Use CCPM when an agent team needs one issue-backed workflow that turns plans into GitHub issues, isolates execution in worktrees, and keeps parallel coding runs reviewable instead of relying on ad hoc chat memory.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "Coordinate issue-backed parallel coding worktrees with CCPM"
slug: "coordinate-issue-backed-parallel-coding-worktrees-with-ccpm"
description: "Use CCPM when an agent team needs one issue-backed workflow that turns plans into GitHub issues, isolates execution in worktrees, and keeps parallel coding runs reviewable instead of relying on ad hoc chat memory."
github_stars: 7995
verification: "security_reviewed"
source: "https://github.com/automazeio/ccpm"
author: "automazeio"
publisher_type: "company"
category: "Templates & Workflows"
framework: "Multi-Framework"
tool_ecosystem:
github_repo: "automazeio/ccpm"
github_stars: 7995
---
# Coordinate issue-backed parallel coding worktrees with CCPM
Use CCPM when an agent team needs one issue-backed workflow that turns plans into GitHub issues, isolates execution in worktrees, and keeps parallel coding runs reviewable instead of relying on ad hoc chat memory.
## Prerequisites
GitHub Issues, git worktrees, a repo using an agent-skills-compatible coding harness, and an operator willing to manage work through issue-backed phases instead of ad hoc chat.
## Installation
Basic usage or getting-started notes:
- [Usage](#usage)
- [Example Flow](#example-flow)
- **⚡ Parallel execution** — tasks marked parallel: true run concurrently across multiple agents without conflicts.
- Source: https://github.com/automazeio/ccpm
- Extracted from upstream docs: https://raw.githubusercontent.com/automazeio/ccpm/HEAD/README.md
## Documentation
- https://github.com/automazeio/ccpm
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/coordinate-issue-backed-parallel-coding-worktrees-with-ccpm/)
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.