token-efficiency
仓库创建 2026年2月2日最近提交 6 天前SkillHot 收录 20 天前
▸ 精选理由
降低调用成本与延迟,适合高频/大规模交互场景。
这个 Skill 做什么
通过规则与策略显著减少对话与生成过程中的 token 浪费。
通过一套规则把对话和生成过程中的 token 浪费大幅削减,比如反马屁(anti-sycophancy)、调用预算、一次性编码(one-pass)和读后写等策略。适合会话成本高、输出冗长或反复迭代消耗上下文时启用。特点是可落地的策略组合,通常能把 token 消耗减少几十个百分点并加快交付速度。
▸ 展开 SKILL.md 英文原文
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.
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帮我安装这个 skill:https://raw.githubusercontent.com/rohitg00/pro-workflow/main/skills/token-efficiency/SKILL.md或 curl 直取 SKILL.md
curl -fsSL "https://raw.githubusercontent.com/rohitg00/pro-workflow/main/skills/token-efficiency/SKILL.md"SKILL.MD 节选查看完整文件 ↗
# 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 | |---------|---------|-----| | Sycophantic opener | "Sure! Great question!" | Delete. Lead with answer. | | Prompt restatement | "You're asking about X..." | Delete. Answer directly. | | Closing fluff | "Let me know if you need anything!" | Delete. Stop after the answer. | | Unsolicited suggestions
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