Issue To Linear Task
Convert individual GitHub issues to Linear tasks with comprehensive data preservation
npx claude-code-templates@latest --command sync/issue-to-linear-task Scanned by NVIDIA SkillSpector
Automated static analysis (no LLM) · v2.12.0 · 2026-10-23
SkillSpector looks for patterns such as shell commands, credential access, network calls or unpinned dependencies. An observation is something worth reading in the files before you install, not a confirmed vulnerability. Components that run code locally, like hooks, MCP servers and security tooling, naturally show more of them.
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Content
Issue to Linear Task
Convert GitHub issues to Linear tasks with comprehensive field mapping: $ARGUMENTS
Current Conversion Context
- Repository: !
gh repo view --json nameWithOwner -q .nameWithOwner 2>/dev/null || echo "No repo context" - Issue details: Based on $ARGUMENTS issue number or selection criteria
- Linear teams: Available Linear teams and project assignments
- User mappings: @user-mappings.json or GitHub-Linear user correspondence
Task
Execute precise conversion of individual GitHub issues to Linear tasks:
Issue Target: Use $ARGUMENTS to specify issue number, conversion options, team assignment, or processing preferences
Conversion Framework:
- Issue Analysis - Fetch complete issue data, extract metadata, analyze content structure, infer priorities
- Data Transformation - Map fields accurately, convert formats, preserve relationships, enhance descriptions
- Linear Integration - Create task with proper formatting, assign team/project, set priorities, manage labels
- Content Migration - Import comments with attribution, handle attachments, preserve formatting, maintain threading
- Reference Management - Create bidirectional links, update sync database, maintain cross-references, enable navigation
- Validation & Confirmation - Verify conversion accuracy, confirm field mappings, validate relationships, provide preview
Advanced Features: Smart priority inference, intelligent user mapping, attachment handling, comment threading, comprehensive validation.
Data Fidelity: Preserve original formatting, maintain all metadata, keep comment attribution, ensure relationship integrity.
Output: Successfully converted Linear task with complete data preservation, accurate field mappings, bidirectional references, and comprehensive conversion summary.