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Agent Skill · 研究检索

agentmd-creator(Agent 创建者)

agentmd-creator 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。

agentmd-creator 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 54,843。

总安装 494周安装 20GitHub Stars 12下载 155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:agentmd-creator(Agent 创建者)
来源仓库:https://github.com/przemocny/generic-skills
仓库路径:skills/agentmd-creator
安装命令:
npx skills add https://github.com/przemocny/generic-skills --skill agentmd-creator
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/przemocny/generic-skills --skill agentmd-creator

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。

agentmd-creator 用于创建通用或业务领域 AI 代理的配置文件,通过引导式简报流程完成。适用于需要快速生成结构化代理配置的场景,支持分步问答和最佳实践集成。安装后可通过交互式提问生成配置文件,适合在 Codex、Claude 等宿主环境中使用。需确认权限范围和维护状态,可能涉及文件读写和网络访问。

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/agentmd-creator

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/przemocny/generic-skills --skill agentmd-creat…;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

agentmd-creator 怎么安装?

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

agentmd-creator 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。

agentmd-creator 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。

agentmd-creator 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。

agentmd-creator 用的人多吗?

公开数据是累计安装 494 次,近一周安装 20 次,下载 155 次,GitHub 12 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。

agentmd-creator 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。
  • 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
agentmd-creator

Agent 创建者 · 本页

49412只读未明确通过

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

AgentMD Creator

Create AI agent configuration files through guided briefing process for general-purpose and business-domain agents.

Workflow

6-step process: Brief → Load References → Generate → Customize → Apply Best Practices → Present

Step 1: Briefing Questions

Ask user these questions ONE AT A TIME (not all at once). Adapt based on answers.

1. Agent Purpose (REQUIRED)

"Jaki jest główny cel tego agenta? Co ma robić?"

Examples: Research assistant, Sales support, Customer service, Content creator, HR coordinator

If unclear: Provide examples and ask for specific scenarios If too broad: Help narrow down to primary function

2. Domain/Industry (can infer from purpose)

"W jakiej dziedzinie lub branży będzie pracował?"

Examples: General purpose, Sales/CRM, Marketing, Finance, HR, Legal, Healthcare, Real Estate

If general purpose: Can skip domain-specific questions If unclear: Suggest domain based on purpose

3. IDE/Platform (REQUIRED)

"Jakiego narzędzia używasz lub planujesz używać?"

Options:

  • Claude Code → Generate CLAUDE.md
  • Cursor → Generate .cursor/rules/*.mdc
  • Windsurf → Generate .windsurf/rules/*.md
  • Antigravity → Generate .antigravity/rules.md
  • JetBrains Junie → Generate .junie/guidelines.md
  • GitHub Copilot → Generate .github/copilot-instructions.md
  • Multiple/Universal → Generate AGENTS.md

If "don't know": Recommend AGENTS.md (universal format) If multiple: Generate AGENTS.md as base, offer platform-specific additions

4. Specificity Level (default: Moderate if unsure)

"Jak szczegółowy ma być agent?"

Options:

  • General (50-100 lines): Basic role, boundaries, key references
  • Moderate (100-200 lines): Detailed processes, tools, communication style
  • Detailed (200-300 lines): Comprehensive workflows, templates, edge cases

If unsure: Default to Moderate (good balance) Guidance: "Start with Moderate, can always expand later"

5. Special Requirements (OPTIONAL)

"Czy są jakieś specjalne wymagania? (compliance, security, specific tools, workflows)"

If none: Proceed with defaults from domain If many: Prioritize top 2-3 most critical

Step 2: Load Appropriate References

Based on user's answers, read relevant reference files:

Always read:

  • references/best-practices.md - Universal best practices
  • references/platforms.md - Platform-specific guidance for chosen IDE

Read based on domain:

  • references/use-cases.md - Load section matching user's domain/purpose

Step 3: Generate Configuration File

Create configuration file following this structure:

For AGENTS.md / CLAUDE.md (Universal Format)
# [Project/Agent Name]

[One-line description of agent's purpose]

## Role
[Specific role definition with domain expertise]

## Tools and Systems
[List of tools, platforms, credentials locations]

## Knowledge Base
[Locations of documentation, templates, policies]

## Communication Style
[Tone, format, timing preferences]

## Workflows
[Key processes this agent handles]

## Important Notes
[Domain-specific gotchas, warnings, critical information]

## Boundaries

### Always Do
[Non-negotiable actions and practices]

### Ask First
[Actions requiring human approval or verification]

### Never Do
[Forbidden actions, compliance requirements, safety measures]
For Cursor (.mdc format)

Create modular files in .cursor/rules/:

---
name: "core-agent-role"
description: "Core agent behaviors and boundaries"
alwaysApply: true
---

# [Agent Role]

[Instructions]

Split into multiple files:

  • 001-core-role.mdc - Role and boundaries
  • 100-workflows.mdc - Process workflows
  • 200-domain-knowledge.mdc - Domain-specific knowledge
For Windsurf
# [Agent Name] Rules

## Role
[Definition]

## Workflows
[Processes]

## Boundaries
[Always/Ask/Never structure]

Keep under 6000 characters per file.

For Platform-Specific

Follow platform guidelines from references/platforms.md

Step 4: Customize Based on Specificity and Domain

Adapt generated configuration to match both specificity level and domain requirements.

A. Apply Specificity Level:

General (50-100 lines):

  • Role definition
  • Key boundaries (Always/Never only)
  • Critical tools/systems
  • 2-3 most important workflows

Moderate (100-200 lines):

  • Detailed role with context
  • Full boundaries (Always/Ask/Never)
  • All relevant tools and systems
  • Communication style
  • Main workflows with steps
  • Important notes

Detailed (200-300 lines):

  • Comprehensive role with examples
  • Detailed boundaries with reasoning
  • Complete tool ecosystem
  • Communication style with templates
  • All workflows with decision trees
  • Knowledge base organization
  • Edge cases and exceptions
  • Compliance requirements

B. Add Domain-Specific Elements:

Based on chosen domain, enhance with specific requirements. Common domains:

  • Sales/CRM: Lead qualification, CRM fields, follow-up sequences
  • Customer Support: SLA targets, escalation paths, response templates
  • HR: Confidentiality, compliance standards, approval workflows
  • Finance: Data accuracy, approval thresholds, audit trails
  • Marketing: Brand guidelines, content calendar, campaign tracking
  • Legal: Document confidentiality, compliance checklists, attorney escalation

Reference: See references/use-cases.md for detailed patterns and complete guidance for each domain.

Step 5: Apply Best Practices

Review generated configuration against quality criteria from references/best-practices.md.

Quality Review Checklist:

  1. Length Check:

- General: 50-100 lines? ✓ - Moderate: 100-200 lines? ✓ - Detailed: 200-300 lines? ✓

  1. Boundaries Complete:

- "Always Do" section present? ✓ - "Ask First" section present? ✓ - "Never Do" section present? ✓ - At least 3 items in each? ✓

  1. Tools Specific:

- Platform names included? (e.g., "Salesforce" not "CRM") - Credential locations specified? (e.g., "1Password: Sales CRM") - File paths provided? (e.g., /templates/sales-emails/)

  1. Content Quality:

- No generic advice? ("be professional" → specify what professional means) - Examples concrete? (specific scenarios, not abstract descriptions) - References used? (links to docs, not copied content)

  1. Domain Appropriateness:

- Domain-specific elements included? - Communication style matches domain? - Compliance requirements covered (if applicable)?

If any check fails: Revise configuration before presenting to user.

Reference: See references/best-practices.md for detailed criteria and examples.

Step 6: Present and Iterate

  1. Show generated configuration to user
  2. Explain key sections and their purpose
  3. Ask: "Czy chcesz jakieś zmiany lub doprecyzowania?"
  4. Iterate based on feedback
  5. Save to appropriate file location

Output Format

File Location:

  • AGENTS.md → Root of project
  • CLAUDE.md → Root or .claude/
  • .cursor/rules/*.mdc → .cursor/rules/ directory
  • .windsurf/rules/*.md → .windsurf/rules/ directory
  • .antigravity/rules.md → .antigravity/ directory
  • .junie/guidelines.md → .junie/ directory
  • .github/copilot-instructions.md → .github/ directory

Content:

  • Well-structured markdown
  • Clear section headings
  • Specific, actionable guidance
  • Domain-appropriate examples
  • Complete boundaries section

Examples of Good Agent Configurations

See references/examples.md for complete, detailed examples including:

Available examples:

  • Research Assistant (General, ~80 lines) - Systematic research with source credibility
  • Sales Assistant (Moderate, ~150 lines) - CRM coordination with MEDDIC methodology
  • Customer Support (Moderate, ~130 lines) - Ticket handling with escalation paths
  • HR Coordinator (Detailed, ~200 lines) - Recruiting, onboarding, compliance

Quick preview - Research Assistant structure:

# Research Assistant
[Role definition]
## Tools and Systems
[Specific tools with locations]
## Boundaries
### Always Do / Ask First / Never Do
[3-tier boundary structure]

Use these examples to:

  • Match specificity level to user's choice
  • Adapt structure to chosen domain
  • Scale boundaries appropriately
  • Format tools section correctly

See full examples in references/examples.md

Tips for Success

  1. Start simple, iterate: Begin with general config, add detail based on real usage
  2. User-specific language: If user speaks Polish, use Polish in generated config
  3. Domain expertise: Leverage user's domain knowledge during briefing
  4. Real examples: Ask for actual scenarios to make config concrete
  5. Test and refine: Encourage user to test agent and report issues

Common Mistakes to Avoid

  • Too generic: "Be helpful and professional" → Specify what professional means in this context
  • Too long: 500+ lines → Split into modules or remove redundancy
  • Missing boundaries: No clear Never section → Always include safety boundaries
  • Vague tools: "Use CRM" → "Use Salesforce, credentials in 1Password"
  • No examples: Abstract descriptions → Include concrete examples
  • One-size-fits-all: Same config for all domains → Customize per domain

Validation

Before finalizing, verify:

  • Role clearly defined
  • Tools/systems specified with access info
  • Boundaries include all three tiers (Always/Ask/Never)
  • Domain-specific guidance included
  • Appropriate length for specificity level
  • User confirms it matches their needs

平台分布

Codex

36.46%
按下载量换算57

Claude

29.53%
按下载量换算46

Cursor

17.95%
按下载量换算28

Gemini CLI

8.83%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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