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Productivity

5 use cases
📋 Productivity

Summarise my last 20 emails and tell me what needs my attention today.

Reads your last 20 emails via Gmail skill
Categorises each as Action Required / FYI / Junk
Returns a prioritised list with one-line summaries
📋 Productivity

Every Monday at 8 AM, send me a briefing of my week ahead — calendar, top emails, and weather.

Reads Google Calendar for the week's events
Scans unread emails from the weekend
Fetches local weather forecast
Sends formatted briefing to WhatsApp or Telegram
📋 Productivity

Take notes from this meeting recording and create action items for each person.

Transcribes the audio file with Whisper skill
Identifies speakers and key decisions
Extracts action items with owner and deadline
Exports a formatted Markdown notes file
📋 Productivity

Draft a reply to this email from a client asking about project status.

Reads the client's email thread for context
Checks memory for relevant project notes
Drafts a professional reply matching your tone
Queues draft for your review before sending
📋 Productivity

Organise my Downloads folder — sort files by type and delete anything older than 6 months.

Scans Downloads folder and maps file types
Creates subfolders: Images, Docs, Archives, etc.
Identifies files older than 180 days
Lists files for deletion and asks your approval

Research

4 use cases
🔬 Research

Research my top 5 competitors and give me a one-page summary of each with their pricing and key differentiators.

Searches the web for each competitor
Reads their websites, pricing pages, and reviews
Saves structured findings to memory
Returns a formatted comparison report
🔬 Research

Find all peer-reviewed papers published in 2024 on LLM hallucination reduction and summarise the top 5.

Searches arXiv and Google Scholar
Reads abstracts and methodology sections
Ranks by citation count and relevance
Produces 5 structured summaries with links
🔬 Research

What are people saying about my brand on Reddit and Twitter this month? Summarise the sentiment.

Searches Reddit and Twitter for brand mentions
Runs sentiment analysis on each mention
Categorises: positive / neutral / negative
Returns summary with notable quotes
🔬 Research

Research the best neighbourhoods to live in Austin, TX for a family with a $600k budget. Compare 5 options.

Searches real estate sites and local forums
Pulls school ratings, crime stats, commute data
Filters by median home price within budget
Returns scored comparison table of 5 neighbourhoods

Coding

4 use cases
💻 Coding

Find every TODO comment in my codebase and create a prioritised GitHub issue for each one.

Scans all files for TODO / FIXME / HACK comments
Scores each by surrounding code complexity
Creates GitHub issues via API with labels
Returns a summary list with issue links
💻 Coding

Write unit tests for every function in auth.py that doesn't already have one.

Reads auth.py and maps all function signatures
Checks existing test files for coverage gaps
Writes pytest tests with edge cases
Runs tests and fixes any that fail
💻 Coding

Monitor my production API every 5 minutes and alert me on Slack if response time exceeds 2 seconds.

Schedules a ping every 5 minutes
Calls the API endpoint and measures latency
Compares against 2-second threshold
Posts alert to #alerts Slack channel if breached
💻 Coding

Review this pull request for security vulnerabilities and potential bugs before I merge it.

Fetches PR diff from GitHub API
Checks for SQL injection, XSS, secrets in code
Identifies logic errors and unhandled edge cases
Posts inline review comments on the PR

Finance

4 use cases
💰 Finance

Pull my last 3 months of transactions, categorise them, and show me where I'm overspending.

Connects to bank via Plaid skill
Categorises: food, transport, subscriptions, etc.
Calculates monthly averages per category
Flags categories 20%+ above prior month
💰 Finance

Alert me whenever a subscription charge appears that I haven't seen before.

Monitors bank transactions in real time
Compares new charges against memory of known subs
Flags any new recurring charge immediately
Sends alert to WhatsApp with charge details
💰 Finance

Every Friday, generate a P&L summary from my QuickBooks data and email it to me.

Connects to QuickBooks via API skill
Pulls revenue, expenses, and net profit for the week
Compares to prior week and monthly trend
Emails a formatted HTML report every Friday at 5 PM
💰 Finance

Read this invoice PDF and add the line items to my expense tracker spreadsheet.

Reads and parses the PDF invoice
Extracts vendor, date, line items, and totals
Appends rows to the expense tracker XLSX
Confirms rows added with a summary

Marketing

5 use cases
🛍️ E-commerce

My Shopify store got 3 new orders overnight — process them, email the customers, and flag any out-of-stock items.

Fetches new orders via Shopify Admin API
Sends personalised confirmation emails to each customer
Checks inventory levels for each item ordered
Flags any out-of-stock SKUs in a Slack message
📣 Marketing

Write a week's worth of LinkedIn posts based on our latest blog article, with a different angle each day.

Reads the blog article and extracts key ideas
Generates 5 distinct angles (story, stat, tip, etc.)
Writes one post per angle with LinkedIn formatting
Saves drafts to a content calendar file
📣 Marketing

A/B test subject lines for this email campaign — write 5 variants and predict which will perform best.

Generates 5 subject line variants with different tactics
Scores each on curiosity, urgency, and clarity
Benchmarks against industry open-rate data
Ranks variants with reasoning for top pick
📣 Marketing

Monitor my Google Ads every morning and pause any ad with a CTR below 1% for 3 days straight.

Pulls daily performance data from Google Ads API
Identifies ads with CTR < 1% for 3+ days
Pauses underperforming ads automatically
Emails a daily report of changes made
📣 Marketing

Find 20 micro-influencers in the fitness niche with 10k–100k followers and compile their contact details.

Searches Instagram and TikTok via scraping skill
Filters by follower count and engagement rate
Finds public contact emails from bios and websites
Exports a clean XLSX with all details

Personal

4 use cases
🌱 Personal

Plan a 10-day trip to Japan for two people in April with a $5,000 budget. Include flights, hotels, and a day-by-day itinerary.

Searches for flights within budget via travel skill
Finds hotels with good reviews in each city
Builds a day-by-day itinerary with activities
Produces a budget breakdown staying under $5k
🌱 Personal

Track my daily habits this week — exercise, water intake, and sleep — and give me a Friday review.

Accepts daily check-in via WhatsApp message
Logs each entry to memory with date and time
Calculates weekly averages and streaks
Sends a Friday summary with encouragement
🌱 Personal

Find the best 4-bedroom house listings in Denver under $700k that were posted in the last 7 days.

Searches Zillow and Realtor.com with filters
Filters to listings posted in the last 7 days
Ranks by price per sqft and walkability score
Returns top 10 with photos, prices, and links
🌱 Personal

Write a personalised birthday message for my colleague Sarah based on what I know about her interests.

Searches memory for notes about Sarah
Drafts a warm, personalised birthday message
Offers 3 tone variants: funny, heartfelt, professional
Optionally sends via email or Slack

Data

4 use cases
📊 Data

Clean this messy CSV — fix formatting, remove duplicates, standardise phone numbers, and export a clean version.

Reads the CSV and detects formatting issues
Removes duplicates and blank rows
Normalises phone numbers to E.164 format
Exports clean_data.csv with a change summary
📊 Data

Every night at midnight, pull today's sales from our database and update the executive dashboard.

Queries the Postgres database for today's orders
Calculates revenue, units sold, and top SKUs
Updates charts in the Google Sheets dashboard
Logs completion to audit trail
📊 Data

Analyse our customer churn data and identify the top 3 predictors of churn in the last quarter.

Reads the churn dataset from CSV
Runs Python correlation and feature importance analysis
Identifies top 3 churn predictors with scores
Returns plain-English insights with chart
📊 Data

Search through 500 customer support tickets from this month and find the 5 most common complaint themes.

Reads all 500 ticket texts
Clusters tickets by topic using embeddings
Ranks clusters by frequency
Returns top 5 themes with example tickets

Multi-Agent

3 use cases
🤖 Multi-Agent

Research our top 10 competitors in parallel, have a critic review each summary, then produce a final report.

Orchestrator spawns 10 research agents simultaneously
Each agent researches one competitor independently
Critic agent reviews each summary for accuracy
Orchestrator merges into one final report
🤖 Multi-Agent

Build a full product landing page — one agent writes copy, one designs the layout, one writes the code, one reviews.

Writer agent drafts headline, subheads, and body copy
Design agent specifies layout, colours, and sections
Code agent builds the full HTML/CSS page
Critic agent reviews UX and accessibility
🤖 Multi-Agent

Process 200 job applications in parallel — screen CVs against the job spec and rank the top 20 candidates.

Orchestrator shards 200 CVs into 20 batches of 10
20 reader agents screen one batch each
Each agent scores candidates against job spec
Orchestrator ranks all 200 and returns top 20

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