simple-mode

Natural-language orchestration automatically detects your intent and coordinates multiple skills in sequence. Simple Mode parses commands like @simple-mode *build to invoke enhancer, planner, architect, designer, implementer, reviewer, tester, debugger, and improver skills in the appropriate order for build, review, fix, or test workflows.

Yes. This orchestrator automates multi-skill workflows by accepting natural-language commands, invoking skills via @skill-name syntax, passing outputs between skills automatically, and providing progress tracking. It handles coordination across the full lifecycle without manual step-by-step delegation.

Coordinating multiple AI skills manually is error-prone and tedious. Orchestration detects intent from natural language, automatically delegates work to the right skills in sequence, tracks progress, and summarizes results, eliminating manual handoffs.

Intent detection parses natural language to identify build, review, fix, or test intents. The orchestrator then invokes the appropriate skill sequence for that intent, such as planner → architect → designer → implementer for build operations.

Yes. Simple Mode is designed for TappsCodingAgents and integrates Context7 prompt patterns and workflow templates to coordinate enhancer, planner, architect, designer, implementer, reviewer, tester, debugger, and improver skills.

Outputs are automatically passed between skills in the execution chain. The orchestrator maintains context across steps, reports progress after each skill completes, and delivers a final summary after the workflow finishes.