cs-ceo

Multi-skill workflow orchestration automates end-to-end software tasks by estimating effort and autonomously distributing work across planning, testing, code review, and deployment skills. It auto-discovers installed partner skills to compose complete workflows from a single command.

Task distribution across multiple Claude Code skills is coordinated through a central orchestrator that dynamically resolves partners and applies phase-based timing inference. It auto-detects external knowledge needs and sequences subtasks across Pre, In, Post, and Wraps execution phases.

Timing inference in cross-domain task orchestration determines when each subtask executes relative to others using Pre, In, Post, and Wraps phases. This coordinates multiple partner skills by aligning their execution order within an end-to-end automation workflow.

The orchestrator auto-discovers installed skills for dynamic partner resolution by exploring installed skills, marketplaces, and caches. It composes end-to-end workflows by matching available partner skills like CS-test, CS-plan, and cs-design to estimated task requirements.

Handling external knowledge needs in cross-domain automation workflows is managed by an External Knowledge Gate that auto-learns when to fetch outside information. It incorporates fetched knowledge directly into the planning and task distribution process.

Autonomous task distribution for software engineering workflows depends on having compatible partner skills like CS-test and CS-plan already installed. Without these partner skills available for dynamic resolution, the orchestrator cannot compose complete end-to-end automation workflows.