genshijin-crew

What problem does it solve?

This Skill helps you decide when to delegate work to specific compressed subagents so you can save main-context tokens while still performing accurate codebase exploration, small edits, and diff reviews.

Core Features & Use Cases

• Delegation decision guide: Chooses between investigator, builder, and reviewer based on whether locations are known, how many files are involved, and whether you need structured findings or surgical changes.
• Structured output contracts: Enforces predictable, grep-friendly formats for investigator results, builder edits, and reviewer issue reporting to reduce wasted context.
• Token-efficiency rationale: Targets reduced tool-result verbosity (about 60% shrink per delegation) to sustain long sessions and avoid context exhaustion.

Quick Start

Use genshijin-crew when you want the AI to delegate investigation/edit/review steps to compressed subagents and return structured findings instead of long prose.