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Agent Skill · 研究检索

cli-design-expert(CLI 设计 expert)

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

cli-design-expert 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 56,028。

总安装 465周安装 19GitHub Stars 公开资料未说明下载 149核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:cli-design-expert(CLI 设计 expert)
来源仓库:https://github.com/abpai/skills
仓库路径:skills/cli-design-expert
安装命令:
npx skills add https://github.com/abpai/skills --skill cli-design-expert
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/abpai/skills --skill cli-design-expert

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

cli-design-expert 提供 CLI 设计的工程级审查,确保工具对人类用户和自动化脚本均友好易用。适用于破坏性操作防护、输出格式化、错误语义等关键质量属性的合规性检查。强制要求非交互式输入路径,禁止仅依赖 prompts 的设计模式,保障 CI 环境可用性。

快速失败机制覆盖安全性、可预测性和输出清晰度三大维度,P0 级问题必须立即修复。参考 clig.dev 标准制定契约文档,输出包含命令集、标志说明、示例和退出码定义。

来源仓库内路径:skills/cli-design-expert

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/abpai/skills --skill cli-design-expert;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

cli-design-expert 怎么安装?

在终端执行 npx skills add https://github.com/abpai/skills --skill cli-design-expert。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

cli-design-expert 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

cli-design-expert 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

cli-design-expert 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

cli-design-expert 用的人多吗?

公开数据是累计安装 465 次,近一周安装 19 次,下载 149 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

cli-design-expert 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
cli-design-expert

CLI 设计 expert · 本页

465—接触敏感数据未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

CLI Design Expert

Use this skill to design, refactor, or audit CLIs that are:

  • Human-friendly for interactive use
  • Predictable in scripts and CI
  • Safe for destructive operations
  • Clear in output, errors, and exit semantics

Primary reference: references/CLI_GUIDELINES.md.

Working stance

Be direct and engineering-first. If a design is fragile, ambiguous, or hostile to automation, call it out and propose concrete fixes.

Non-negotiable checks (fast fail)

Treat any failure below as P0.

  1. Non-interactive path is required
  • Never make an interactive prompt the only input path.
  • Every prompt needs a non-interactive alternative (flag/arg/file/stdin).
  • If stdin is not a TTY, do not prompt. Fail with actionable guidance and required flags.
  • Provide --no-input (or equivalent) to disable prompts.
  1. Secrets safety
  • Never accept secrets via flags (leaks via ps and shell history).
  • Prefer stdin, --secret-file, OS keychain, or a TTY-only prompt with a non-interactive alternative.
  1. Scriptability and CI behavior
  • Detect TTY and adapt output and interactivity.
  • Disable spinners/animations when stdout is not a TTY.
  • Disable color when stdout/stderr are not TTY, when NO_COLOR is set, when TERM=dumb, or when --no-color is passed.
  • Keep stdout clean for data; send status/progress/logging to stderr.
  1. Output streams and exit codes
  • Primary pipeable output goes to stdout.
  • Logs, warnings, progress, and errors go to stderr.
  • Exit 0 on success; non-zero on failure. Map non-zero codes to meaningful failure categories.
  1. Risk-scaled safeguards
  • For destructive actions, use confirmations that scale with risk.
  • Support a scriptable bypass (e.g., --force or --yes), and consider --confirm="resource-name" for severe actions.
  • Offer --dry-run for risky or complex state changes when possible.
  1. Signals and cancellation
  • Ctrl-C (SIGINT) should exit quickly with immediate feedback.
  • Timebox cleanup and allow a second Ctrl-C to force exit if cleanup is slow.

Quick triage questions

  • Who is the user: interactive human, script/CI, or both?
  • What is the job-to-be-done: query/list state, or change state?
  • What are the core objects and verbs?
  • What must stay stable for automation (output format, exit codes, flags)?

Procedure: Design a new CLI (or add a command)

Step 1: Propose a command model

  • Keep the initial surface area small.
  • Choose one model and stay consistent:
  • Single command + flags for simple tools.
  • Subcommands (often noun-verb or verb-noun) for multi-task tools.

Deliverable:

  • List of commands with one-line purposes.

Step 2: Decide positional args vs flags

Heuristic:

  • Use positional args only for obvious primary object(s) where order is standard and unambiguous.
  • If two positionals can be confused (similar shape/meaning) or order is not obvious, use flags instead.
  • Prefer long flags. Use short flags only for the most common options, and keep them consistent across commands.

Deliverable:

  • Usage line + args/flags tables per command.

Step 3: Define output contract (human + machine)

  • Define exactly what goes to stdout vs stderr.
  • Provide at least one machine-readable mode when helpful (commonly --json).
  • Keep human-readable output scannable and useful.

Deliverable:

  • stdout content
  • stderr content
  • Exit-code map
  • High-level --json schema (if supported)

Step 4: Write help text and examples

  • -h/--help must work even when other args are wrong.
  • If run incorrectly, show a short error + the relevant usage + "use --help".
  • Lead help with examples (common first). Provide a docs/support path in top-level help.

Deliverable:

  • Draft help text for top-level and relevant subcommands.

Step 5: Define errors and safety

  • Errors must be actionable: what failed, why, and how to fix it.
  • Do not hide important failures behind generic codes or stack traces unless --debug is enabled.
  • For state changes, give explicit feedback about what happened (or what would happen in --dry-run).

Deliverable:

  • Error-message patterns + safety/confirmation design.

Step 6: Specify interactivity and TTY rules

  • Only prompt when stdin is a TTY.
  • If piped input is supported, read it. If not, fail quickly with guidance.
  • Provide clear quiet and verbose modes if logs exist.

Deliverable:

  • TTY behavior table (TTY vs non-TTY).

Step 7: Add config and env vars (only if needed)

Use explicit precedence to avoid hidden config behavior:

  1. Flags
  2. Environment variables
  3. Project-level config
  4. User-level config (XDG, e.g. ~/.config/<tool>/config)
  5. System-wide config

Deliverable:

  • Config keys + precedence + storage locations.

Procedure: Review an existing CLI

Produce two outputs.

A) Scorecard (0-2 each)

  • Command structure and naming
  • Args/flags clarity
  • Help discoverability (examples first)
  • stdout/stderr correctness
  • Exit-code discipline
  • Scriptability (non-TTY behavior)
  • Machine-output mode (when appropriate)
  • Safety (--dry-run, confirmations)
  • Secrets handling
  • Signal handling (Ctrl-C)
  • Config precedence (if applicable)
  • Future-proofing (avoid time bombs)

B) Prioritized fixes

  • P0: correctness, safety, and scriptability failures
  • P1: usability and discoverability issues
  • P2: polish and consistency

Templates

Help skeleton

NAME -

USAGE [options]

EXAMPLES...... --json | jq.

OPTIONS -h, --help Show help --json Output machine-readable JSON (if supported) --no-color Disable color --no-input Disable prompts -q, --quiet Reduce non-essential output (if supported) -v, --verbose Increase logging (if supported) -n, --dry-run Describe changes without applying them (if supported)

SUPPORT <docs / issues link>

Error skeleton

Error:. Cause:. Fix: <exact next step / command / flag>.

References

  • Full guideline text: references/CLI_GUIDELINES.md

Update Check

On first use in a session, silently check for a newer version:

  1. Fetch https://raw.githubusercontent.com/abpai/skills/main/versions.json.
  2. Compare the version for cli-design-expert against this file's metadata.version.
  3. If the remote version is newer, pause before the main task and ask: cli-design-expert update available (local {X.Y} → remote {A.B}). Would you like me to update it for you first? I can run npx skills update cli-design-expert for you.
  4. If the user says yes, run the update before continuing.
  5. If the user says no, continue with the current local version.
  6. If the fetch fails or web access is unavailable, skip silently.

平台分布

Codex

34.27%
按下载量换算51

Claude

31.06%
按下载量换算46

Cursor

16.72%
按下载量换算25

Gemini CLI

9.82%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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