AI Coding Token Optimizerv1.0.2

A mid-sized SaaS team finds its CLAUDE.md has grown past 40 KB after two years of feature work, so every Claude Code session burns roughly 10,000 tokens before reading the task. The team runs this skill to measure per-host always-loaded context, move reference sections verbatim into docs/map routers and area READMEs, and keep only binding rules in the root entry point. The result is a sub-8 KB entry point and on-demand routers that agents open only when a task needs them.

An agency maintaining a legacy WordPress plugin wants Codex to work efficiently without putting agent routers into plugin folders that ship to customers. The skill inspects .distignore and packaging config, routes shipped areas from docs/map instead, and writes AGENTS.md and area routers outside the release archive. It also moves plugin environment tables and deploy notes out of the entry point into docs/guides.

A platform team runs a monorepo where each package has its own entry point, and nested instruction files auto-load per area and silently inflate session cost. The skill measures each host separately, gives each package its own AGENTS.md and router, and adds a root router that links down. Rediscovery searches drop sharply because agents navigate the map instead of scanning directories.

A solo developer building multiple side projects notices AI coding costs climbing as instruction files accumulate across repos. Applying the skill to each project keeps entry points lean, moves gotcha lists, long examples and release checklists into task routers, and marks generated and runtime data clearly. Lower token usage per session directly reduces monthly API spend.

A fintech engineering team must keep security rules, branch workflow and hard rules always visible while pushing compliance documentation, deploy walkthroughs and server layouts out of the entry point. The skill sorts each section as binding or reference, moves reference sections verbatim into owning guides, and resolves contradictions against the code. Auditors can still find the full documentation one link away.

The skill itself stays MIT-licensed and free to adopt, while curated router templates, measurement dashboards and adoption playbooks for monorepos or regulated environments sit behind a paid tier. Teams pay for the shortcuts that remove the first-week setup work.

Expert-led engagements where the author or certified partners adopt the skill inside a client repository, measure per-host token loads, restructure entry points and routers, and train the team on upkeep. Pricing is per repository or per engagement.

A hosted service that continuously scans repositories, measures always-loaded context across Claude Code, Codex and other hosts, flags entry points growing past thresholds, and recommends or automates router splits. It monetizes the ongoing measurement rather than the one-time restructure.