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Workflows are defined in Markdown files with YAML frontmatter. The frontmatter contains metadata and scheduling information, while the content below serves as the prompt for your agent.
YAML frontmatter (required): Metadata and configuration
Markdown content (required): The prompt/instructions for the agent
---name: email-cleanupdescription: Clean up newsletters and promotional emailsschedule: "0 * * * *"autoApprove: low-riskagent: my-agentskills: - email---# Email CleanupReview my inbox from the last hour and archive low-value emails.[Your detailed instructions here...]
Clearly define the task, expected inputs, and desired outputs.
Review my inbox from the last hour and archive:- Newsletters older than 2 weeks- Promotional emails older than 3 days- GitHub notifications I've already seen
2
Include safety guidelines
Tell the agent how to handle uncertainty.
**When in doubt, don't do anything.**- Only perform actions you're 100% confident about- Leave uncertain items for manual review
3
Specify output format and location
If the workflow generates files, specify where to save them.
Save the digest to: `$HOME/tech-digests/[YEAR]/[Month]/[DD].md`
4
Reference skills when applicable
Mention specific skills if they should guide the workflow.
Use the `deep-research` skill to investigate recent AI developments.
---name: email-cleanupdescription: Clean up newsletters and promotional emails from your inboxschedule: "0 * * * *"autoApprove: low-riskskills: - email---# Email Cleanup WorkflowReview my inbox from the last hour and help me clean up low-value emails.## What to Clean1. **Newsletters I haven't read**: If there's a newsletter email that has been sitting unread for more than 2 weeks, archive it.2. **Promotional emails**: Archive any promotional/marketing emails that are older than 3 days.3. **Automated notifications**: Archive GitHub notification emails, CI/CD notifications, and similar automated emails that I've already seen.4. **Duplicate emails**: If there are multiple emails from the same sender about the same topic, keep only the most recent one.## What NOT to Touch- Personal emails from real people- Work-related emails with action items- Receipts or invoices- Emails marked as important- **ANY email you're uncertain about** - when in doubt, leave it alone## Safety RulesWhen in doubt, DO NOTHING.- Only archive emails when you are **highly confident** they match the criteria above- If an email could be important, personal, or work-related, skip it- Better to leave 10 safe-to-archive emails untouched than to archive 1 important email
---name: weather-briefingdescription: Morning weather check and outfit recommendationsschedule: "0 7 * * *"autoApprove: read-only---# Morning Weather BriefingCheck the weather forecast for today and provide practical recommendations.## Tasks1. **Get the weather forecast**: Look up the weather for my location for today. Include: - Current temperature - High/low for the day - Precipitation chance - Wind conditions - Any weather alerts2. **Outfit recommendation**: Based on the weather, suggest what to wear: - Do I need a jacket/coat? - Should I bring an umbrella? - Is it shorts weather or pants weather? - Any accessories (sunglasses, scarf, hat)?3. **Activity considerations**: Note any weather-related considerations: - Is it a good day for outdoor activities? - Should I plan indoor alternatives? - Any commute impacts (heavy rain, snow, etc.)?## Output FormatKeep it brief and actionable - this is a quick morning glance, not a detailed report.Example:
š”ļø Today: 18Ā°C ā 26Ā°C, Sunnyš Wear: Light layers, sunglasses
ā No umbrella needed
š¶ Great day for outdoor activities!
---name: tech-digestdescription: Daily comprehensive AI & tech trends digest with deep researchschedule: "0 8 * * *"autoApprove: truecatchUpOnStartup: trueskills: - deep-research---# Daily Tech & AI DigestGenerate a comprehensive daily digest of the most important developments in AI, technology, startups, and tech investments from the last 24 hours.## Research ScopeInvestigate these areas thoroughly:### 1. AI & Machine Learning- New model releases and benchmarks- Research breakthroughs (check Hugging Face Papers, arXiv)- Tool and framework updates- AI safety and policy developments### 2. Tech Industry News- Major product launches and updates- Company announcements and pivots- Tech layoffs or hiring trends- Regulatory news (EU, US, China)### 3. Startups & Investments- Funding rounds (Series A, B, C, etc.)- Notable acquisitions- New startup launches- VC trends and insights### 4. Developer & Open Source- Trending GitHub repositories- New developer tools- Framework updates (React, Next.js, Rust, etc.)- API launches## Sources to Check- **Twitter/X**: Tech influencers, AI researchers, VCs- **Reddit**: r/MachineLearning, r/artificial, r/technology, r/startups- **Hugging Face**: Daily Papers, trending models- **Hacker News**: Top stories from the last 24 hours- **TechCrunch**: Funding news, startup coverage- **GitHub Trending**: Hot repositories## Output RequirementsUse the `deep-research` skill to conduct thorough multi-source research.Save the digest to: `$HOME/tech-digests/[YEAR]/[Month]/[DD].md`Focus on **signal over noise** - only include truly noteworthy items.