Linear

Linear Integration #

Connect your Linear workspace to enable AI agents to track issues, monitor project progress, and automate project management workflows. Perfect for team updates, sprint planning, and keeping stakeholders informed.

Setup #

  1. Navigate to Settings → Integrations in your Overclock dashboard
  2. Click Connect next to Linear
  3. Authorize Overclock to access your Linear workspace
  4. Your Linear integration is now ready to use

What You Can Do #

Your AI agents can now:

  • Track issue progress across teams and projects
  • Monitor sprint activities and velocity metrics
  • Generate project updates for stakeholders
  • Analyze team performance and workload distribution
  • Create automated reports for planning and retrospectives

Example Playbook: Sprint Summary Report #

Here’s how you might automate sprint retrospectives and planning:

# Sprint Summary & Planning Report
Analyze the completed sprint and prepare insights for the upcoming sprint planning.

## Steps

- Gather sprint data from Linear:
   - All issues completed in the current sprint
   - Issues moved between sprints or status changes
   - New issues created during the sprint
   - Team velocity and completion rates

- Analyze completed work to identify:
   - **Major Accomplishments:** Significant features or fixes delivered
   - **Team Performance:** Who contributed what and completion rates
   - **Scope Changes:** Issues added or removed during sprint
   - **Blockers Resolved:** What obstacles were overcome

- Review upcoming sprint planning:
   - **Backlog Priorities:** Top issues ready for next sprint
   - **Capacity Planning:** Team availability and workload balance
   - **Dependencies:** Issues blocked or waiting on other work
   - **Risk Assessment:** Potential challenges or timeline concerns

- Create comprehensive report including:
   - **Sprint Highlights:** Key wins and deliverables completed
   - **Metrics:** Velocity, completion rate, and team statistics
   - **Lessons Learned:** What went well and areas for improvement
   - **Next Sprint Preview:** Priorities and capacity for upcoming work

- Share with engineering team in #sprint-updates Slack channel

- Send executive summary to stakeholders via Slack DM

- Create follow-up tasks for any identified process improvements

## Trigger

- Run every Friday at 5pm (end of sprint)

More Use Cases #

Bug Triage: Automatically categorize and prioritize new bug reports based on severity and impact

Release Planning: Track progress toward release milestones and identify potential delays

Team Workload: Monitor individual and team capacity to prevent burnout and optimize assignments

Customer Impact: Correlate customer requests with development work and track resolution timelines

Process Improvement: Analyze patterns in issue lifecycle and identify bottlenecks in workflow

Getting Started #

Ready to automate your project management? Try creating a playbook that:

  1. Monitors specific issues, teams, or projects that matter most to you
  2. Extracts key progress indicators and blockers
  3. Formats updates in a way that keeps your team and stakeholders informed

The AI will handle tracking Linear data and identifying patterns while you focus on making decisions and keeping projects moving forward.