Skill Claude CodeCodex
Tighten user prompts before they reach a model — strip conversational filler, drop fragments, dedupe sentences, rank by relevance, and compose a short, declarative system prompt that doesn't waste context. CPU-only, deterministic, dependency-free. Use it whenever a request is long, rambling, or covered in pleasantries…
Skill Claude CodeCodex
Shrink LLM prompts before sending them — collapse duplicate tool results, distill old turns, minify tool schemas and system prompts, prune to a token budget, and (opt-in) prune large HTML tool results. On the output side, the proxy can cap/truncate streamed completions and strip lead-in filler. Lossy by default…
MCP server Claude CodeCodexCursor +2
MCP server "slimtoken" as configured in greyok00/slimtoken. Runs locally from the slimtoken Python package.