Orchestrate multi-step runs by walking the RUN-DAG and dispatching tasks.
npx skills add https://github.com/Viindoo/odoo-mcp-client --skill run-harness
Please help me install this Agent Skill. Skill: run-harness Source: https://github.com/Viindoo/odoo-mcp-client/tree/main/plugins/odoo-ai-agents/skills/run-harness Command: npx skills add https://github.com/Viindoo/odoo-mcp-client --skill run-harness
This Skill handles the orchestration of complex multi-step runs, ensuring each step is executed correctly and the overall process progresses smoothly.
Start the run-harness to execute the run specified in the 'run-<id>.json' file.
High-intent search queries and answers about installing and using this skill.
Multi-step workflow orchestration is automated by walking the RUN-DAG, dispatching tasks, managing worktrees, and handling human gates for critical steps. This ensures each phase of a production-grade engineering run executes correctly and advances smoothly.
A drive-to-done loop in run management automates the process of walking the RUN-DAG, resolving gate tiers, dispatching tasks, and advancing the run state. It orchestrates complex workflows to completion without manual state tracking.
Managing code integration across multiple development waves is handled through between-wave integration, which automatically merges module changes from different coding waves. This ensures code consistency and quality throughout the multi-step run.
Yes, you can enforce human approval gates for critical steps in workflow automation. The orchestration requires human intervention for specific actions, such as merging code or handling L2 gates, before the run state can advance.
Git worktrees for automated engineering tasks are provisioned automatically by the orchestration harness. It ensures dedicated worktrees are created for source-writing nodes that do not self-provision, isolating changes safely.
Executing multi-step run orchestration requires dependencies like odoo-semantic-mcp, git-toolkit, odoo-coding, and odoo-pr-monitoring. These tools provide the necessary semantic context, coding capabilities, and PR monitoring for the run.
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