morning-briefing

krishagel/geoffrey · updated Apr 8, 2026

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$npx skills add https://github.com/krishagel/geoffrey --skill morning-briefing
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summary

Generates a daily morning briefing and delivers it three ways:

skill.md

Morning Briefing Workflow

Overview

Generates a daily morning briefing and delivers it three ways:

  1. Terminal: Summary displayed immediately
  2. Obsidian: Full briefing saved to daily note
  3. Email: Briefing text + audio podcast attachment

Location

  • Gig Harbor, WA - Use for weather queries

Phase 1: Gather Data

Execute these data gathering steps:

1.1 Calendar (Today's Events)

cd /Users/hagelk/non-ic-code/geoffrey/skills/google-workspace && bun calendar/list_events.js psd --today

Returns JSON with today's events including:

  • Event summary, location, start/end times
  • Attendees and response status
  • Hangout/meet links

Account: Use psd for work calendar

1.2 OmniFocus Tasks (Due & Flagged)

osascript -l JavaScript /Users/hagelk/non-ic-code/geoffrey/skills/morning-briefing/scripts/get_due_flagged.js

Returns tasks that are:

  • Due today or overdue
  • Flagged
  • Available (not blocked, not deferred to future)

1.3 Recent Emails (Last 24 Hours)

# Get yesterday's date in Gmail query format
YESTERDAY=$(date -v-1d +%Y/%m/%d)
cd /Users/hagelk/non-ic-code/geoffrey/skills/google-workspace && bun gmail/list_messages.js psd --query "in:inbox after:$YESTERDAY" --max 15

Returns recent inbox messages with:

  • From, subject, date, snippet
  • Whether read or unread
  • Thread ID for context
  • Labels array

Filtering: Only show emails still in inbox (not already labeled/processed).

  • Emails with custom labels (Label_XXXXX) have been sorted and should be excluded
  • Exception: Include emails with SaneCC or SaneLater labels (worth knowing about)
  • System labels (UNREAD, INBOX, CATEGORY_*, IMPORTANT) don't count as "processed"

Philosophy: Any email still in inbox from last 24 hours needs attention, read or not.

Account: Use psd for work email

1.4 Open Freshservice Tickets

bun /Users/hagelk/non-ic-code/geoffrey/skills/freshservice-manager/scripts/list_tickets.js '{"workspace_id": 2, "filter": "new_and_my_open"}'

Returns open tickets assigned to or created by user in Technology workspace.

1.5 Pending Approvals

bun /Users/hagelk/non-ic-code/geoffrey/skills/freshservice-manager/scripts/get_approvals.js requested

Returns service requests awaiting approval.

1.6 Weather

Use WebSearch:

Gig Harbor WA weather today forecast

Extract:

  • Current conditions
  • High/low temperature
  • Precipitation chance
  • Any alerts

1.7 EdTech News (with Synopses)

Use WebSearch:

K-12 education technology news past 24 hours January 2026

For each article found (3-5 articles):

  1. Use WebFetch to read the full article
  2. Extract a 2-3 sentence synopsis covering:
    • What happened / what's new
    • Why it matters for K-12 education
    • Key takeaway or action item

Freshness check: Verify article dates before including. Only include articles published within the last 24 hours. Skip older articles even if they appear in results.

Topics to cover:

  • EdTech product launches and updates
  • School technology policy changes
  • Cybersecurity in schools
  • Digital learning trends

1.8 AI News (with Synopses)

Use WebSearch:

artificial intelligence news past 24 hours January 2026 latest

For each article found (3-5 articles):

  1. Use WebFetch to read the full article
  2. Extract a 2-3 sentence synopsis covering:
    • What's the development
    • Industry impact
    • Relevance to education/work

Freshness check: Verify article dates before including. Only include articles published within the last 24 hours. Skip older articles even if they appear in results.

Topics to cover:

  • Major AI model releases and capabilities
  • AI policy and regulation
  • Enterprise AI adoption
  • AI research breakthroughs

1.9 K-12 Leadership News (with Synopses)

Use WebSearch:

K-12 school leadership superintendent news past 24 hours January 2026

For each article found (2-3 articles):

  1. Use WebFetch to read the full article
  2. Extract a 2-3 sentence synopsis covering:
    • Policy or leadership development
    • Impact on districts/schools
    • Relevance to CIO/technology leadership

Freshness check: Verify article dates before including. Only include articles published within the last 24 hours. Skip older articles even if they appear in results.

Topics to cover:

  • State and federal education policy
  • Superintendent and board news
  • School funding and budgets
  • Workforce and staffing trends

1.9b School Safety & Security News (with Synopses)

Use WebSearch:

K-12 school safety security news past 24 hours January 2026

For each article found (3 articles):

  1. Use WebFetch to read the full article
  2. Extract a 2-3 sentence synopsis covering:
    • What happened / what's new
    • Impact on school safety practices
    • Key takeaway for districts

Freshness check: Verify article dates before including. Only include articles published within the last 24 hours. Skip older articles even if they appear in results.

Topics to cover:

  • School security incidents and responses
  • Safety policy changes
  • Emergency preparedness
  • Mental health and threat assessment
  • Physical security technology

1.10 Technology Team EOD Messages (Last Business Day) - DETAILED

Get end-of-day check-in messages from the Technology Staff space:

cd /Users/hagelk/non-ic-code/geoffrey/skills/google-workspace && bun chat/get_eod_messages.js psd spaces/AAAAxOtpv10 last-business-day

CRITICAL - NO HALLUCINATION:

  • ONLY use names that appear in the sender field of the script output
  • If script returns no messages, say "No EOD messages found"
  • If script returns messages with sender IDs instead of names, display the ID (e.g., "users/12345...")
  • NEVER invent names, locations, or accomplishments
  • Copy-paste approach: treat script output as source of truth

Before extracting team data:

  1. Examine the raw JSON output from the script
  2. List the exact sender values returned
  3. Use ONLY those names - no paraphrasing, no "improving"

CRITICAL: Extract FULL details from each team member's EOD message. Look for messages that contain "Today:" prefix - these are the detailed EOD summaries.

For each team member who posted an EOD summary:

  1. Name: Who posted (use EXACTLY the name from sender field)
  2. Location(s): Where they worked (WFH, DCRC, school sites)
  3. Key accomplishments: Specific tasks completed (not just "tickets")
  4. Notable items: Interesting problems solved, projects worked on
  5. Issues/blockers: Any problems mentioned

Example extraction from raw message:

Brad White:
- Location: TSD (Tech Services)
- Accomplished: Packaged Cinema 4D plugin for deployment, fixed OAuth blocking for Maxon App sign-in, created SwiftDialog notification for plugin installs, used Claude Code for first time to create Installomator label for Godot game engine
- Notable: Working on Unity deployment troubleshooting, burning comp time leaving early

Note: If today is Monday, "last business day" = Friday (or Thursday if Friday was a holiday).

1.10b Safety & Security Team EOD Messages (Last Business Day)

Get end-of-day check-in messages from the Safety & Security Staff space:

cd /Users/hagelk/non-ic-code/geoffrey/skills/google-workspace && bun chat/get_eod_messages.js psd spaces/AAAAFpQaAnA last-business-day

Space: PSD Safety & Security Team

CRITICAL - NO HALLUCINATION:

  • ONLY use names that appear in the sender field of the script output
  • If script returns no messages, say "No EOD messages found"
  • If script returns messages with sender IDs (e.g., "users/12345...") instead of names:
    • Display as: Unknown (users/123456...) - [Location from message content]
    • Add note: "Name not in mapping - update chat_user_mapping.json"
  • NEVER invent names, locations, or accomplishments
  • Copy-paste approach: treat script output as source of truth

Before extracting team data:

  1. Examine the raw JSON output from the script
  2. List the exact sender values returned
  3. Use ONLY those names - no paraphrasing, no "improving"

Extract using same format as Technology Team - names, locations, accomplishments, issues.

Note: If today is Monday, "last business day" = Friday (or Thursday if Friday was a holiday).

1.11 Team Completed Tickets (Last Business Day)

Get tickets closed by the Technology team on the last business day:

# First get the last business day
LAST_BIZ_DAY=$(bun /Users/hagelk/non-ic-code/geoffrey/skills/morning-briefing/scripts/get_last_business_day.js | jq -r '.date')

# Then get daily summary for that date
bun /Users/hagelk/non-ic-code/geoffrey/skills/freshservice-manager/scripts/get_daily_summary.js "$LAST_BIZ_DAY"

CRITICAL - NO HALLUCINATION:

  • ONLY use agent names that appear in the byAgent section of script output
  • Use EXACTLY the ticket counts returned by the script
  • NEVER invent names or ticket counts
  • If an agent's name shows as ID or email, display it as-is

Before reporting ticket stats:

  1. Examine the raw JSON output from get_daily_summary.js
  2. List the exact agent names from byAgent field
  3. Use ONLY those names and counts

Returns:

  • Total tickets closed
  • Breakdown by agent
  • Breakdown by category (Password Reset, Chromebook, etc.)
  • Automated vs agent-resolved

Workspace: Technology (workspace_id: 2)

1.12 Ticket Trends Analysis

Compare last business day to previous days for trends:

# Get last 5 business days of summaries for trend analysis
# The get_daily_summary.js script supports date parsing
bun /Users/hagelk/non-ic-code/geoffrey/skills/freshservice-manager/scripts/get_daily_summary.js "last monday"
bun /Users/hagelk/non-ic-code/geoffrey/skills/freshservice-manager/scripts/get_daily_summary.js "last tuesday"
# etc.

Analyze for:

  • Volume trends (increasing/decreasing)
  • Category spikes (sudden increase in specific issue types)
  • Agent workload distribution
  • Unusual patterns

1.13 Software Development Workspace Tickets

Get open tickets in the Software Development workspace:

bun /Users/hagelk/non-ic-code/geoffrey/skills/freshservice-manager/scripts/search_tickets.js "status:2 OR status:3" 13

Returns all open (status:2) and pending (status:3) tickets in the Software Development workspace.

Workspace ID: 13 (Software Development) Note: This is the user's internal software development bug tracker for AI Studio and other PSD applications.

1.14 Legislative Activity (Last Business Day)

Get K-12 education bills with activity since the last business day:

# Get lookback info and bills to check
bun /Users/hagelk/non-ic-code/geoffrey/skills/legislative-tracker/scripts/get_recent_bill_activity.js --last-business-day

This returns:

  • Date range to check (last business day → today)
  • List of ~143 confirmed education bill IDs
  • WebFetch instructions for each bill

Workflow:

  1. Get the output from get_recent_bill_activity.js
  2. WebFetch each bill URL (batch 5-6 in parallel for speed)
  3. Extract latest action date from each bill page
  4. Filter to bills where latest_action_date >= lookback_start
  5. Apply priority framework (HIGH/MEDIUM/LOW based on district impact)
  6. Include summary of what each bill does

On Monday: Lookback starts on Friday (or earlier if Friday was a holiday), so includes all weekend activity (hearings, votes, committee actions).

Example URLs to WebFetch:

  • https://app.leg.wa.gov/billsummary?BillNumber=1020&Year=2025
  • https://app.leg.wa.gov/billsummary?BillNumber=5038&Year=2025

Note: Only include bills that actually had activity. If no bills moved, output "No legislative activity since [date]".

Phase 2: Generate Briefing

2.1 Analyze & Prioritize

Review gathered data and identify:

  • Conflicts: Overlapping calendar events
  • Urgencies: Overdue tasks, high-priority tickets
  • Themes: Patterns across data sources

2.2 Format Markdown Briefing

Use this structure:

# Daily Briefing - [DATE]

## Weather
[Current conditions, high/low, precipitation]

## Today's Calendar
| Time | Event | Location |
|------|-------|----------|
| ... | ... | ... |

**Conflicts/Notes**: [any issues]

## Priority Tasks
### Due Today
- [ ] Task 1
- [ ] Task 2

### Flagged
- [ ] Task 3

### Overdue
- [ ] Task 4 (due [date])

## Recent Emails (Last 24h)
[X emails in inbox from last 24 hours]

### Needs Response
- From: [sender] - [subject] (snippet)
- From: [sender] - [subject] (snippet)

### FYI/Notifications
- [sender] - [subject]

## Freshservice
### Technology Tickets: [count] open
[Top 3-5 tickets by priority/age]

### Software Development Tickets: [count] open
[List tickets in Software Dev workspace]

### Pending Approvals: [count]
[List with ticket #, requester, summary]

## Team Activity (Last Business Day: [DAY, DATE])

**Data Source Verification (REQUIRED):**
- Technology EOD script returned: [X] messages from [list exact sender names from JSON]
- Safety & Security EOD script returned: [X] messages from [list exact sender names from JSON]
how to use morning-briefing

How to use morning-briefing on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add morning-briefing
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/krishagel/geoffrey --skill morning-briefing

The skills CLI fetches morning-briefing from GitHub repository krishagel/geoffrey and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/morning-briefing

Reload or restart Cursor to activate morning-briefing. Access the skill through slash commands (e.g., /morning-briefing) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.862 reviews
  • Shikha Mishra· Dec 20, 2024

    morning-briefing has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Noor Reddy· Dec 16, 2024

    Solid pick for teams standardizing on skills: morning-briefing is focused, and the summary matches what you get after install.

  • Kwame Liu· Dec 12, 2024

    Useful defaults in morning-briefing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ama Khan· Dec 12, 2024

    We added morning-briefing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Mia Harris· Dec 12, 2024

    Keeps context tight: morning-briefing is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Mateo Ghosh· Dec 8, 2024

    Registry listing for morning-briefing matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakura Sanchez· Dec 4, 2024

    morning-briefing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Arjun Menon· Nov 23, 2024

    Useful defaults in morning-briefing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Yash Thakker· Nov 11, 2024

    Keeps context tight: morning-briefing is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Xiao Singh· Nov 7, 2024

    I recommend morning-briefing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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