catalyst-pm

AI-powered project management workflows that integrate Linear issue tracking with GitHub pull requests. Every report includes specific recommendations, not just metrics.

Commands

Command	Description
/pm:analyze-cycle	Cycle health report with risk analysis and recommendations
/pm:analyze-milestone	Milestone progress toward target dates
/pm:report-daily	Quick daily standup summary
/pm:groom-backlog	Backlog health analysis and cleanup
/pm:sync-prs	GitHub-Linear PR correlation and gap identification
/pm:context-daily	Context engineering adoption dashboard

Cycle Analysis

Spawns parallel research agents to gather cycle data, then produces a health assessment:

/pm:analyze-cycle

Example output:

Cycle Health: Sprint 2025-W04 - At Risk

Takeaway: 45% complete with 3 days remaining. Projected 63%
completion. Main risks: 2 blocked issues and Dave has no work.

Priority Actions:
  1. Escalate TEAM-461 blocker (external dependency, 6 days)
  2. Pair Bob with senior dev on TEAM-462
  3. Assign 2 backlog issues to Dave

Daily Standup

Quick report designed to be read in under 30 seconds:

/pm:report-daily

Shows yesterday’s deliveries, current work, team availability, and blockers.

Backlog Grooming

Identifies orphaned issues, misplaced assignments, stale items, and potential duplicates:

/pm:groom-backlog

Generates batch update commands for cleanup actions.

GitHub-Linear Sync

Correlates PRs to issues and identifies gaps:

/pm:sync-prs

Finds orphaned PRs, orphaned issues, merge candidates, and stale PRs.

Architecture

• Research-first: Haiku agents collect data fast, Sonnet/Opus agents analyze
• Parallel research: Multiple data sources queried simultaneously
• Actionable output: Every report includes specific next steps

Prerequisites

• Linearis CLI: npm install -g linearis
• jq: brew install jq
• GitHub CLI (optional): brew install gh

Installation

/plugin install catalyst-pm