Output Formatting

by kangarooking

Output Formatting is an AI Engineering skill for Claude Code, published by kangarooking in system-prompt-skills.

182 stars40 forkson kangarooking/system-prompt-skillsAdded 2026/09/06+3% in starsRepository updated 2026/05/04

View source on GitHub Download repo ZIP

agent-designagent-skillsai-agentscangjie-skillcontext-managementprompt-engineeringprompt-injectionsystem-prompttool-use

Install in seconds

Install Output Formatting

Copy Output Formatting into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/kangarooking/system-prompt-skills/tree/main/output-formatting ~/.claude/skills/output-formatting

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/kangarooking/system-prompt-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: output-formatting/SKILL.md in kangarooking/system-prompt-skills
Installs to: ~/.claude/skills/output-formatting
Collection: One of 15 skills cataloged from this repository
Category: AI Engineering — 3278 skills

What Output Formatting does

Output Formatting defines response length, structure, and style rules for AI outputs. Use it when a prompt needs to adapt to a platform, avoid canned phrasing, or control density and tone.

Output Formatting is cataloged under AI Engineering on DirSkills. Output Formatting comes from a repository tagged agent-design, agent-skills, ai-agents, cangjie-skill and context-management.

Documentation

README

Excerpt

输出格式与风格控制

R — 原文 (Reading)

多个 AI 供应商系统提示词中共同浮现的输出控制模式：按复杂度自适应长度、按平台定制格式、用反"AI slop"启发式规则消除机械化表达。Claude Mobile 按屏幕尺寸分四档长度；Gemini CLI 限制三行以内；Meta AI 禁用"Here's a..."等套话；Le Chat 用表格替代列表；Claude Design 禁用圆角容器和 Inter/Roboto 字体。

I — 方法论骨架 (Interpretation)

复杂度分级 — 按问题深度映射输出长度档位（一句话 / 短列表 / 两三段 / 完整文档）
平台感知 — 检测目标载体（CLI / 移动端 / 桌面 / API），应用对应格式约束
前置答案原则 — 结论先行，解释后置；"Always lead with the answer"
反 AI slop 规则集 — 禁止套话开头、无意义表情符号、过度格式化、破折号滥用
领域标记语言 — 为特定平台定制标记（Notion 压缩 URL {{1}}、GPT-4o image_group JSON）
格式降级策略 — 默认散文体，仅在必要时使用列表/表格，绝不"为了好看而格式化"
引用密度控制 — 代码引用使用 file_path:line_number 格式，摘要限制在 1-2 句

A1 — 案例分析 (Past Application)

案例: Claude Mobile 屏幕尺寸自适应输出

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Output Formatting

What else does kangarooking publish alongside Output Formatting?
Output Formatting is one of 15 skills that DirSkills catalogs from kangarooking/system-prompt-skills, the repository it ships in. Its siblings there include Agent Delegation, Citation System and Code Engineering. Each one is a separate skill with its own page in this directory, installs the same way Output Formatting does, and is maintained by kangarooking in that same repository. The rest of the collection is listed on the kangarooking/system-prompt-skills page.
How does Output Formatting compare to other AI Engineering skills?
Output Formatting ranks #3051 by stars among the 3278 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Output Formatting against them. Open each page to compare what they document and how they install.