Token导航 LogoToken导航TokenDH.com
研究检索external-servicegithub未标认证来源可访问clear审计通过

skills-dev技能开发

Agent Skill

skills-dev 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

318

周安装

13

GitHub Stars

26

下载量

103
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:skills-dev(技能开发)
来源仓库:https://github.com/outfitter-dev/agents
仓库路径:skills/skills-dev
安装命令:
npx skills add https://github.com/outfitter-dev/agents --skill skills-dev
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/outfitter-dev/agents --skill skills-dev

简介

用于查找、检索和筛选相关信息。

  • 适合在技能开发或集成场景中使用。
  • 可通过来源仓库和 README 核验具体用法。
  • 安装命令:npx skills add https://github.com/outfitter-dev/agents --skill skills-dev。
  • 建议确认权限范围及是否会触发联网或文件读写。

SKILL.md

Skills Development

Create skills that follow the Agent Skills specification—an open format supported by Claude Code, Cursor, VS Code, GitHub Copilot, Codex, and other agent products.

Workflow

  1. Discovery — Understand what the skill should do
  2. Archetype Selection — Choose the best pattern
  3. Initialization — Create skill structure
  4. Customization — Tailor to specific needs
  5. Validation — Verify quality before committing

Stage 1: Discovery

Ask about the skill:

  • What problem does this skill solve?
  • What are the main capabilities?
  • What triggers should invoke it? (phrases users would say)
  • Where should it live? (personal, project, or plugin)

Stage 2: Archetype Selection

ArchetypeUse WhenExample
simpleBasic skill without scriptsQuick reference, style guide
api-wrapperWrapping external APIsGitHub API, Stripe API
document-processorWorking with file formatsPDF extractor, Excel analyzer
dev-workflowAutomating development tasksGit workflow, project scaffolder
research-synthesizerGathering and synthesizing informationCompetitive analysis, literature review

Stage 3: Directory Structure

skill-name/
├── SKILL.md           # Required: instructions + metadata
├── scripts/           # Optional: executable code
├── references/        # Optional: documentation
└── assets/            # Optional: templates, resources

Stage 4: Frontmatter Schema

---
name: skill-name
description: What it does and when to use it. Include trigger keywords.
version: 1.0.0                         # optional, recommended
license: Apache-2.0                    # optional
compatibility: Requires git and jq     # optional
metadata:                              # optional
  author: your-org
  category: development
  tags: [testing, automation]
---
FieldRequiredConstraints
nameYes2-64 chars, lowercase/numbers/hyphens, must match directory
descriptionYes10-1024 chars, describes what + when
versionNoSemantic version (MAJOR.MINOR.PATCH)
licenseNoLicense name or reference
compatibilityNo1-500 chars, environment requirements
metadataNoObject for custom fields

Note: Platform-specific fields (e.g., Claude's allowed-tools, user-invocable) should be added per-platform. See claude-code.md for Claude Code extensions.

Custom Frontmatter

Custom fields must be nested under metadata:

---
name: my-skill
description: ...
metadata:
  author: your-org
  version: "1.0"
  category: development
  tags: [typescript, testing]
---

Top-level custom fields are not allowed and may cause parsing errors.

Description Formula

[WHAT] + [WHEN] + [TRIGGERS]

description: Extracts text and tables from PDF files, fills forms, merges documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.

Checklist:

  • Explains WHAT (capabilities)
  • States WHEN (trigger conditions)
  • Includes 3-5 trigger KEYWORDS
  • Uses third-person voice
  • Under 200 words

Stage 5: Validation

Validation Checklist

A. YAML Frontmatter

  • Opens with --- on line 1, closes with ---
  • name and description present (required)
  • Uses spaces, not tabs
  • Special characters quoted

B. Naming

  • Lowercase, numbers, hyphens only (1-64 chars)
  • Matches parent directory name
  • No --, leading/trailing hyphens
  • No anthropic or claude in name

C. Description Quality

  • WHAT: Explains capabilities
  • WHEN: States "Use when..." conditions
  • TRIGGERS: 3-5 keywords users would say
  • Third-person voice (not "I can" or "you can")

D. Structure

  • SKILL.md under 500 lines
  • All referenced files exist
  • No TODO/placeholder markers
  • Progressive disclosure (details in references/)

Report Format

# Skill Check: {skill-name}

**Status**: PASS | WARNINGS | FAIL
**Issues**: {critical} critical, {warnings} warnings

## Critical (must fix)
1. {issue with fix}

## Warnings (should fix)
1. {issue with fix}

## Strengths
- {what's done well}

Core Principles

Concise is key

Context window is shared. Only include what the agent doesn't already know. Challenge each paragraph—does it justify its token cost?

Third-person descriptions

Descriptions inject into system prompt:

  • "Extracts text from PDFs"
  • "I can help you extract text from PDFs"

Progressive disclosure

Keep SKILL.md under 500 lines. Move details to:

  • references/ - Detailed docs, API references
  • scripts/ - Executable utilities (code never enters context)
  • assets/ - Templates, data files

Token loading:

  1. Metadata (~100 tokens): name + description at startup
  2. Instructions (<5000 tokens): SKILL.md body when activated
  3. Resources (as needed): files loaded only when referenced

Degrees of freedom

Match instruction specificity to task requirements:

  • High freedom (text): Multiple valid approaches, use judgment
  • Medium freedom (pseudocode): Preferred pattern with variation allowed
  • Low freedom (scripts): Exact sequence required, no deviation

See patterns.md for detailed examples.

Naming Requirements

  • Lowercase letters, numbers, hyphens only
  • Cannot start/end with hyphen or contain --
  • Must match parent directory name
  • Cannot contain anthropic or claude

Recommended: Gerund form (processing-pdfs, reviewing-code)

Platform-Specific Guidance

Skills are cross-platform, but each tool has specific implementation details:

  • Claude Code: See claude-code.md for tool restrictions, testing, troubleshooting, and Claude-specific frontmatter extensions
  • Codex CLI: See codex.md for discovery paths, $skill-name invocation

See implementations.md for storage paths and invocations.md for activation patterns.

References

External Resources

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

github-copilot

29.12%
按下载量换算30

kilo

22.26%
按下载量换算23

windsurf

17.39%
按下载量换算18

zencoder

12.6%
按下载量换算13

amp

8.15%
按下载量换算8

cline

3.67%
按下载量换算4

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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

继续浏览同类 Skills