maiconfz--context-token-reduction--reduce-context-tokens

What problem does it solve? AI coding assistants lose effectiveness when a project's context footprint grows too large, but teams rarely know which files waste tokens or how to shrink them. This Skill inventories context-token waste across the host project and produces an ordered reduction plan without touching any code. ## Core Features & Use Cases - Footprint Analysis: Invokes a token-footprint analyst agent to inventory context-token waste across the host project tree and presents a Markdown footprint report. - Consent-Gated Planning: Asks for explicit user consent before drafting a reduction plan, and runs up to three clarification Q&A cycles to resolve blocking questions. - Plan-Only Handoff: Delivers the footprint report, an ordered reduction plan, and any open questions, explicitly refusing to implement changes itself. - Use Case: A developer notices their AI assistant degrading in a large monorepo. They run this flow to get a token footprint report and a prioritized plan for trimming context files, then hand implementation to a separate agent. ## Quick Start Analyze this workspace for context-token waste and draft an ordered reduction plan without changing any code.