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Trollz1004
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agent-development

Design Claude Code agents with declarative frontmatter and governed tool access.

Updated Aug 23, 2026
Search Tags:#delegation#agent#pipelines#claude-code#prompt-design#memory-management
One-click install
npx skills add https://github.com/Trollz1004/Sandbox-REPO-NEW-CODE-NOTHING-NEW-GOES-ON-ANTIGRAVITY --skill agent-development-trollz1004
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-development
Source: https://github.com/Trollz1004/Sandbox-REPO-NEW-CODE-NOTHING-NEW-GOES-ON-ANTIGRAVITY/tree/main/hermes/skills/agent-development
Command: npx skills add https://github.com/Trollz1004/Sandbox-REPO-NEW-CODE-NOTHING-NEW-GOES-ON-ANTIGRAVITY --skill agent-development-trollz1004

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Designing robust Claude Code agents requires clear delegation rules, memory-safe prompts, and predictable tool access to automate complex tasks.

Core Features & Use Cases

  • Declarative agent frontmatter: defines role, triggers, and tools for automatic delegation.
  • Memory and tool governance: guidance on memory limits, parallelism, and safe Bash access.
  • Pipeline design: patterns for linking agents across workflows and ensuring determinism.

Quick Start

Create a new agent by providing a frontmatter block with name, description, tools, and model, then implement the processing steps in the body to enable autonomous task handling.

Frequently Asked Questions about agent-development

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design Claude Code agents with clear delegation and tool access?▼

Designing Claude Code agents requires a declarative frontmatter block defining name, description, tools, and model, followed by implementing processing steps in the body to enable autonomous task handling with predictable tool access.

What is declarative prompt design for Claude Code agents?▼

Declarative prompt design uses frontmatter to automatically define an agent's role, triggers, and tool access, ensuring self-documenting prompts that enforce safe, auditable, and governance-ready configurations for Claude Code.

How do I manage memory limits and safe Bash access in Claude Code pipelines?▼

Manage memory limits and safe Bash access by applying memory and tool governance patterns, which provide guidance on parallelism limits and safe tool usage to ensure deterministic agent behavior across pipeline workflows.

Can I link multiple Claude Code agents across automated pipelines?▼

Yes, you can link multiple Claude Code agents by applying pipeline design patterns that connect agents across workflows, ensuring determinism and predictable delegation rules throughout the automated execution process.

What are the limitations of using frontmatter for Claude Code agent configuration?▼

Frontmatter-based agent configuration requires strict adherence to naming, structured prompts, and governance-ready configurations, meaning agents must have clearly defined memory limits and tool access to avoid unpredictable autonomous behavior.

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