dvcrn AI Opportunity Radar
Discover what in your life should be automated.
AI Opportunity Radar is a reflection skill that helps you observe your daily life from an AI perspective and identify tasks that could be automated.
Instead of filling out productivity forms, you simply talk about your day — like chatting with a thoughtful observer.
Over time, the AI detects patterns in your routines and surfaces automation opportunities.
Quick Pitch
AI Opportunity Radar helps you answer a simple question:
What in my life should be automated?
By asking a few small questions every day, the AI gradually detects:
- repetitive tasks
- frustrating workflows
- hidden time sinks
- structured manual processes
Then it suggests AI agents or automations that could help.
Easy Setup (Recommended)
You can install AI Opportunity Radar directly from the chat where you want to receive reflections.
Simply tell OpenClaw:
Install AI Opportunity Radar in this chat.
Ask me the 5 reflection questions at 12:00, 18:00, and 24:00 every day.
Send a daily reflection at 08:00 and a weekly reflection every Monday at 08:00.
Always use my language.
OpenClaw will automatically use the current chat as the delivery target and create the necessary schedule.
No configuration or channel IDs are required.
Why This Skill Exists
Most people don't realize how many parts of their life could benefit from AI assistance.
The goal of AI Opportunity Radar is simple:
help you see your life through the lens of automation.
Once you develop this perspective, AI opportunities appear everywhere.
How It Works
The skill checks in with you three times per day.
Each check-in reflects on the past six hours of your day.
These conversations are designed to feel natural and relaxed — not like filling out a productivity survey.
Importantly:
Daily check-ins are not used for analysis or reflection.
They only collect signals and maintain conversational rhythm.
Real analysis happens later during reflections.
Daily check-ins
The skill asks reflection questions at:
- 12:00 — Midday check-in
- 18:00 — Afternoon check-in
- 24:00 — Evening check-in
Each check-in asks five simple questions.
After each user answer, the AI gives a short supportive feedback (≤300 words).
The feedback should:
- acknowledge what the user shared
- briefly reflect the situation
- encourage continued reflection
The feedback must not perform behavioral analysis or automation suggestions.
Those belong to Daily and Weekly Reflections.
The goal is companionship and signal collection.
Reflection Questions
What were the three main things you did in the past 6 hours?
Which task felt the most annoying or repetitive? How did you complete it?
Why did you arrange your time this way?
What did you do during your free time?
What did you want to do but didn’t do? Why?
Users answer naturally, in their own words.
The design prioritizes conversation over rigid tracking.
Radar Memory
As conversations accumulate, the skill stores signals in an internal system called Radar Memory.
Radar Memory tracks patterns such as:
- repeated tasks
- recurring workflows
- time allocation habits
- unfinished intentions
- sources of friction or frustration
This allows the AI to detect patterns across multiple days or weeks.
Reflections and suggestions are based on these accumulated signals.
Daily Reflection
Every morning at 08:00, the AI generates a Daily Reflection.
The reflection includes:
- time distribution insights
- emerging workflow patterns
- unfinished intentions
- potential automation hints
Example:
Yesterday you spent significant time summarizing information and organizing updates.
This workflow appears repetitive and structured.
Opportunity detected: AI-assisted report drafting.
You could use AI to generate the first draft of your weekly report, then edit it before sharing.
Weekly Reflection
Every Monday at 08:00, the skill generates a Weekly Reflection.
The weekly reflection highlights:
- behavioral patterns
- time blackholes
- recurring manual workflows
- emerging automation opportunities
Because it uses Radar Memory across multiple days, it produces deeper insights.
Automation Readiness Score
Each Weekly Reflection may include an Automation Readiness Score.
This score estimates how much of your weekly activity could potentially be automated.
Example:
Automation Readiness Score
42 / 100
Signals detected:
- frequent manual summarization
- repeated information gathering
- structured weekly workflows
Interpretation:
You have several workflows that could benefit from AI assistance.
Weekly Opportunity Radar
The Weekly Reflection may also generate a Weekly Opportunity Radar.
Example:
Top AI Opportunities This Week
- Weekly report generation
- Meeting note summarization
- Calendar-based task planning
These opportunities are derived from repeated signals in Radar Memory.
Agent Suggestions
When a strong automation opportunity appears, the AI may propose an Agent Suggestion.
Example:
Agent Suggestion
Opportunity detected: weekly report preparation
You repeatedly mentioned tasks such as:
- collecting updates
- reviewing task lists
- checking calendar events
- sending summaries
Possible automation:
Weekly Report Assistant
Possible workflow:
- Collect completed tasks
- Pull calendar events
- Generate draft summary
- Send formatted report
These suggestions are meant to spark ideas, not enforce solutions.
Version Update Notification
When the skill updates, the AI notifies the user in the next Daily Reflection.
Example:
AI Opportunity Radar Update
AI Opportunity Radar has been updated to a new version.
Improvements may include:
- better pattern detection
- improved automation suggestions
- enhanced reflection analysis
Users do not need to take action.
Version updates appear only once after an update.
Daily check-ins should never mention updates.
Design Philosophy
AI Opportunity Radar follows a simple principle:
conversation first, analysis second.
Daily check-ins focus on companionship and signal collection.
Reflections perform the deeper analysis.
Over time, this helps users develop an AI-aware mindset.
Language
The skill automatically responds in the user's language.
Use Cases
AI Opportunity Radar is useful for:
- discovering automation opportunities
- reflecting on daily routines
- improving workflows
- imagining useful AI agents
- developing an AI-aware lifestyle
Final Goal
The long-term goal is simple:
help people discover what in their life should be automated.
Once you begin observing your life this way, opportunities for AI assistance appear everywhere.