Friendly
bergside/awesome-design-skills
Approachable, intuitive design with rounded elements, ample whitespace, and soft pastel color palettes.
明确输入、输出、成功标准、决策和未解决的条件，使下游智能体无需猜测即可执行。用于编写或修改面向 LLM 的提示词、交接、规划产物、评审、报告或生成的指令。
MITAuto-check passed
Install LLM Friendly Context
$ npx skills add shinpr/ai-coding-project-boilerplate --skill llm-friendly-context -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install shinpr/ai-coding-project-boilerplate llm-friendly-context --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills-zh-CN/llm-friendly-context .claude/skills/llm-friendly-context && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "llm-friendly-context" agent skill from https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-zh-CN/llm-friendly-context into .claude/skills/llm-friendly-context/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-friendly-context", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-zh-CN/llm-friendly-contextType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add shinpr/ai-coding-project-boilerplate --skill llm-friendly-context -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install shinpr/ai-coding-project-boilerplate llm-friendly-context --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills-zh-CN/llm-friendly-context .agents/skills/llm-friendly-context && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "llm-friendly-context" agent skill from https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-zh-CN/llm-friendly-context into .agents/skills/llm-friendly-context/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-friendly-context", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add shinpr/ai-coding-project-boilerplate --skill llm-friendly-context -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install shinpr/ai-coding-project-boilerplate llm-friendly-context --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills-zh-CN/llm-friendly-context .cursor/skills/llm-friendly-context && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "llm-friendly-context" agent skill from https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-zh-CN/llm-friendly-context into .cursor/skills/llm-friendly-context/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-friendly-context", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/shinpr/ai-coding-project-boilerplate.git --path .claude/skills-zh-CN/llm-friendly-context--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add shinpr/ai-coding-project-boilerplate --skill llm-friendly-context -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install shinpr/ai-coding-project-boilerplate llm-friendly-context --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills-zh-CN/llm-friendly-context .gemini/skills/llm-friendly-context && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "llm-friendly-context" agent skill from https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-zh-CN/llm-friendly-context into .gemini/skills/llm-friendly-context/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-friendly-context", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install shinpr/ai-coding-project-boilerplate llm-friendly-contextInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add shinpr/ai-coding-project-boilerplate --skill llm-friendly-context -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills-zh-CN/llm-friendly-context .github/skills/llm-friendly-context && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "llm-friendly-context" agent skill from https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-zh-CN/llm-friendly-context into .github/skills/llm-friendly-context/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-friendly-context", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add shinpr/ai-coding-project-boilerplate --skill llm-friendly-context -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install shinpr/ai-coding-project-boilerplate llm-friendly-context --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills-zh-CN/llm-friendly-context .opencode/skills/llm-friendly-context && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "llm-friendly-context" agent skill from https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-zh-CN/llm-friendly-context into .opencode/skills/llm-friendly-context/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-friendly-context", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
llm-friendly-context- GitHub stars
- 233
- Token cost
- ~665 tokens
- SKILL.md length
- 106 words
- Files
- 1
- Skills in repo
- 41
- Repo updated
- First seen
- Licence
- MIT
At a glance
明确输入、输出、成功标准、决策和未解决的条件，使下游智能体无需猜测即可执行。用于编写或修改面向 LLM 的提示词、交接、规划产物、评审、报告或生成的指令。
- Works in 7 steps: 使用正向、可执行的指令 → 将模糊指令具体化 → 明确输出形态 → …
- SKILL.md covers 核心规则, 改写模式, 交接检查清单 and 生成产物检查清单
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
LLM Friendly Context is an agent skill from shinpr/ai-coding-project-boilerplate. 明确输入、输出、成功标准、决策和未解决的条件，使下游智能体无需猜测即可执行。用于编写或修改面向 LLM 的提示词、交接、规划产物、评审、报告或生成的指令。
Its SKILL.md is about 670 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Agentic coding TypeScript boilerplate for Claude Code: sub-agent workflows with built-in quality checks and context engineering. The licence is MIT.
Example prompts
- “/llm-friendly-context”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- 使用正向、可执行的指令
- 将模糊指令具体化
- 明确输出形态
- 提供最小且充分的上下文
- 将复杂工作拆解为可验证的步骤
- 明确允许不确定性
- 保持约束的适度性
What it can do on your machine
Read from SKILL.md and the folder at commit 56913a2. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
LLM Friendly Context loads about 665 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 106 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from shinpr/ai-coding-project-boilerplate at commit 56913a2, republished under its MIT licence (© shinpr). 106 words, ~665 tokens.
Download SKILL.mdSave it as
.claude/skills/llm-friendly-context/SKILL.md (or your agent's skills folder).- name
- llm-friendly-context
- description
- 明确输入、输出、成功标准、决策和未解决的条件，使下游智能体无需猜测即可执行。用于编写或修改面向 LLM 的提示词、交接、规划产物、评审、报告或生成的指令。
面向 LLM 的友好上下文
目标是实现稳定的下游执行：下一个智能体应当知道要读什么、要做什么、什么算成功，以及哪些未解决的决策会改变结果。
本技能规范面向 LLM 的输出，使提示词、交接和生成的产物清晰明确。调用方提供产物类型以及任何产物特定的模板或输入契约；只包含其使用方用来决策、行动或验证所需的信息。当使用方根据字段分支处理时，使用已声明契约的字段名和取值含义。
核心规则
使用正向、可执行的指令
- 说明下一个智能体应当做什么
- 将质量策略转化为正向标准
- 示例：“在已记录的兼容性用例中保持现有公共 API 行为不变。”
- 只有在禁令保护不可逆边界或已发布契约时才保留它；此时要同时说明受保护的条件和允许的行动
将模糊指令具体化
- 用可观测的条件、路径、命令、schema、示例或决策规则替代主观用词
- 以下用词在把决策留给下一个智能体时通常需要澄清：
appropriate（合适）、proper（恰当）、related（相关）、existing behavior（现有行为）、optional（可选）、as needed（按需）、if needed（如有需要）、per convention（按惯例）、未解决的备选方案、TBD（待定）、placeholder（占位符）
明确输出形态
- 定义使用方会用到的章节、字段、表格列、JSON 键或检查清单项
- 对于交接，仅在会影响下一步转换时才包含生成的产物路径和状态字段
提供最小且充分的上下文
- “充分”是指对所分配的行动而言充分，而非提供完整背景：所包含的每一项都会被该行动或其必须产出的结果所使用
- 包含该行动会用到的目的、来源产物、硬性约束、已接受的决策和未解决的条件
- 优先使用具体的文件路径和章节提示，而非宽泛的模块名
- 只要引用还能改变范围内的决策、行动或验证结果，就继续追踪；一旦下一个链接只是确认已经决定的内容，就停止
将复杂工作拆解为可验证的步骤
- 将有 3 个及以上目标或存在先后依赖关系的工作拆分为有序步骤
- 每个步骤都需要一个检查点：什么依据能证明它已完成
明确允许不确定性
- 在将某个缺失的操作细节视为未解决之前，先从约束性产物和具有代表性的仓库依据中解决它
- 记录剩余的不确定性及其对结果或证明的影响。在已确认的边界内做出可逆的、仓库本地的选择，并保留所用的依据
- 将阻塞下一步的未知项转化为继续所需的具体、可验证依据要求。仅当已确认的成果、目标状态需求与非目标无法在没有用户选择的情况下同时成立时，或不可逆的外部行动需要授权时，才询问用户。当只是证明不可得时，完成不受影响的工作，并准确报告哪些内容无法验证及原因
保持约束的适度性
- 只添加能减少歧义或保护真实需求的约束
- 当目标行动、上下文和成功标准已经明确时，让简单的下游任务保持轻量
- 将明确表述的规模预期——
minimal（最小化）、a few lines（几行）、明确的行数或文件数估算——视为覆盖整个已完成差异的单一预算，而非按文件或按步骤分摊。当工作无法满足该预算时，报告超出情况及原因，而不是悄悄超支
改写模式
在将提示词、交接或产物视为完成之前，先应用以下改写。
| 模糊形式 | 改写为 |
|---|---|
作为未解决选择使用的 optional | 必需、省略，或仅在指定条件下必需 |
| 下一个智能体必须从中选择的多个备选方案 | 已选定的选项，或一条确定性的决策规则 |
as needed / if needed | 触发条件和所需的行动 |
per convention | 需要遵循的文件、函数、测试或已记录的惯例 |
related files | 具体的路径、通配符或搜索提示 |
existing behavior | 需要保持的可观测行为、源文件、测试、API 响应或 UI 状态 |
placeholder | 确切的临时值/行为、允许的依赖，以及验证预期 |
作为必需信息占位符使用的 TBD | 它会影响的决策以及继续所需的具体、可验证依据；如果该项对下游没有影响则省略 |
appropriate / proper | 可衡量的标准或检查清单 |
交接检查清单
在将提示词或产物发送给另一个智能体之前，请核实：
- 目标行动是明确的
- 已指明所需的输入路径、来源产物和与决策相关的事实
- 所包含的每一项上下文都会被目标行动或其所需结果使用
- 已接受的决策和约束只陈述一次，没有替代措辞
- 已指定输出格式或预期的状态字段
- 成功标准是可观测的
- 模糊表达已被改写或标记为未解决
- 任何明确表述的规模预期都以覆盖已完成差异的单一预算形式表达，并说明了超支上报条件
- 下一个智能体能够根据提供的目的、来源、标准和依据完成其范围内的工作，或者明确返回继续所需的具体、可验证依据或权威工作流停止点
生成产物检查清单
在编写或最终确定生成的文档之前：
- 每个需求、主张、任务、测试骨架或评审发现都有足够的来源上下文，可以追溯其存在原因
- 每条可执行指令都指明了目标、行动和预期结果
- 验证步骤说明了要运行或观察什么，以及什么结果证明成功
- 如果某个产物源自另一个产物，被复制的决策在措辞和含义上保持一致
- 任何明确表述的规模预期都以覆盖已完成产物的单一预算形式表达，并说明了超支上报条件
- 缺失的信息记录了它所影响的决策或证明；只有已确认的价值边界选择或不可逆外部行动的授权才构成阻塞性上报
© shinpr, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .claude/skills-zh-CN/llm-friendly-context of shinpr/ai-coding-project-boilerplate.
Open the folder on GitHubat commit 56913a2
Compare with similar skills
LLM Friendly Context next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| LLM Friendly Context this skillshinpr/ai-coding-project-boilerplate | 233 | — | ~665 | Automated safety check: Pass | MIT | |
| Friendlybergside/awesome-design-skills | 3.1k | 1 repos | ~884 | Automated safety check: Pass | MIT | |
| Make Friends As An Adultmohitagw15856/pm-claude-skills | 1.4k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Mobile Friendlykostja94/marketing-skills | 1k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Yao Geo Article Friendlyyaojingang/yao-geo-skills | 871 | — | ~719 | Automated safety check: Pass | MIT | |
| Support A Friend In Crisismohitagw15856/pm-claude-skills | 1.4k | — | ~1.3k | Automated safety check: Pass | MIT |
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Make Friends As An Adult
mohitagw15856/pm-claude-skills
Build a real plan to make friends as an adult — where to meet people you'd actually click with, how to turn acquaintances into friends, and past the awkwardness.
Mobile Friendly
kostja94/marketing-skills
When the user wants to optimize for mobile-first indexing or fix mobile usability.
Yao Geo Article Friendly
yaojingang/yao-geo-skills
Optimize an existing article or local article file into a GEO and AI-search-friendly rewrite with source-bound evidence, structure, semantic density, scoring, and change notes.
Support A Friend In Crisis
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Show up well for someone going through something hard — loss, illness, a breakup, a crisis — with the right words, the right presence, and concrete help, instead of freezing or saying the wrong thing.
Friendly Python
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Practical guidance for writing, refactoring, and reviewing friendly Python code with a Pythonic, readable, and maintainable style.
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Questions about LLM Friendly Context
What does LLM Friendly Context do?
明确输入、输出、成功标准、决策和未解决的条件，使下游智能体无需猜测即可执行。用于编写或修改面向 LLM 的提示词、交接、规划产物、评审、报告或生成的指令。. LLM Friendly Context is an agent skill from shinpr/ai-coding-project-boilerplate.
How do I install LLM Friendly Context in Claude Code?
Run `npx skills add shinpr/ai-coding-project-boilerplate --skill llm-friendly-context -a claude-code`. Or copy the skill folder (.claude/skills-zh-CN/llm-friendly-context in shinpr/ai-coding-project-boilerplate) into .claude/skills/llm-friendly-context in your project. Claude Code loads it when a task matches its description.
How do I install LLM Friendly Context in Codex?
Run `npx skills add shinpr/ai-coding-project-boilerplate --skill llm-friendly-context -a codex`. Or copy the skill folder (.claude/skills-zh-CN/llm-friendly-context in shinpr/ai-coding-project-boilerplate) into .agents/skills/llm-friendly-context in your project. Codex loads it when a task matches its description.
Can I use LLM Friendly Context in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add shinpr/ai-coding-project-boilerplate --skill llm-friendly-context -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llm-friendly-context, .gemini/skills/llm-friendly-context, .github/skills/llm-friendly-context and .opencode/skills/llm-friendly-context in your project.
What does LLM Friendly Context need to run?
SKILL.md names no scripts, command-line tools or credentials: LLM Friendly Context is instructions for the agent only.
Does LLM Friendly Context access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is LLM Friendly Context safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does LLM Friendly Context use?
LLM Friendly Context is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does LLM Friendly Context use?
About 665 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to LLM Friendly Context?
Skills that share tags, products or a category with LLM Friendly Context: Friendly (bergside/awesome-design-skills, 3.1k stars), Make Friends As An Adult (mohitagw15856/pm-claude-skills, 1.4k stars), Mobile Friendly (kostja94/marketing-skills, 1k stars) and Yao Geo Article Friendly (yaojingang/yao-geo-skills, 871 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains LLM Friendly Context?
shinpr (a GitHub user) maintains it in shinpr/ai-coding-project-boilerplate, which has 233 GitHub stars. The repository holds 41 skills in this directory. The repository was last updated on October 4, 2026.
Source: shinpr/ai-coding-project-boilerplate on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.