token-optimizer

Name: token-optimizer
Rating: 5 (4 reviews)
Author: amunozdev

A practical guide to reduce token consumption and lower AI costs for Claude Code users and Anthropic API developers. It covers file organization, context management, strategic model selection, prompt caching, Batch API, and prompt architecture, backed by real experiment data.

4stars

Updated 2 months ago

View on GitHub ↗

How to add

/plugin marketplace add amunozdev/token-optimizer

The exact command may vary by repository. Check the README on GitHub.

For the skill author

Drop this on your repo README

Shows your skill is listed on Skillteca, generates a backlink and trackable traffic.

[![Listada na Skillteca](https://www.skillteca.com.br/api/badge/token-optimizer/svg)](https://www.skillteca.com.br/skills/token-optimizer?utm_source=badge&utm_medium=readme&utm_campaign=badge)

#ai #api

Related skills

See all in Automação →

MoneyPrinterTurbo

84.1k

利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.

Automaçãoby harry0703

weather-svg-creator

55.6k

Creates an SVG weather card showing the current temperature for Dubai. Writes the SVG to orchestration-workflow/weather.svg and updates orchestration-workflow/output.md.

Automação#aiby shanraisshan

telegram-bot-builder

39.2k

Expert in building Telegram bots that solve real problems - from

Automação#github#gitby sickn33

segment-automation

39.2k

Automate Segment tasks via Rube MCP (Composio): track events, identify users, manage groups, page views, aliases, batch operations. Always search tools first for current schemas.

Automação#github#gitby sickn33

Category alert

Get new Automação skills every Monday

One short email with only the new Automação skills. 4 minutes of reading, no spam, unsubscribe with one click.

You confirm your email on the first send. No spam. Unsubscribe with one click.

Token Optimizer

A comprehensive toolkit to reduce token consumption and lower AI costs — for both Claude Code users (file organization, CLAUDE.md, context hygiene) and API developers (prompt caching, Batch API, effort tuning, prompt architecture). Recommendations are backed by real experiment data and current Anthropic pricing.

Which sections apply to you:

Using Claude Code? → Sections 1-5 and the Quick Wins Checklist.
Calling the Anthropic API directly? → Also read `referenc

[Description truncada. Veja o README completo no GitHub.]

ShareX LinkedIn

Comments · No comments

No comments yet. Be the first.