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Task From Pr

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Create Linear tasks from GitHub pull requests with intelligent content extraction and task sizing

Install Command
npx claude-code-templates@latest --command sync/task-from-pr
View on GitHub
claude-code — task-from-pr

Scanned by NVIDIA SkillSpector

Automated static analysis (no LLM) · v2.12.0 · 2026-10-23

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Content

Task from PR

Create Linear tasks from GitHub pull requests with intelligent analysis: $ARGUMENTS

Current PR Environment

  • Repository: !gh repo view --json nameWithOwner -q .nameWithOwner 2>/dev/null || echo "No repo context"
  • PR status: Based on $ARGUMENTS PR number or batch processing criteria
  • Linear teams: Available teams for task assignment
  • User mappings: GitHub username to Linear user correspondence

Task

Generate Linear tasks from GitHub pull requests with comprehensive content analysis:

PR Source: Use $ARGUMENTS to specify PR number, team assignment, size estimation, or batch processing mode

Task Generation Framework:

  1. PR Analysis - Extract comprehensive PR data, parse description structure, identify key components, analyze changes
  2. Content Extraction - Parse structured sections, extract checklists, identify technical details, capture requirements
  3. Intelligent Sizing - Estimate task complexity from code changes, file count, review comments, testing requirements
  4. Task Construction - Build Linear task with proper formatting, preserve PR context, maintain references, structure content
  5. Team Assignment - Map to appropriate Linear team, assign based on code areas, set priorities from labels
  6. Validation & Creation - Check for duplicates, validate task structure, create in Linear, establish bidirectional links

Advanced Features: Smart content parsing, automated size estimation, intelligent team mapping, comprehensive validation, batch processing.

Quality Assurance: Duplicate detection, content validation, proper formatting, relationship maintenance, comprehensive error handling.

Output: Successfully created Linear tasks with comprehensive PR context, accurate sizing estimates, proper team assignments, and complete bidirectional linking.

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