrupts deep work — consider moving to morning"
Non-ideal placementCustomer meetings outside 09:00–12:00"Customer meeting outside preferred morning zone"
Early intrusionOthers' meetings before 09:00"Intrudes on learning window — recommend decline"
Lunch conflictMeeting overlaps 12:00–13:00"Conflicts with lunch break"
6. Gather Context from Workspace
  1. Read open task files for tasks related to customer names or attendees in tomorrow's meetings

  2. Search workspace folders for recent files related to those customers or topics

  3. Check recent meeting summaries or plans for relevant prep context

  4. Use this to generate actionable prep bullets per meeting

7. Generate Prep per Meeting

For each meeting (chronological), include:

  • Time, subject, organizer

  • Attendee list (first name, company if external)

  • 3–5 actionable prep bullets based on open tasks, recent summaries, and meeting subject

  • If no context available, note what to ask/clarify in the meeting

8. Find Learning & Focus Slots

After generating prep per meeting, analyze the day's schedule to find open slots:

  1. Morning Focus confirmation — Verify the morning focus window is clear. If any non-self-organized event exists there, flag it.

  2. Learning Slots — Find gaps ≥ 30 min in the morning window and any other free slots suitable for upskilling. Target: 1.5h/day. For each slot: time range, duration, suggested activity.

  3. Deep Work Blocks — Find continuous free gaps in the 13:00–15:30 zone for deliverables. For each block: time range, duration, suggested task from open tasks.

  4. Report totals:

    • Learning hours found vs. 1.5h target (e.g., "1.0h / 1.5h target — 0.5h short")

    • Deep work hours available in 13:00–15:30 (e.g., "2.0h / 2.5h available")

9. Productivity Recommendations

Analyze the full day and provide:

SectionWhat to Include
Day Fit ScoreRate 0–100% how well the day matches the Ideal Day Structure. Criteria: (1) morning focus clear (+20%), (2) ≤2 customer meetings in 09:00–12:00 (+20%), (3) lunch 12:00–13:00 protected (+15%), (4) deep work 13:00–15:30 intact (+20%), (5) nothing after 15:30 or only self-organized after 16:00 (+15%), (6) ≥1h learning slots found (+10%). Show as: 🟢 ≥80%, 🟡 50–79%, 🔴 <50%.
Day ShapeTotal meeting hours, focus time available, learning hours, deep work hours, heavy/moderate/light assessment
Decline CandidatesAuto-include: (1) all meetings 15:30–16:00, (2) others' meetings ≥16:00, (3) others' meetings <09:00, (4) 3rd+ customer meeting, (5) optional meetings during deep work zone. Show "Reclaim" column with minutes recovered. Self-organized meetings before 09:00 or after 16:00 are excluded from auto-decline.
Conflict ResolutionSpecific recommendation for each overlap
Learning SlotsGaps for upskilling — from Step 8. Table: Window, Duration, Suggested Activity. Show total vs. 1.5h target.
Deep Work BlocksFree gaps in 13:00–15:30 for deliverables — from Step 8. Table: Window, Duration, Suggested Task.
Energy ManagementFlag if >3h back-to-back customer meetings without a break
Top 3 PrioritiesThe 3 most impactful things to accomplish (meetings + tasks combined)
10. Write the File

Create the output file at outputs/YYYY/MM/YYYY-MM-DD-prep.html as a self-contained HTML file with embedded CSS (dark theme, color-coded timeline, responsive layout).

If a file already exists for that date, read it first and update rather than overwrite — the user may have added manual notes.

Example Prompts

  • "Prepare me for tomorrow"

  • "What does Friday look like?"

  • "Daily prep for March 28"

  • "Prep me for next Monday — focus on customer meetings"

Requirements

  • WorkIQ MCP tool must be available for calendar access (Microsoft 365 / Outlook)

  • A workspace with task files and customer/project folders for context enrichment

  • Output is self-contained HTML — no external dependencies

Files

Requirements and compatibility

Written for: GitHub Copilot

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

First committed by
GitHub avatar of onsenturkonsenturk
Publisher
GitHub (Official)
Distributed by
GitHub
Source
github/awesome-copilot · skills/daily-prep · commit 797337f
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced
Contributors
onsenturk

AutoGineer is not affiliated with or endorsed by onsenturk or GitHub.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download daily-prep.zip