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skill-builder技能构建

Agent Skill

skill-builder 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

4,792

周安装

192

GitHub Stars

55

下载量

1,551
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

3

许可证

MIT

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:skill-builder(技能构建)
来源仓库:https://github.com/rysweet/amplihack
仓库路径:skills/skill-builder
安装命令:
npx skills add https://github.com/rysweet/amplihack --skill skill-builder
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/rysweet/amplihack --skill skill-builder

简介

用于查找、检索和筛选相关信息。

  • 适合根据关键词、任务场景或来源线索快速定位候选结果。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态及是否触发联网或文件读写。
  • 安装命令:npx skills add https://github.com/rysweet/amplihack --skill skill-builder

SKILL.md

Skill Builder

Purpose

Creates production-ready Agent Skills following the official specifications and best practices.

When I Activate

I automatically load when you mention:

  • "build a skill" or "create a skill"
  • "generate a skill" or "make a skill"
  • "design a skill" or "new skill"

Authoritative References (Read These First)

Before creating any skill, read the current versions of these docs:

  1. Agent Skills Specification (the open standard): https://agentskills.io/specification
  2. Skill Authoring Best Practices (Anthropic): https://platform.claude.com/docs/en/agents-and-tools/agent-skills/best-practices
  3. Claude Code Skills Documentation (Claude Code extensions): https://docs.claude.com/en/docs/claude-code/skills
  4. Example Skills (reference implementations): https://github.com/anthropics/skills

These are the source of truth. If anything in this skill contradicts those docs, the official docs win.

What I Do

Create skills in 5 steps:

  1. Clarify → Define purpose, scope, activation keywords
  2. Design → Plan structure, decide on progressive disclosure
  3. Generate → Create SKILL.md with proper frontmatter and body
  4. Validate → Check against spec and best practices
  5. Test → Verify activation and behavior

Frontmatter (Agent Skills Spec)

Only two fields are required:

---
name: my-skill
description: What this skill does and when to use it. Include specific keywords for discovery.
---

Optional fields: license, compatibility, metadata, allowed-tools.

Claude Code adds: disable-model-invocation, user-invocable, model, context, agent, hooks, argument-hint.

Do NOT use: version (use metadata.version), auto_activates, priority_score, source_urls, evaluation_criteria, invokes, philosophy, maturity — none of these are recognized by any runtime.

Key Best Practices

From the official best practices:

Conciseness

  • Claude is already smart. Only add context it doesn't have.
  • Challenge every paragraph: "Does this justify its token cost?"
  • SKILL.md body under 500 lines.

Description Quality

  • Write in third person ("Processes Excel files", not "I help you")
  • Include both what the skill does AND when to use it
  • Include specific trigger keywords for discovery
  • Max 1024 characters

Progressive Disclosure

  • Metadata loaded at startup (name + description only)
  • SKILL.md loaded when skill activates
  • Supporting files loaded only when needed
  • Keep references one level deep from SKILL.md

Degrees of Freedom

  • High freedom: Multiple valid approaches, context-dependent
  • Medium freedom: Preferred pattern exists, some variation OK
  • Low freedom: Fragile operations, exact sequence required

No Time-Sensitive Content

  • Never write "as of today", "recently added", "new in v3.0"
  • Use an "old patterns" section for historical context if needed

Feedback Loops

  • Run validator → fix errors → repeat
  • Include verification steps for critical operations

Validation Checklist

Frontmatter: name and description present and valid ✅ Name: Lowercase, hyphens only, 1-64 chars, matches directory name ✅ Description: 1-1024 chars, third person, includes trigger keywords ✅ Body: Under 500 lines ✅ References: One level deep from SKILL.md ✅ No stale content: No temporal references ✅ Consistent terminology: One term per concept throughout ✅ Tested: Works with at least 3 representative prompts

Supporting Files

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

29.06%
按下载量换算451

OpenCode

20.97%
按下载量换算325

Antigravity

17.06%
按下载量换算265

Gemini CLI

10.68%
按下载量换算166

windsurf

7.88%
按下载量换算122

Cursor

2.87%
按下载量换算45

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

来源信息

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