credit-optimizer-v5 is an optimization tool designed to help users reduce Manus AI credit consumption. According to official information, Manus charges credits per task, and many users waste 30% to 75% of their credits due to default settings. This tool saves credits by overriding these default behaviors.
Main capabilities include: Credit Optimizer v5's intelligent routing, which analyzes each prompt and selects the lowest-cost execution path with the same quality; intent classification (covering 12 categories, such as code, research, creative, data, translation, etc.); model routing (Standard mode and Max mode, using Max only when complexity truly requires it); chat mode detection (routing simple Q&A to chat mode, with a credit cost of 0); batch detection (grouping related tasks to reduce overhead); context hygiene (compressing accumulated context to keep token costs linear). Fast Navigation v2.0 provides raw speed, using httpx and selectolax to replace Playwright overhead (30–2,000x speed improvement), supports browser cookie bridging, asynchronous parallel fetching (10 URLs completed in 1.3 seconds instead of over 150 seconds), and smart disk caching with TTL. Together they produce a compound effect.
How to use: As a Manus Skill (recommended), after purchasing from Gumroad or SkillFlow, copy the skill files to ~/skills/credit-optimizer/ and ~/skills/fast-navigation/, and both will automatically activate on every task with no configuration required. As an MCP server (free, Credit Optimizer only), it can be added to the MCP configuration and supports compatible clients such as Claude Desktop, Cursor, Windsurf, and Copilot. The paid Skill includes Fast Navigation, while the MCP server does not.
Use cases: Suitable for users who want to reduce Manus AI usage costs and optimize credit consumption. The official price is stated as a one-time $9 (single) or $12 (bundle including Fast Navigation), which pays for itself after about 36 prompts, with estimated annual savings of about $500 to over $1,000. The tool claims to have been audited across 53 adversarial scenarios and includes a quality veto rule: if optimization would cause output quality to drop by more than 1%, that optimization is skipped. In the worst case it does nothing; in the best case it saves 75%.
Limitations: Official information does not provide detailed information about specific compatibility, system requirements, or technical limitations. This tool targets only the Manus AI credit system and may not apply to other platforms.
