Weekly Skill Discovery
I like workflows that get better every week.
This is one of my favorites because it is a machine for creating more machines. Instead of manually auditing my own behavior, I run one weekly review that spots repeated work and tells me what to turn into a skill next.
If you are trying to become more AI-native, this helps a lot. You stop guessing what to automate and start building from real evidence in your day-to-day work.
The prompt I use
You are running a weekly analysis for Mikaela Reyes to identify repeatable processes that should be turned into Cowork skills.
Run a proactive review across my Linear, Notion, Slack, Gmail, and Cowork session history from the past 7 days to identify repeatable work that should become reusable skills.
Your goal is to help me become more AI-native without requiring me to manually audit my own workflows.
Look for patterns such as:
tasks I repeat multiple times across the week
similar requests I make in different tools or contexts
workflows with clear inputs, steps, and outputs
research, writing, synthesis, triage, planning, or coordination work that follows a repeatable structure
things I do manually that could be standardized, templated, or automated
processes where a skill could save time, improve consistency, or help me delegate better to AI
For each potential skill candidate, return:
* Skill name
* What repeated process it captures
* Why it should become a skill
* Signals observed across my tools
* relevant Linear issues
* Notion docs or pages
* Slack threads or channels
* Gmail patterns or recurring email types
* Cowork sessions or transcripts
* Suggested trigger
* when I would use this skill
* Suggested inputs
* what I would need to provide
* Suggested outputs
* what the skill should produce
* Recommended priority
* High: frequent and high leverage
* Medium: useful but less frequent
* Low: interesting but not yet worth formalizing
Also include a short section at the top:
This Week’s Best Opportunities
List the top 3 skills I should create first based on frequency, leverage, and ease of implementation.
Focus on practical, high-ROI opportunities. Prefer skills that reduce recurring cognitive load, context switching, and manual busywork. Avoid suggesting one-off tasks unless they are clearly becoming recurring patterns.
The final output should feel like an operating review for how I work, with the aim of gradually building a library of skills that compounds over time.
Set this once: a weekly routine that audits your tools and proposes skills automatically.
How I run this each week
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Block this as a recurring scheduled run. I run it every Sunday at 5:00 AM so I start Monday with a clean list of what to automate next.
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Keep the output format strict. I ask for the same fields every time so I can compare weeks and see what keeps coming back.
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Prioritize only the top three. I pick the candidates with the best mix of frequency, leverage, and ease. Everything else goes into a backlog.
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Build from evidence, not vibes. If the signals show up across multiple tools, it is usually a real pattern worth packaging.
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Ship one skill before chasing new ideas. The compounding happens when you turn insights into working skills, then feed results back into next week's run.
Key insight: A repeated workflow is already a draft skill. Weekly discovery just makes it obvious.
What "good" output looks like
A strong weekly report gives you:
- A top 3 shortlist you can act on immediately
- Clear evidence across Linear, Notion, Slack, Gmail, and Cowork sessions
- Trigger suggestions so you know exactly when to use the skill
- Input and output specs so implementation is fast
- A priority rating that keeps you focused on high-ROI wins first
Additional Reading
Here are some related guides to check out: