zcc transforms Claude Code into a project-aware, context-intelligent development powerhouse. It sets up multi-agent workflows, automates repetitive tasks, and manages long-running projects. Ideal for developers and operations teams, zcc integrates with Claude Code to streamline development workflows and enhance productivity.
git clone https://github.com/Git-on-my-level/zcc.gitThe zcc skill is a lightweight Claude Code framework designed to facilitate the setup of multi-agent workflows, manage common repetitive tasks, and oversee long-running projects. By leveraging this skill, users can create automated processes that enhance productivity and efficiency within their teams. The framework is particularly beneficial for developers and AI practitioners who are looking to streamline their workflows and reduce manual intervention in routine tasks. One of the key advantages of using zcc is its ability to save time by automating repetitive processes. Although specific time savings are currently unknown, the framework's design allows for quicker project management and task execution, ultimately leading to improved team output. With an intermediate implementation difficulty, users can expect to set up zcc in approximately 30 minutes, making it accessible for those with a moderate level of technical expertise. This skill is ideal for roles such as product managers, developers, and AI practitioners who are involved in project management or workflow automation. By integrating zcc into their processes, teams can enhance collaboration and ensure that tasks are completed more efficiently. Practical use cases include automating data collection from various sources, coordinating tasks among multiple AI agents, and managing project timelines without the need for constant manual oversight. Incorporating zcc into an AI-first workflow can significantly elevate the way teams operate. As organizations increasingly adopt AI automation, having a framework like zcc allows for seamless integration of AI agent skills into everyday tasks. This skill not only enhances operational efficiency but also positions teams to leverage AI capabilities fully, driving innovation and productivity in their projects.
1. **Initialize the Project:** - Run `zcc init --project [PROJECT_NAME] --path [PROJECT_PATH]` to set up the project context in zcc. - Connect your Sortd account via OAuth in zcc's settings panel. - Tip: Use `zcc config --sortd-board-name "[BOARD_NAME]"` to pre-configure your kanban board structure. 2. **Define the Workflow:** - Use `zcc workflow create --type [TASK_TYPE] --agents [AGENT_NAMES]` to generate your multi-agent setup. - Customize agent roles in the generated YAML file (e.g., `agents/migration_agent.yaml`). - Tip: Start with 3-4 agents focused on distinct phases (e.g., backend, frontend, testing, documentation). 3. **Set Up Automation Rules:** - In Sortd, create automation rules that trigger zcc actions (e.g., new GitHub issue → Sortd card → zcc agent assignment). - Use Sortd's webhook integrations to connect to zcc's API endpoints. - Tip: Test automation rules with dummy data first to ensure proper card routing. 4. **Monitor and Iterate:** - Run `zcc status --board [BOARD_NAME]` daily to get a project health summary. - Review Sortd's activity feed for blocked tasks and update zcc agents accordingly. - Tip: Schedule a weekly review meeting where zcc generates a progress report automatically. 5. **Scale the Solution:** - Add more agents for complex workflows using `zcc agent create --role [NEW_ROLE]`. - Integrate additional tools (e.g., Jira, Slack) via zcc's plugin system. - Tip: Use `zcc export --format json` to back up your workflow configuration and share it with team members.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/Git-on-my-level/zccCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as a zcc-powered development assistant integrated with Sortd for Gmail. Analyze the [PROJECT_NAME] repository in [PROJECT_PATH] and set up a multi-agent workflow to automate [TASK_TYPE] tasks. Use Sortd to create a kanban board for tracking progress, assign tasks to team members via [TEAM_MEMBER_EMAILS], and generate weekly status reports. Focus on [PRIORITY_AREAS] and ensure all dependencies are documented in the project's README. Provide a step-by-step automation plan with estimated timelines and risk mitigation strategies.
### zcc + Sortd Automation Plan for Acme Corp's CRM Integration Project **Project Overview:** Acme Corp is migrating its legacy CRM system to a modern cloud-based solution. The project involves 4 key phases: data migration (2 weeks), API integration (3 weeks), UI/UX overhaul (4 weeks), and testing/QA (2 weeks). The team consists of 3 developers ([email protected], [email protected], [email protected]), 1 QA engineer ([email protected]), and 1 project manager ([email protected]). **Sortd Kanban Board Setup:** 1. **Board Structure:** Created a 6-column board in Sortd with columns: "Backlog", "In Progress", "Code Review", "Testing", "Blocked", and "Done". 2. **Automation Rules:** - New GitHub issues labeled "automation" auto-create Sortd cards in "Backlog" - Cards moved to "In Progress" trigger zcc to assign to the relevant developer - Cards in "Code Review" auto-assign to [email protected] for approval - Cards in "Testing" assign to [email protected] with priority labels **Multi-Agent Workflow:** - **Agent 1 (Migration):** Handles database schema changes and data transformation scripts. Auto-generates migration scripts from Jira tickets and updates Sortd cards with progress percentages. - **Agent 2 (API):** Manages REST API development and third-party integrations. Creates Swagger docs automatically from code comments and links them to Sortd cards. - **Agent 3 (UI):** Focuses on frontend components and user flows. Generates Figma design specs from user stories and attaches them to Sortd cards. - **Agent 4 (QA):** Runs automated test suites nightly and updates Sortd with test coverage metrics. Flags failing tests to [email protected] via email. **Week 1 Progress Report (Generated by zcc):** - **Migration:** 60% complete (12/20 tables migrated). Blocked by legacy system's lack of documentation. [email protected] assigned to coordinate with IT department. - **API:** 45% complete (5/11 endpoints implemented). Waiting on authentication service from security team. [email protected] to follow up. - **UI:** 30% complete (3/10 components built). Design review scheduled for Thursday. [email protected] to present mockups. - **Testing:** 20% coverage achieved. Nightly regression tests passing. [email protected] identified 3 critical bugs in the migration phase. **Risk Mitigation:** 1. **Data Loss Risk:** zcc implemented a daily backup verification script that posts results to a dedicated Sortd card. If backups fail, the card turns red and notifies the entire team. 2. **Timeline Slippage:** zcc monitors GitHub milestones and auto-updates Sortd with ETA adjustments. If any phase exceeds 110% of original estimate, it flags [email protected]. 3. **Team Coordination:** zcc schedules daily 15-minute standups via Sortd's calendar integration and auto-generates meeting notes with action items assigned to specific team members. **Next Steps:** 1. Complete legacy system documentation (Priority: High) 2. Implement authentication service (Priority: High) 3. Review UI mockups with stakeholders (Priority: Medium) 4. Expand test coverage to 50% (Priority: Medium) All tasks are tracked in the Sortd board with real-time updates visible to the entire team. The project manager receives daily Slack notifications summarizing Sortd board changes and zcc-generated risk alerts.
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