supervisor-methodology

What problem does it solve?

Coordinate and enforce a high-throughput, parallel execution model for multiple autonomous agents by providing granular component-level planning, standardized contracts, and governance to prevent scope creep.

Core Features & Use Cases

• Granular Component-Level Planning (MANDATORY): Define detailed specifications, service contracts, inputs/outputs, and testability for every component to enable parallel work without phased execution.
• Autonomous Operation: Agents act on behalf of the user with proactive decision-making while preserving approvals for architecture and scope changes.
• Agent Management & Execution Rules: Gated access to skills, timer-driven progress checks, and non-shared-context collaboration to maximize throughput.
• Verification & Quality Control: End-to-end proof requirements, real-time progress reporting, and strict validation to prevent false success claims.
• Testing & TD Guidance: Emphasizes specs-before-code, test-first development with test-rig, and coverage enforcement.

Quick Start

Load this skill to begin orchestrating parallel agents with granular component-level planning and governance.