token-efficiency

Cross-platform token audit and optimization for AI coding agents (Cursor, Codex, Claude Code, Hermes, Windsurf, Cline, OpenClaw, Gemini CLI, Aider). Scans always-on context, MCP tools, skills; ranks ROI fixes; installs L0-L3 rules; shrinks large tool outputs. Use for save tokens, token audit, context bloat, MCP prune, reduce API cost, agent efficiency, payload shrink.

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Repository: HHU3637kr/skills
Last source activity: June 16, 2026 at 02:31
Detected SKILL.md language: English
Stars: 144
Forks: 20

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Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.

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npx skills add https://github.com/HHU3637kr/skills --skill token-efficiency

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48 files

SKILL.md

Source instructions · Read-only preview

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spec-start

当用户开始新的开发任务、需要启动完整 Spec 流程（需求对齐→探索→设计→实现→测试→收尾），或需要为一个新 Spec 创建协作上下文和 GitHub Flow 工作分支时使用。不要用于已有完成 Spec 的小迭代（用 spec-update）或项目首次初始化（用 spec-init）。

2026-08-28

spec-swarm

当用户要求以「Agent 主控 + 全程 spawn 子 Agent」的方式启动 R&K Flow 开发流程时使用：当前 Agent 只做编排（账本、门禁代问、批次调度），七个角色的实质工作一律交子 Agent 执行。典型信号：用户说"用 swarm 模式启动"/"蜂群模式"/"所有任务都 spawn 子 Agent 做"/"你只做主控不要自己写代码"。本 Skill 只做前置校验、写入 execution 字段、声明编排硬约束，随后委派 spec-start 跑既有五阶段流程。不要用于运行时不支持子 Agent 的环境（退回 spec-start 串行路径）、已有活跃 Spec 的小迭代（用 spec-update），也不要用它替代 spec-start —— 流程本体、账本模板、门禁定义仍由 spec-start 唯一承载。

2026-08-28

git-work

当 spec-start 需要为新 Spec 创建 GitHub Flow 工作分支，spec-update 需要复用/校验当前 Spec 分支，或 spec-end/spec-update 需要提交、推送、创建 PR、合并后清理分支时使用。也用于发版管理：建立或维护 release 分支、打版本 tag、发补丁版本、把修复 cherry-pick 到多条发布线、核对 tag 与分支是否错位、对齐镜像标签与 git tag、清理带版本号的旧分支。不要用于单次查看 git 状态、普通 diff 查询，或用户明确要求不走 GitHub Flow 的临时操作。

2026-08-24

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name	token-efficiency
description	Cross-platform token audit and optimization for AI coding agents (Cursor, Codex, Claude Code, Hermes, Windsurf, Cline, OpenClaw, Gemini CLI, Aider). Scans always-on context, MCP tools, skills; ranks ROI fixes; installs L0-L3 rules; shrinks large tool outputs. Use for save tokens, token audit, context bloat, MCP prune, reduce API cost, agent efficiency, payload shrink.
disable-model-invocation	true