What problem does it solve? Coordinating multiple specialized AI agents for 1C:Enterprise development is error-prone: choosing the wrong agent, writing inconsistent prompts, or skipping quality gates leads to poor code and wasted iterations. This Skill provides a navigator for delegating 1C tasks to role-based subagents (architect, writer, reviewer, explorer, simplifier, quality-controller) with ready-made prompt templates and shared instruction blocks. ## Core Features & Use Cases - Complexity assessment and agent routing: Classify tasks (simple/medium/complex/critical) and select the right combination of explorer, architect, writer, and reviewer agents. - Role-based prompt templates: Per-role files (architect.md, writer.md, reviewer.md, explorer.md, simplifier.md, quality-controller.md) with copy-paste Task() call templates for design, implementation, code review, bug fixes, slice decomposition, and verification layers. - Shared instruction blocks (gates): Reusable HALT-gates such as DATA_CONTRACT_GATE, EXTENSION_GUARD, and EXISTING_MECHANISM_GATE that enforce 1C coding discipline across all agent prompts. - Use Case: When implementing a new feature in a 1C configuration, use this Skill to assess complexity, dispatch an explorer to map existing modules, have an architect produce design.md, delegate BSL coding to the writer with contract gates, and run a mandatory reviewer pass with auto-fix iterations. ## Quick Start Ask the assistant to plan agent delegation for your 1C development task using the 1c-agent-patterns reference, starting with a complexity assessment.