What problem does it solve?
This skill provides a structured blueprint to convert user requests into production-ready Claude Code agent configurations, ensuring consistent frontmatter, system prompts, triggering guidelines, and CLAUDE.md alignment.
<example>
Context: User wants to create a new agent configuration from plain language
user: "I need an agent that handles code review scaffolding"
assistant: "I'll generate the anthropics-agent-identifier configuration to standardize this agent."
<commentary>
Triggering this skill when a user requests a new agent skeleton or a standardized agent frontmatter.
</commentary>
</example>
<example>
Context: User asks for guidance on agent structure for Claude Code plugins
user: "How should I define an agent frontmatter?"
assistant: "I'll generate the proper metadata skeleton with frontmatter and system prompt."
<commentary>
User needs a concrete metadata skeleton; trigger anthropics-agent-identifier to produce it.
</commentary>
</example>
Core Features & Use Cases
- Generate a unique identifier, frontmatter, and a complete agent skeleton from a user description.
- Validate all required fields (name, description, model, color, dependencies, components) against CLAUDE.md guidance.
- Produce a robust system prompt in second person with clear responsibilities and an explicit output format.
- Include 2-4 triggering examples in the description to ensure reliable activation.
<example>
Context: You want a production-ready agent for Code Plugins
user: "Create an agent that reviews pull requests for code quality"
assistant: "I'll use the anthropics-agent-identifier to generate the agent skeleton."
<commentary>
Proactive generation of the agent skeleton to match the requested task.
</commentary>
</example>
<example>
Context: User asks for agent frontmatter and system prompt blueprint
user: "I need a metadata template for a code-generation agent"
assistant: "I'll generate the anthropics-agent-identifier configuration to standardize this agent."
<commentary>
Ensures standardized frontmatter and system prompt structure.
</commentary>
</example>
Quick Start
From a user request, generate a complete agent markdown file with frontmatter, system prompt, examples, and optional resource directories.