Token导航 LogoToken导航

Agent Skill · 研究检索

agents-skills(Agent 技巧)

agents-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。

agents-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,权限为操作浏览器;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 38,803。

总安装 1,508周安装 61GitHub Stars 60下载 473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:agents-skills(Agent 技巧)
来源仓库:https://github.com/vasilyu1983/ai-agents-public
仓库路径:skills/agents-skills
安装命令:
npx skills add https://github.com/vasilyu1983/ai-agents-public --skill agents-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/vasilyu1983/ai-agents-public --skill agents-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。

agents-skills 提供创建和组织代理技能的元参考,定义标准组件和结构。明确 SKILL.md、scripts、references 等模块的作用和加载机制。适用于开发自定义技能时的架构设计和技术规范查阅。包含系统命令执行提示,需人工复核后方可在生产环境启用。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/agents-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/vasilyu1983/ai-agents-public --skill agents-sk…;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

    它需要操作浏览器,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

agents-skills 怎么安装?

在终端执行 npx skills add https://github.com/vasilyu1983/ai-agents-public --skill agents-skills。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

agents-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。

agents-skills 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

agents-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。

agents-skills 用的人多吗?

公开数据是累计安装 1,508 次,近一周安装 61 次,下载 473 次,GitHub 60 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。

agents-skills 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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

  • 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
agents-skills

Agent 技巧 · 本页

1,50860操作浏览器未明确通过

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

Agent Skills - Meta Reference

This skill provides the definitive reference for creating, organizing, and maintaining agent skills. Use this when building new skills or improving existing skill architecture.

Quick Reference

ComponentPurposeRequired
SKILL.mdMain reference file with frontmatterYes
scripts/Executable code (prefer running)Optional
references/Documentation (loaded on-demand)Recommended
assets/Output files (templates, icons)Optional
data/sources.jsonCurated external linksRecommended

Cross-Platform: Agent Skills are designed to be portable across runtimes (Claude Code, Codex CLI, Gemini CLI, VS Code Copilot).

Skill Structure

skills/
	└── skill-name/
	    ├── SKILL.md           # Main reference (required)
	    ├── scripts/           # Executable code (Python/Bash) - prefer running; read only to patch/review
	    │   └── validate.py
	    ├── references/        # Documentation loaded into context on-demand
	    │   ├── patterns.md
	    │   └── examples.md
    ├── assets/            # Files for OUTPUT (templates, icons, fonts)
    │   └── template.html
    └── data/
        └── sources.json   # External references

Directory purposes:

  • scripts/ - Executable code; prefer running scripts and consuming output (read only when you need to modify/review)
  • references/ - Documentation loaded into context when the agent needs it
  • assets/ - Files used in generated output (not loaded into context)

Notes:

  • Prefer executing scripts instead of pasting large code into context; read scripts only when you need to modify or review them.

SKILL.md Template

---
name: skill-name
description: One-line description of what this skill provides and when to use it (include trigger keywords here)
---

# Skill Name - Quick Reference

Brief overview of the skill's purpose and value.

## Quick Reference

| Task | Tool/Method | When to Use |
|------|-------------|-------------|
| Task 1 | Tool A | Context for usage |

## Scope (Optional)

Keep this brief; the primary trigger mechanism is the frontmatter `description`.

## Core Concepts

### Concept 1

Explanation with code example:

\`\`\`language
code example
\`\`\`

### Concept 2

Additional patterns...

## Navigation

**Resources**
- [references/skill-patterns.md](references/skill-patterns.md) - Common patterns
- [references/skill-validation.md](references/skill-validation.md) - Validation criteria

**Related Skills**
- [../agents-subagents/SKILL.md](../agents-subagents/SKILL.md) - Agent creation

Progressive Disclosure

Skills use progressive disclosure to optimize token usage:

LayerContentToken Cost
DiscoveryName + description only~50 tokens
ActivationFull SKILL.md body2K-5K tokens
Executionscripts/, references/, assets/On-demand

Pattern: SKILL.md provides overview -> Resources load only when needed

Limits: Keep SKILL.md under 500 lines (<5K tokens)

When to Split Content

Keep in SKILL.mdMove to references/
Decision treesFull API references
Quick commandsStep-by-step tutorials
Common patternsEdge case handling
1-2 code examplesComplete implementations

Frontmatter Specification

FieldTypeRequiredPurpose
namestringYesKebab-case, must match folder name
descriptionstringYesPrimary trigger — runtime reads this to decide invocation
argument-hintstringNoAutocomplete hint shown in / menu (e.g. [issue-number])
disable-model-invocationboolNotrue prevents auto-triggering; user must invoke with /
user-invocableboolNofalse hides from / menu; still loads as background context
allowed-toolsstringNoComma-separated tool allowlist (e.g. Read, Grep, Glob)
contextstringNoSet to fork to run skill body in a subagent
agentstringNoSubagent type when context: fork (e.g. Explore, Plan)
modelstringNoModel override (opus, sonnet, haiku)
hooksobjectNoLifecycle hooks scoped to this skill
licensestringNoLicense identifier
compatibilitystringNoPlatform/version notes (1-500 chars)
metadataobjectNoAuthor, version, mcp-server

See references/frontmatter-reference.md for full specification, examples, and string substitutions.

Name rules:

  • Use kebab-case: ai-llm, not AI_LLM_Engineering
  • Match folder name exactly
  • Be specific: software-backend not backend
  • No claude or anthropic in names (reserved words)
  • No XML angle brackets (< >) in any frontmatter value

Description rules (PRIMARY TRIGGER):

  • The runtime uses descriptions to decide which skills to auto-invoke
  • Format: [What it does]. Use when [trigger phrases].
  • Target ~150 chars when library has 50+ skills (budget: 2% of context window, ~16K chars shared across ALL skill descriptions)
  • Include key technologies/concepts as trigger keywords
  • Single-line YAML only — no multiline >-

String substitutions (usable in skill body):

  • $ARGUMENTS / $ARGUMENTS[N] / $N — user-provided arguments from /skill-name arg1 arg2
  • ${CLAUDE_SESSION_ID} — current session identifier
  • ${CLAUDE_SKILL_DIR} — absolute path to this skill's directory

Dynamic context injection: Use `!command ` in the skill body to inject command output at load time.

Skill Categories

CategoryPrefixExamples
AI/MLai-ai-llm, ai-ml-data-science
Softwaresoftware-software-backend, software-frontend
Operationsops-ops-devops-platform
Datadata-data-lake-platform, data-sql-optimization
Qualityqa-qa-debugging, qa-docs-coverage
Developer Toolsdev-dev-api-design, dev-git-commit-message, dev-workflow-planning
Productproduct-product-management, docs-ai-prd
Documentdocument-document-pdf, document-xlsx
Testingtesting-, qa-testing-qa-testing-playwright, qa-testing-strategy
Marketingmarketing-marketing-social-media, marketing-seo
Agents/Toolsagents-agents-subagents, agents-skills, agents-hooks

sources.json Schema

{
  "metadata": {
    "title": "Skill Name - Sources",
    "description": "Brief description",
    "last_updated": "YYYY-MM-DD",
    "skill": "skill-name"
  },
  "category_name": [
    {
      "name": "Resource Name",
      "url": "https://example.com/docs",
      "description": "What this covers",
      "add_as_web_search": true
    }
  ]
}

Categories should group logically:

  • official_documentation
  • tutorials
  • community_resources
  • tools_and_libraries

Quality Checklist

SKILL VALIDATION CHECKLIST

Frontmatter:
[ ] name matches folder name (kebab-case)
[ ] description is concise and actionable

Structure:
[ ] SKILL.md under 500 lines (split into references/ if needed)
[ ] references/ for detailed content
[ ] data/sources.json with curated links

Content:
[ ] Quick reference table at top
[ ] Frontmatter `description` includes trigger keywords
[ ] Code examples are copy-paste ready
[ ] Related skills linked at bottom

Quality:
[ ] >40% operational content (code, tables, checklists)
[ ] <50% prose paragraphs
[ ] All URLs are live (no 404s)
[ ] Sources updated within 6 months

Multi-Tech vs Single-Tech Skills

Single-Tech Skill

software-backend/
├── SKILL.md              # Node.js focus
└── references/
    └── nodejs-patterns.md

Multi-Tech Skill

software-backend/
├── SKILL.md              # Overview + decision tree
├── references/
│   ├── nodejs-patterns.md
│   ├── go-patterns.md
│   ├── rust-patterns.md
│   └── python-patterns.md
└── assets/
    ├── nodejs/
    ├── go/
    ├── rust/
    └── python/

Navigation

Resources

Related Skills

Fact-Checking

  • Use web search/web fetch to verify current external facts, versions, pricing, deadlines, regulations, or platform behavior before final answers.
  • Prefer primary sources; report source links and dates for volatile information.
  • If web access is unavailable, state the limitation and mark guidance as unverified.

平台分布

Codex

33.96%
按下载量换算161

Claude

31.47%
按下载量换算149

Cursor

18.28%
按下载量换算86

Gemini CLI

9.13%
按下载量换算43

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills