CCPM is a project management skill system for AI agents that structures development work through GitHub Issues and Git worktrees to enable parallel agent execution.
The tool addresses the problem of context loss, conflicting parallel work, and invisible progress in AI-driven development. It enforces spec-driven development by converting ideas into product requirement documents, then epics, then GitHub issues, and finally code. Each phase maintains full traceability, and the system uses GitHub Issues as a persistent source of truth rather than relying on isolated chat sessions. Git worktrees enable multiple agents to work on independent code streams simultaneously without blocking each other, while issue comments create an audit trail of all decisions and progress.
Teams should adopt this tool if they run multiple AI agents on the same project and need visibility into what each agent is doing, or if they struggle with context evaporating between development sessions. It suits projects where requirements need to stay synchronized across human and agent contributors. The tool works with any Agent Skills-compatible harness, including Claude Code, Codex, OpenCode, Factory, Amp, and Cursor, so it integrates into existing development environments rather than requiring a separate platform.
The project shows active development with ongoing refinement of the skill system and integration patterns. Documentation is comprehensive, covering workflow phases, technical implementation details, and practical examples. The maintainers have published related tooling like proof for capturing visual evidence of agent work, indicating a broader ecosystem approach to agent-driven development.
