jeremylongshore

linear-migration-deep-dive

@jeremylongshore/linear-migration-deep-dive
jeremylongshore
1,004
123 forks
Updated 1/18/2026
View on GitHub

Migrate from Jira, Asana, GitHub Issues, or other tools to Linear. Use when planning a migration to Linear, executing data transfer, or mapping workflows between tools. Trigger with phrases like "migrate to linear", "jira to linear", "asana to linear", "import to linear", "linear migration".

Installation

$skills install @jeremylongshore/linear-migration-deep-dive
Claude Code
Cursor
Copilot
Codex
Antigravity

Details

Pathplugins/saas-packs/linear-pack/skills/linear-migration-deep-dive/SKILL.md
Branchmain
Scoped Name@jeremylongshore/linear-migration-deep-dive

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

skills list

Skill Instructions


name: linear-migration-deep-dive description: | Migrate from Jira, Asana, GitHub Issues, or other tools to Linear. Use when planning a migration to Linear, executing data transfer, or mapping workflows between tools. Trigger with phrases like "migrate to linear", "jira to linear", "asana to linear", "import to linear", "linear migration". allowed-tools: Read, Write, Edit, Bash(node:), Bash(npx:), Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Linear Migration Deep Dive

Overview

Comprehensive guide for migrating from other issue trackers to Linear.

Prerequisites

  • Admin access to source system
  • Linear workspace with admin access
  • API access to both systems
  • Migration timeline and rollback plan

Migration Planning

Phase 1: Assessment

## Migration Assessment Checklist

### Data Volume
- [ ] Count total issues: ____
- [ ] Count total projects: ____
- [ ] Count total users: ____
- [ ] Attachments size: ____ GB
- [ ] Custom fields count: ____

### Workflow Analysis
- [ ] Document current statuses/states
- [ ] Map status transitions
- [ ] Identify automation rules
- [ ] List integrations in use

### User Mapping
- [ ] Export user list from source
- [ ] Map to Linear users
- [ ] Plan for unmapped users

### Timeline
- [ ] Migration window: ____
- [ ] Parallel run period: ____
- [ ] Cutover date: ____
- [ ] Rollback deadline: ____

Phase 2: Workflow Mapping

// migration/workflow-mapping.ts

// Jira to Linear status mapping
const JIRA_STATUS_MAP: Record<string, string> = {
  "To Do": "Todo",
  "In Progress": "In Progress",
  "In Review": "In Review",
  "Done": "Done",
  "Closed": "Done",
  "Backlog": "Backlog",
  "Blocked": "In Progress", // Linear uses labels for blocked
};

// Jira to Linear priority mapping
const JIRA_PRIORITY_MAP: Record<string, number> = {
  "Highest": 1, // Urgent
  "High": 2,
  "Medium": 3,
  "Low": 4,
  "Lowest": 4,
};

// Jira to Linear issue type mapping
const JIRA_TYPE_MAP: Record<string, { labelName: string }> = {
  "Bug": { labelName: "Bug" },
  "Story": { labelName: "Feature" },
  "Task": { labelName: "Task" },
  "Epic": { labelName: "Epic" },
  "Subtask": { labelName: "Subtask" },
};

// Asana to Linear mapping
const ASANA_SECTION_MAP: Record<string, string> = {
  "To Do": "Todo",
  "Doing": "In Progress",
  "Review": "In Review",
  "Complete": "Done",
};

Instructions

Step 1: Export from Source System

Jira Export:

// migration/jira-export.ts
import JiraClient from "jira-client";

const jira = new JiraClient({
  host: process.env.JIRA_HOST,
  basic_auth: {
    email: process.env.JIRA_EMAIL,
    api_token: process.env.JIRA_API_TOKEN,
  },
});

interface JiraIssue {
  key: string;
  fields: {
    summary: string;
    description: string;
    status: { name: string };
    priority: { name: string };
    issuetype: { name: string };
    assignee: { emailAddress: string } | null;
    reporter: { emailAddress: string };
    created: string;
    updated: string;
    parent?: { key: string };
    subtasks: { key: string }[];
    labels: string[];
    customfield_10001?: number; // Story points
  };
}

export async function exportJiraProject(projectKey: string): Promise<JiraIssue[]> {
  const issues: JiraIssue[] = [];
  let startAt = 0;
  const maxResults = 100;

  while (true) {
    const result = await jira.searchJira(
      `project = ${projectKey} ORDER BY created ASC`,
      {
        startAt,
        maxResults,
        fields: [
          "summary",
          "description",
          "status",
          "priority",
          "issuetype",
          "assignee",
          "reporter",
          "created",
          "updated",
          "parent",
          "subtasks",
          "labels",
          "customfield_10001", // Story points
        ],
      }
    );

    issues.push(...result.issues);

    if (issues.length >= result.total) break;
    startAt += maxResults;

    console.log(`Exported ${issues.length}/${result.total} issues...`);
  }

  // Save to file for backup
  await fs.writeFile(
    `jira-export-${projectKey}-${Date.now()}.json`,
    JSON.stringify(issues, null, 2)
  );

  return issues;
}

Asana Export:

// migration/asana-export.ts
import Asana from "asana";

const asana = Asana.Client.create().useAccessToken(process.env.ASANA_TOKEN);

export async function exportAsanaProject(projectGid: string) {
  const tasks = [];

  const result = await asana.tasks.getTasks({
    project: projectGid,
    opt_fields: [
      "name",
      "notes",
      "assignee",
      "due_on",
      "completed",
      "memberships.section.name",
      "tags.name",
      "parent.gid",
      "subtasks.gid",
      "created_at",
      "modified_at",
    ],
  });

  for await (const task of result) {
    tasks.push(task);
  }

  return tasks;
}

Step 2: Transform Data

// migration/transform.ts
import { LinearClient } from "@linear/sdk";

interface LinearIssueInput {
  teamId: string;
  title: string;
  description?: string;
  priority?: number;
  stateId?: string;
  assigneeId?: string;
  labelIds?: string[];
  estimate?: number;
  parentId?: string;
}

interface TransformContext {
  linearClient: LinearClient;
  teamId: string;
  stateMap: Map<string, string>;
  userMap: Map<string, string>;
  labelMap: Map<string, string>;
  issueIdMap: Map<string, string>; // sourceId -> linearId
}

export async function transformJiraIssue(
  jiraIssue: JiraIssue,
  context: TransformContext
): Promise<LinearIssueInput> {
  // Map status to Linear state
  const linearStatus = JIRA_STATUS_MAP[jiraIssue.fields.status.name] || "Todo";
  const stateId = context.stateMap.get(linearStatus);

  // Map priority
  const priority = JIRA_PRIORITY_MAP[jiraIssue.fields.priority?.name] || 0;

  // Map assignee
  const assigneeEmail = jiraIssue.fields.assignee?.emailAddress;
  const assigneeId = assigneeEmail ? context.userMap.get(assigneeEmail) : undefined;

  // Map labels
  const labelIds: string[] = [];

  // Add issue type as label
  const typeLabel = JIRA_TYPE_MAP[jiraIssue.fields.issuetype.name];
  if (typeLabel && context.labelMap.has(typeLabel.labelName)) {
    labelIds.push(context.labelMap.get(typeLabel.labelName)!);
  }

  // Add Jira labels
  for (const label of jiraIssue.fields.labels) {
    const linearLabelId = context.labelMap.get(label);
    if (linearLabelId) {
      labelIds.push(linearLabelId);
    }
  }

  // Convert description
  const description = convertJiraToMarkdown(jiraIssue.fields.description);

  return {
    teamId: context.teamId,
    title: `[${jiraIssue.key}] ${jiraIssue.fields.summary}`,
    description,
    priority,
    stateId,
    assigneeId,
    labelIds,
    estimate: jiraIssue.fields.customfield_10001, // Story points
  };
}

function convertJiraToMarkdown(jiraMarkup: string | null): string {
  if (!jiraMarkup) return "";

  let md = jiraMarkup;

  // Headers
  md = md.replace(/h1\. /g, "# ");
  md = md.replace(/h2\. /g, "## ");
  md = md.replace(/h3\. /g, "### ");

  // Bold and italic
  md = md.replace(/\*([^*]+)\*/g, "**$1**");
  md = md.replace(/_([^_]+)_/g, "*$1*");

  // Code blocks
  md = md.replace(/\{code(:([^}]+))?\}([\s\S]*?)\{code\}/g, "```$2\n$3\n```");
  md = md.replace(/\{noformat\}([\s\S]*?)\{noformat\}/g, "```\n$1\n```");

  // Lists
  md = md.replace(/^# /gm, "1. ");
  md = md.replace(/^\* /gm, "- ");

  // Links
  md = md.replace(/\[([^\]|]+)\|([^\]]+)\]/g, "[$1]($2)");
  md = md.replace(/\[([^\]]+)\]/g, "[$1]($1)");

  return md;
}

Step 3: Import to Linear

// migration/import.ts
import { LinearClient } from "@linear/sdk";

interface ImportStats {
  total: number;
  created: number;
  skipped: number;
  errors: { sourceId: string; error: string }[];
}

export async function importToLinear(
  issues: JiraIssue[],
  context: TransformContext
): Promise<ImportStats> {
  const stats: ImportStats = {
    total: issues.length,
    created: 0,
    skipped: 0,
    errors: [],
  };

  // Sort issues: parents first, then children
  const sorted = sortByHierarchy(issues);

  for (const jiraIssue of sorted) {
    try {
      // Check if already imported
      if (context.issueIdMap.has(jiraIssue.key)) {
        stats.skipped++;
        continue;
      }

      const input = await transformJiraIssue(jiraIssue, context);

      // Set parent if exists
      if (jiraIssue.fields.parent) {
        input.parentId = context.issueIdMap.get(jiraIssue.fields.parent.key);
      }

      // Create in Linear
      const result = await context.linearClient.createIssue(input);

      if (result.success) {
        const issue = await result.issue;
        context.issueIdMap.set(jiraIssue.key, issue!.id);
        stats.created++;

        // Rate limit
        await sleep(100);
      } else {
        throw new Error("Create failed");
      }

      console.log(`Imported ${stats.created}/${stats.total}: ${jiraIssue.key}`);
    } catch (error) {
      stats.errors.push({
        sourceId: jiraIssue.key,
        error: error instanceof Error ? error.message : "Unknown error",
      });
      console.error(`Failed to import ${jiraIssue.key}:`, error);
    }
  }

  return stats;
}

function sortByHierarchy(issues: JiraIssue[]): JiraIssue[] {
  const byKey = new Map(issues.map(i => [i.key, i]));
  const sorted: JiraIssue[] = [];
  const processed = new Set<string>();

  function addWithDependencies(issue: JiraIssue): void {
    if (processed.has(issue.key)) return;

    // Add parent first
    if (issue.fields.parent) {
      const parent = byKey.get(issue.fields.parent.key);
      if (parent) addWithDependencies(parent);
    }

    sorted.push(issue);
    processed.add(issue.key);
  }

  for (const issue of issues) {
    addWithDependencies(issue);
  }

  return sorted;
}

Step 4: Validation & Verification

// migration/validate.ts

export async function validateMigration(
  sourceIssues: JiraIssue[],
  context: TransformContext
): Promise<{ valid: boolean; issues: string[] }> {
  const issues: string[] = [];

  // Check all issues were migrated
  for (const source of sourceIssues) {
    if (!context.issueIdMap.has(source.key)) {
      issues.push(`Missing: ${source.key}`);
    }
  }

  // Verify sample of migrated issues
  const sampleSize = Math.min(50, sourceIssues.length);
  const sample = sourceIssues.slice(0, sampleSize);

  for (const source of sample) {
    const linearId = context.issueIdMap.get(source.key);
    if (!linearId) continue;

    try {
      const linearIssue = await context.linearClient.issue(linearId);

      // Check title contains original key
      if (!linearIssue.title.includes(source.key)) {
        issues.push(`Title mismatch: ${source.key}`);
      }

      // Check priority mapping
      const expectedPriority = JIRA_PRIORITY_MAP[source.fields.priority?.name] || 0;
      if (linearIssue.priority !== expectedPriority) {
        issues.push(`Priority mismatch: ${source.key} (${linearIssue.priority} != ${expectedPriority})`);
      }
    } catch (error) {
      issues.push(`Verify failed: ${source.key} - ${error}`);
    }
  }

  return {
    valid: issues.length === 0,
    issues,
  };
}

Step 5: Post-Migration

// migration/post-migration.ts

export async function createMigrationReport(
  stats: ImportStats,
  context: TransformContext
): Promise<string> {
  const report = `
# Migration Report

**Date:** ${new Date().toISOString()}
**Source:** Jira
**Target:** Linear

## Statistics
- Total issues: ${stats.total}
- Successfully imported: ${stats.created}
- Skipped (duplicates): ${stats.skipped}
- Errors: ${stats.errors.length}

## ID Mapping
${Array.from(context.issueIdMap.entries())
  .map(([source, linear]) => `- ${source} -> ${linear}`)
  .join("\n")}

## Errors
${stats.errors.map(e => `- ${e.sourceId}: ${e.error}`).join("\n") || "None"}

## Next Steps
1. Verify critical issues manually
2. Update integrations to use Linear
3. Archive source project after parallel run
4. Train team on Linear workflows
`;

  await fs.writeFile("migration-report.md", report);
  return report;
}

Migration Checklist

## Pre-Migration
[ ] Backup source system data
[ ] Create Linear workspace and teams
[ ] Set up workflow states and labels
[ ] Map users between systems
[ ] Create API credentials

## Migration
[ ] Export data from source
[ ] Transform to Linear format
[ ] Import in batches
[ ] Validate sample issues
[ ] Import attachments (if needed)

## Post-Migration
[ ] Run full validation
[ ] Set up redirects (if applicable)
[ ] Update integrations
[ ] Train team
[ ] Run parallel for 1-2 weeks
[ ] Archive source after cutover

Error Handling

ErrorCauseSolution
User not foundUnmapped userAdd to user mapping
Rate limitedToo fast importAdd delays between requests
State not foundUnmapped statusUpdate state mapping
Parent not foundImport order wrongSort by hierarchy

Resources

Conclusion

You have completed the Linear Flagship Skill Pack. You now have comprehensive knowledge of Linear integrations from basic setup through enterprise deployment.

More by jeremylongshore

View all
rabbitmq-queue-setup
1,004

Rabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.

model-evaluation-suite
1,004

evaluating-machine-learning-models: This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".

neural-network-builder
1,004

building-neural-networks: This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").

oauth-callback-handler
1,004

Oauth Callback Handler - Auto-activating skill for API Integration. Triggers on: oauth callback handler, oauth callback handler Part of the API Integration skill category.