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sub-agent-creator子 Agent 创建者

Agent Skill

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

总安装

282

周安装

12

GitHub Stars

6

下载量

99
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:sub-agent-creator(子 Agent 创建者)
来源仓库:https://github.com/ghosttypes/ff-5mp-api-ts
仓库路径:skills/sub-agent-creator
安装命令:
npx skills add https://github.com/ghosttypes/ff-5mp-api-ts --skill sub-agent-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/ghosttypes/ff-5mp-api-ts --skill sub-agent-creator

简介

子 Agent 创建者技能辅助 API 设计和接口文档生成,支持字段命名检查。

  • 适用于服务集成说明和联调支持等前后端协作场景。
  • 通过 GitHub 仓库安装,使用 npx skills add 命令启用技能模块。
  • 使用时需确认真实业务语义,避免生成与实际不符的接口定义。
  • sub-agent-creator 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Sub-Agent Creator

Interactive skill for creating Claude Code subagents. Guides the complete process: gathering requirements, designing the agent's purpose and persona, selecting helpful skills and documentation, and writing a properly formatted agent file to .claude/agents/.

Critical Formatting Rules

Subagents MUST follow strict formatting or they will fail validation and not load:

RuleRequirementConsequence
Single-line descriptiondescription must be one line, no \nValidation failure
No literal \nUse actual newlines in body, not \n escapesValidation failure
Valid colors onlyIf specified: red, blue, green, yellow, purple, orange, pink, cyanAgent won't load
Valid models onlysonnet, opus, haiku, or inheritValidation failure
Name formatLowercase letters, numbers, hyphens onlyValidation failure

Examples of WRONG vs RIGHT

# WRONG - Multi-line YAML syntax
description: |
  Expert code reviewer.
  Use after code changes.

# WRONG - Actual newlines in value
description: Expert code reviewer.
  Use after code changes.

# RIGHT - ONE continuous line
description: Expert code reviewer. Use proactively after code changes.
# WRONG - Literal \n in body
---
name: test-runner
description: Run tests
---

You are a test runner.\nWhen invoked:\n1. Run tests\n2. Report results

# RIGHT - Actual newlines
---
name: test-runner
description: Run tests
---

You are a test runner.
When invoked:
1. Run tests
2. Report results

Workflow

1. Understand Requirements

When this skill triggers, the user has described what kind of agent they want. First, extract:

  • Core purpose: What should this agent do?
  • Trigger conditions: When should Claude delegate to this agent?
  • Key capabilities: What specific tasks will it handle?
  • Existing context: Any relevant skills, docs, or project patterns?

2. Use AskUserQuestion for Details

Ask clarifying questions using the AskUserQuestion tool. Confirm:

  • Identifier: What should the agent be named? (lowercase-with-hyphens)
  • Proactive usage: Should this agent be used proactively or only on explicit request?
  • Model: Default to inherit. Only suggest haiku for simple, fast tasks. ALWAYS confirm before using non-inherit models.
  • Color: Auto-select from valid options (red, blue, green, yellow, purple, orange, pink, cyan) OR let user choose.

3. Identify Helpful Context

Search the workspace for:

Relevant skills: Check .claude/skills/ and project skills that would help the agent.

ls .claude/skills/

Relevant documentation: Look for references files, CLAUDE.md, API docs, etc.

find . -name "*.md" -type f | head -20

4. Design the System Prompt

Using the agent creation architect framework (see references/agent-creation-prompt.md):

  1. Extract Core Intent - Fundamental purpose and success criteria
  2. Design Expert Persona - Compelling identity with domain knowledge
  3. Architect Instructions - Behavioral boundaries, methodologies, edge cases
  4. Optimize for Performance - Decision frameworks, quality control
  5. Create whenToUse Examples - Concrete examples showing delegation

The system prompt should be in second person ("You are...", "You will...").

5. Write the Agent File

Write the agent file to .claude/agents/<identifier>.md:

---
name: <identifier>
description: <single-line description with when to use>
model: inherit
---

<system prompt in markdown body>

Default settings:

  • model: Always inherit unless user confirms otherwise
  • tools: Omit to allow all tools (user preference: never restrict)
  • skills: Include if specific skills would help the agent

6. Validate Before Completing

Run the validation script:

python .claude/skills/sub-agent-creator/scripts/validate_agent.py .claude/agents/<identifier>.md

Only proceed if validation passes. Fix any errors and re-validate.

Agent File Template

---
name: agent-identifier
description: Brief single-line description starting with what it does. Use proactively when [trigger condition].
model: inherit
skills:
  - relevant-skill-1
  - relevant-skill-2
---

You are an expert [domain] specialist.

When invoked:
1. [First step]
2. [Second step]
3. [Continue as needed]

Your approach:
- [Guideline 1]
- [Guideline 2]

For each [task], provide:
- [Output format 1]
- [Output format 2]

Focus on [core principle].

Description Best Practices

The description field is Claude's primary signal for when to delegate. Include:

  • What the agent does: "Expert code reviewer specializing in..."
  • When to use: "Use proactively after writing code" or "Use when analyzing..."
  • Triggers: Specific situations that should trigger delegation

Examples:

description: Test execution specialist. Use proactively after writing tests or modifying test files.
description: Database query analyst. Use when needing to analyze data or generate reports from BigQuery.
description: Code archaeology expert. Use when exploring legacy codebases or understanding unfamiliar code.

Resources

  • scripts/validate_agent.py - Validates agent files for formatting errors
  • references/sub-agents-docs.md - Complete Claude Code subagents documentation
  • references/agent-creation-prompt.md - Agent creation architect system prompt framework

After creating an agent, verify it appears in /agents command output.

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

35.21%
按下载量换算35

Claude

30.79%
按下载量换算30

Cursor

20.26%
按下载量换算20

Gemini CLI

8.97%
按下载量换算9

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。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

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