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positron-pr-helper

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Generates well-structured PR bodies with dynamically fetched e2e test tags

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Source SKILL.md: https://github.com/posit-dev/positron/blob/HEAD/.claude/skills/positron-pr-helper/SKILL.md

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Positron PR Helper

This skill helps you create comprehensive PR bodies for the posit-dev/positron repository with up-to-date e2e test tags fetched directly from the source of truth.

When to Use This Skill

Use this skill when:

  • Creating a new PR and need a well-structured body
  • Updating an existing PR body with the correct format
  • You need the current list of e2e test tags for validation steps
  • You want to ensure your PR body follows Positron conventions
  • You want a test-coverage check (PETE) before opening the PR

Prerequisites

  • GitHub CLI (gh) installed and authenticated
  • Working in the Positron repository
  • Access to the repository's test-tags.ts file

Workflow

I'll guide you through creating a comprehensive PR body:

Step 1: Gather Context

First, I'll ask you:

  1. Issue number (if this PR addresses a specific issue)
  2. PR type (bug fix, feature, UI change, maintenance, etc.)
  3. Summary of what the PR does
  4. Screenshots needed? (for UI changes)
  5. Related PRs (e.g., in ark repository)

If you provide an issue number, I'll use gh issue view to fetch details and understand the context better.

Step 2: Fetch Current Test Tags

I'll dynamically fetch the current e2e test tags from test/e2e/infra/test-runner/test-tags.ts using our extraction script. This ensures we always have the complete, up-to-date list of tags including:

  • Feature tags (functionality-specific)
  • Platform tags (OS/environment control)
  • Performance tags
  • Special tags (critical, soft-fail)

Step 3: Evaluate Test Coverage (PETE)

Before drafting Validation Steps, I'll run the local PETE preview (the pete skill, sharing its rubric with .claude/skills/pr-test-checker/SKILL.md -- the same one CI's PR Test Checker uses) against your working tree. This checks test coverage for the change the same way I already check test tags:

  • Flags substantive source changes with no unit/e2e coverage (verdict: Insufficient)
  • Surfaces existing e2e tests that already cover the change but whose @: tag is missing from the PR body -- these fold into the tag list from Step 2
  • Notes Windows/web deployment gaps worth calling out in Validation Steps

If PETE reports Insufficient, I'll say so and suggest concrete additions (file path, runner, what to test) before we finalize the PR body -- I won't silently paper over a coverage gap with a generic "Validation Steps" section. This is a local preview only; it doesn't replace the official check, which now runs on demand in CI -- comment /pete (or /recheck-tests, /rePETE, /re-pete) on the PR once it's open to get the authoritative verdict.

Step 4: Generate PR Body

Based on the PR type and context, I'll create a structured PR body with:

  1. Opening Line

    • "Fixes #[issue]" if applicable, using a GitHub closing keyword (Fixes, Closes, Resolves) so the issue auto-closes when the PR is merged
    • Brief statement of what the PR does otherwise
  2. Description/Summary

    • Concise explanation of changes
    • Technical context if needed
    • Related PRs referenced
  3. Screenshots (for UI changes only)

    • Placeholder text or actual URLs if provided
  4. Release Notes

    • New Features (if applicable)
    • Bug Fixes (if applicable)
    • User-facing descriptions
  5. Validation Steps

    • Relevant e2e test tags based on affected areas
    • Testing instructions
    • Code examples if helpful
    • A note on PETE's verdict from Step 3 if it was Insufficient

Step 5: Output Options

Once the PR body is ready, you can choose:

  1. Copy to clipboard (Mac only) - I'll use pbcopy
  2. Update existing PR - I'll use gh pr edit
  3. Save to file - I'll write to a file of your choice
  4. Display only - I'll show it for manual copying

Helper Scripts

fetch-test-tags.sh

This script extracts and categorizes all test tags from the TypeScript enum:

# Usage:
./scripts/fetch-test-tags.sh [format]
# format: markdown (default), json, or list

The script:

  • Parses test-tags.ts without needing TypeScript compilation
  • Categorizes tags automatically (feature, platform, performance, special)
  • Outputs in multiple formats for different use cases
  • Runs quickly (<1 second)

PR Body Templates

I use different templates based on PR type:

Bug Fix Template

Fixes #[issue]

[2-3 sentences explaining the fix]

### Release Notes

#### New Features
- N/A

#### Bug Fixes
- [User-facing description] (#[issue])

### Validation Steps

[relevant tags]

[Simple test instructions]

New Feature Template

Fixes #[issue]

### Summary
[1-2 paragraphs explaining the feature]
[Technical implementation notes if relevant]
[Related PRs if applicable]

### Release Notes

#### New Features
- [User-facing description] (#[issue])

#### Bug Fixes
- N/A

### Validation Steps

[relevant tags]

[Detailed test steps with code examples]

Examples

Example 1: Bug Fix PR

Fixes #8930

This PR fixes the Data Explorer scrollbars snapping back to 0 on Safari. The issue was caused by incorrect event handling in the virtual scrolling implementation.

### Release Notes

#### New Features
- N/A

#### Bug Fixes
- Fix Data Explorer scrollbars snapping back to 0 on Safari (#8930)

### Validation Steps

@:data-explorer

Open a large data frame in Data Explorer on Safari and verify scrollbars can be dragged without snapping back.

Example 2: New Feature PR

Fixes #8484

### Summary
Adds support for native DuckDB connections in the Connections Pane. Users can now inspect DuckDB databases directly without needing external tools. This implementation uses the native DuckDB Python API for better performance.

Related PR: posit-dev/ark#456 (adds DuckDB kernel support)

### Release Notes

#### New Features
- Added support for inspecting native DuckDB connections in the Connections Pane (#8484)

#### Bug Fixes
- N/A

### Validation Steps

@:connections @:duck-db

1. Install DuckDB: `pip install duckdb`
2. Create a new DuckDB connection using the modal
3. Run the following to create test data:

```python
conn.execute("""
    CREATE TABLE employees (
        id INTEGER,
        name VARCHAR,
        salary INTEGER
    )
""")
conn.execute("INSERT INTO employees VALUES (1, 'Alice', 75000)")
  1. Verify tables appear in the Connections pane

## Tips

- Be concise but complete - no flowery language
- Use present tense ("fixes", "adds", "enables")
- Include issue references in parentheses in release notes
- Always include at least one e2e test tag in validation steps
- For complex changes, numbered test steps are better
- Keep release notes user-facing (avoid implementation details)