OpenClaw in Action
What Can OpenClaw Do?
Real prompts. Real steps. Browse the gallery to find tasks just like yours — then copy the prompt and run it yourself.
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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
Ready to Try One?
Pick any use case above, copy the prompt, and paste it into OpenClaw. Most beginner tasks work right out of the box.