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getting-started-with-skills技能入门

Agent Skill

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。

总安装

13,546

周安装

446

GitHub Stars

40

下载量

3,616
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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'

简介

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

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills