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Agent Skill · 研究检索

getting-started-with-skills(技能入门)

getting-started-with-skills 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

getting-started-with-skills 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,权限为只读;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 9,828。

总安装 13,546周安装 446GitHub Stars 40下载 3,616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:getting-started-with-skills(技能入门)
来源仓库:https://github.com/obra/clank
仓库路径:skills/getting-started-with-skills
安装命令:
npx skills add https://github.com/obra/clank --skill 'Getting Started with Skills'
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/obra/clank --skill 'Getting Started with Skills'

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。

开始对话?你刚刚读过这篇文章。好的。开始任何任务吗?首先运行技能搜索,宣布用法,然后关注您发现的内容。技能有清单吗?TodoWrite 为每个项目。技能存在时是强制性的,而不是可选的。

最后一件事 在阅读本指南后的第一个回复中,您必须向用户宣布您已阅读入门指南 每周安装量 – 存储库 奥布拉/叮当 GitHub 之星 40 第一次看到 – 安全审计 Gen Agent Trust Hub 警告 套接字通行证 斯尼克通行证

来源仓库内路径:skills/getting-started-with-skills

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/obra/clank --skill 'Getting Started with Skill…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

getting-started-with-skills 怎么安装?

在终端执行 npx skills add https://github.com/obra/clank --skill 'Getting Started with Skills'。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

getting-started-with-skills 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。

getting-started-with-skills 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

getting-started-with-skills 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。

getting-started-with-skills 用的人多吗?

公开数据是累计安装 13,546 次,近一周安装 446 次,下载 3,616 次,GitHub 40 星。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。

getting-started-with-skills 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 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
getting-started-with-skills

技能入门 · 本页

13,54640只读未明确有提醒

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

Getting Started with Skills

Your personal wiki of proven techniques, patterns, and tools at ~/.claude/skills/.

How to Reference Skills

DO NOT use @ links - they force-load entire files, burning 200k+ context instantly.

INSTEAD, use skill path references:

  • Format: skills/category/skill-name (no @ prefix, no /SKILL.md suffix)
  • Example: skills/collaboration/brainstorming or skills/testing/test-driven-development
  • Load with Read tool only when needed

When you see skill references in documentation:

  • skills/path/name → Use Read tool on ~/.claude/skills/path/name/SKILL.md
  • Load supporting files only when implementing

Mandatory Workflow 1: Before ANY Task

1. Search skills:

~/.claude/skills/getting-started/skills-search PATTERN

2. Search conversations: Dispatch subagent (see Workflow 2) to check for relevant past work.

If skills found:

  1. READ the skill: ~/.claude/skills/path/skill-name/SKILL.md
  2. ANNOUNCE usage: "I'm using the [Skill Name] skill"
  3. FOLLOW the skill (many are rigid requirements)

"This doesn't count as a task" is rationalization. Skills/conversations exist and you didn't search for them or didn't use them = failed task.

Mandatory Workflow 2: Historical Context Search

When: Your human partner mentions past work, issue feels familiar, starting task in familiar domain, stuck/blocked, before reinventing

When NOT: Info in current convo, codebase state questions, first encounter, partner wants fresh thinking

How (use subagent for 50-100x context savings):

  1. Dispatch subagent with template: ~/.claude/skills/collaboration/remembering-conversations/tool/prompts/search-agent.md
  2. Receive synthesis (200-1000 words) + source pointers
  3. Apply insights (never load raw.jsonl files)

Example:

Partner: "How did we handle auth errors in React Router?"
You: Searching past conversations...
[Dispatch subagent → 350-word synthesis]
[Apply without loading 50k tokens]

Red flags: Reading.jsonl files directly, pasting excerpts, asking "which conversation?", browsing archives

Pattern: Search → Subagent synthesizes → Apply. Fast, focused, context-efficient.

Announcing Skill Usage

Every time you start using a skill, announce it:

"I'm using the [Skill Name] skill to [what you're doing]."

Examples:

  • "I'm using the Brainstorming skill to refine your idea into a design."
  • "I'm using the Test-Driven Development skill to implement this feature."
  • "I'm using the Systematic Debugging skill to find the root cause."
  • "I'm using the Refactoring Safely skill to extract these methods."

Why: Transparency helps your human partner understand your process and catch errors early.

Skills with Checklists

If a skill contains a checklist, you MUST create TodoWrite todos for EACH checklist item.

Don't:

  • Work through checklist mentally
  • Skip creating todos "to save time"
  • Batch multiple items into one todo
  • Mark complete without doing them

Why: Checklists without TodoWrite tracking = steps get skipped. Every time.

Examples: TDD (write test, watch fail, implement, verify), Systematic Debugging (4 phases), Creating Skills (RED-GREEN-REFACTOR)

Navigation

Really, try skills-search first.

Categories: skills/INDEX.md → testing, debugging, coding, architecture, collaboration, meta Individual skill: Load from category INDEX

How to Read a Skill

  1. Frontmatter - when_to_use match your situation?
  2. Overview - Core principle relevant?
  3. Quick Reference - Scan for your pattern
  4. Implementation - Full details
  5. Supporting files - Load only when implementing

Many skills contain rigid rules (TDD, debugging, verification). Follow them exactly. Don't adapt away the discipline.

Some skills are flexible patterns (architecture, naming). Adapt core principles to your context.

The skill itself tells you which type it is.

Referencing Skills in Documentation

When writing documentation that references other skills:

Use path format without @ prefix or /SKILL.md suffix:

  • ✅ Good: skills/testing/test-driven-development
  • ✅ Good: skills/debugging/systematic-debugging
  • ❌ Bad: @skills/testing/test-driven-development/SKILL.md (force-loads, burns context)

Why no @ links: @ syntax force-loads files immediately, consuming 200k+ context before you need them.

To read a skill reference: Use Read tool on ~/.claude/skills/category/skill-name/SKILL.md

Creating Skills

Found something valuable? See skills/meta/creating-skills

Want a skill that doesn't exist? Edit skills/REQUESTS.md (at ~/.claude/skills/REQUESTS.md)

Summary

Starting conversation? You just read this. Good.

Starting any task? Run skills-search first, announce usage, follow what you find.

Skill has checklist? TodoWrite for every item.

Skills are mandatory when they exist, not optional.

Last thing

In the first response after reading this guide, you MUST announce to the user that you have read the getting started guide

平台分布

Codex

36.09%
按下载量换算1,305

Claude

28.27%
按下载量换算1,022

Cursor

18.76%
按下载量换算678

Gemini CLI

8.54%
按下载量换算309

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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