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Create a single, focused tutorial that gets a new user from zero to their first working agentic workflow in 5 minutes with a guaranteed success.
Context
The scout report emphasizes a "single success path" with copy-paste ready examples. This is the crucial first tutorial that builds confidence. Part of issue #1433.
Prerequisites (1 sentence): GitHub repository with Actions enabled
Learning Goal (1 sentence): Create a workflow that greets new issues
Steps (3-4 steps max):
Create .github/workflows/issue-greeter.md
Paste minimal workflow code
Create a test issue
See the AI response
Working Example: Complete, copy-paste ready code
What You Learned (2-3 bullets)
Next Steps: Link to next tutorial
Example Code Structure
---
on:
issues:
types: [opened]
permissions:
contents: read
engine: copilot
safe-outputs:
add-comment:
---
# Issue Greeter
Welcome new contributors to the repository with a friendly message.
Found several minimal, beginner-friendly workflow alternatives to the "issue greeter" pattern. The most promising options focus on repository analysis, auto-labeling, and PR summaries - all providing immediate visible value with copy-paste simplicity.
Click to expand detailed findings
Research Findings
Alternative Minimal Workflow Ideas
Based on analysis of successful beginner tutorials and automation patterns, here are viable alternatives to the issue greeter:
1. PR Summary Generator (Recommended)
Trigger: When a pull request is opened
Action: AI reads the PR diff and generates a brief summary comment
Why it works:
Immediate visible output (comment appears on PR)
Uses both read (PR content) and write (comment) capabilities
Practical value - helps reviewers understand changes quickly
Natural learning progression to more complex PR workflows
Example use case: "Summarize the changes in this pull request in 2-3 sentences"
2. Code Change Analyzer
Trigger: Push to main branch
Action: AI analyzes recent commits and creates a summary issue
Creates visible artifact (issue) as proof of success
Example use case: "Analyze the last 3 commits and create an issue summarizing what changed"
3. Label Suggester
Trigger: Issue opened without labels
Action: AI reads issue content and suggests appropriate labels in a comment
Why it works:
Simple, focused task with clear success criteria
Teaches conditional logic (if no labels exist)
Practical for repository maintenance
Non-invasive (suggests but doesn't auto-apply)
Example use case: "Read this issue and suggest 2-3 appropriate labels"
4. Weekly Repository Report
Trigger: Scheduled (weekly)
Action: AI generates a summary issue of repository activity
Why it works:
Introduces cron/schedule triggers
Demonstrates data aggregation
Creates tangible output (issue)
Can be tested immediately with workflow_dispatch
Example use case: "Every Monday, create an issue summarizing last week's activity"
Comparison to "Issue Greeter"
Current approach (issue greeter):
✅ Very simple
✅ Clear success indicator
❌ Limited practical value
❌ Feels like "hello world" toy example
❌ Doesn't showcase AI capabilities well
Recommended alternative (PR Summary):
✅ Still very simple (4-5 lines of frontmatter)
✅ Clear success indicator (comment appears)
✅ High practical value (helps code review)
✅ Demonstrates AI understanding of code
✅ Natural pathway to advanced PR workflows
Recommendations
Primary Recommendation: PR Summary Generator
Create the tutorial around this workflow:
---
on:
pull_request:
types: [opened]
permissions:
contents: read
engine: copilot
safe-outputs:
add-comment:
---
# PR Summary Generator
Read the changes in this pull request and write a brief 2-3 sentence summary as a comment. Focus on what was changed and why it might matter.
Why this is the best choice:
Practical value: Actually useful in real repositories
Simple setup: Works exactly as shown, no modifications needed
Clear success: Comment appears on PR within minutes
Teaches key concepts: Triggers, permissions, safe-outputs, AI prompts
Natural progression: Next tutorial can build on PR workflows (review comments, code suggestions, etc.)
Alternative Recommendation: Code Change Analyzer
If PR-based workflow is too similar to issue workflows, use the push-triggered analyzer:
---
on: push
permissions:
contents: read
actions: read
engine: copilot
safe-outputs:
create-issue:
title-prefix: "[analysis] "
---
# Code Change Analyzer
Analyze the changes in this push. Create an issue with:
- What files were modified
- A brief summary of the changes
- Any potential concerns or improvements
Advantages:
Different trigger type (push vs issues)
Demonstrates safe-outputs.create-issue pattern
Can be tested with a simple commit
More "proactive" feel vs "reactive" issue greeting
Key Sources
GitHub Actions Tutorial Examples: Everhour Blog - Common beginner patterns
Activity
pelikhan commentedon Oct 10, 2025
/scout find another minimal relevant example. Not first contribution.
Agentic Scout triggered by this comment
github-actions commentedon Oct 10, 2025
🔍 Scout Research Report
Triggered by
@pelikhanExecutive Summary
Found several minimal, beginner-friendly workflow alternatives to the "issue greeter" pattern. The most promising options focus on repository analysis, auto-labeling, and PR summaries - all providing immediate visible value with copy-paste simplicity.
Click to expand detailed findings
Research Findings
Alternative Minimal Workflow Ideas
Based on analysis of successful beginner tutorials and automation patterns, here are viable alternatives to the issue greeter:
1. PR Summary Generator (Recommended)
Example use case: "Summarize the changes in this pull request in 2-3 sentences"
2. Code Change Analyzer
on: pushtrigger (very common)Example use case: "Analyze the last 3 commits and create an issue summarizing what changed"
3. Label Suggester
Example use case: "Read this issue and suggest 2-3 appropriate labels"
4. Weekly Repository Report
workflow_dispatchExample use case: "Every Monday, create an issue summarizing last week's activity"
Comparison to "Issue Greeter"
Current approach (issue greeter):
Recommended alternative (PR Summary):
Recommendations
Primary Recommendation: PR Summary Generator
Create the tutorial around this workflow:
--- on: pull_request: types: [opened] permissions: contents: read engine: copilot safe-outputs: add-comment: --- # PR Summary Generator Read the changes in this pull request and write a brief 2-3 sentence summary as a comment. Focus on what was changed and why it might matter.Why this is the best choice:
Alternative Recommendation: Code Change Analyzer
If PR-based workflow is too similar to issue workflows, use the push-triggered analyzer:
--- on: push permissions: contents: read actions: read engine: copilot safe-outputs: create-issue: title-prefix: "[analysis] " --- # Code Change Analyzer Analyze the changes in this push. Create an issue with: - What files were modified - A brief summary of the changes - Any potential concerns or improvementsAdvantages:
Key Sources
Suggested Next Steps
Bottom line: Replace the issue greeter with PR Summary Generator for a minimal example that's both beginner-friendly AND practically useful.