Agent skill · Workflow & Productivity

token-efficiency

Reduce token waste by 40-60% through anti-sycophancy rules, tool-call budgets, one-pass coding, task profiles, and read-before-write enforcement. Inspired by drona23/claude-token-efficient.

Rohit Ghumare73,165★ · +3,601/wk · 3 repos on radarProfile →
claude-codecodexcursor
Install
npx skills add rohitg00/pro-workflow --skill token-efficiency --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 4 KB
Bundled scripts: none
Path: skills/token-efficiency/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,760 · +95 this week
Language: JavaScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Token Efficiency Reduce output token waste and prevent iteration cycles that consume context. ## Trigger Use when: - Sessions feel expensive or slow - Output is verbose with filler text - Claude is re-reading files or iterating unnecessarily - Setting up a new project for token-efficient work ## Anti-Sycophancy Rules These patterns waste 30-60% of output tokens: | Pattern | Example | Fix | |----

More from pro-workflow
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About this skill
What does the token-efficiency skill do?

Reduce token waste by 40-60% through anti-sycophancy rules, tool-call budgets, one-pass coding, task profiles, and read-before-write enforcement. Inspired by drona23/claude-token-efficient.

How do I install it?

Run `npx skills add rohitg00/pro-workflow --skill token-efficiency --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From rohitg00/pro-workflow, a repository with 2,760 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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