Agentic Development Principles
Applies proven software engineering & agile principles to guide agent design, development, and iterative improvement.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add agentic-development-principles npx -- -y @trustedskills/agentic-development-principles
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"agentic-development-principles": {
"command": "npx",
"args": [
"-y",
"@trustedskills/agentic-development-principles"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides foundational knowledge and best practices for developing autonomous AI agents. It covers principles such as goal-oriented behavior, memory systems, decision-making frameworks, and ethical considerations in agent design.
When to use it
- Designing an AI agent that needs to operate independently in complex environments
- Building a system where agents must make decisions based on dynamic inputs
- Ensuring your agent follows ethical guidelines during autonomous operations
Key capabilities
- Understanding of agentic behavior models
- Implementation of memory and learning mechanisms
- Integration of decision-making logic
- Awareness of ethical constraints in AI agent development
Example prompts
- "Explain how to implement a goal-oriented behavior system for an AI agent."
- "What are the key components of an effective memory system in agentic design?"
- "How can I ensure my AI agent follows ethical guidelines during autonomous decision-making?"
Tips & gotchas
- Familiarity with basic AI concepts is recommended to fully leverage this skill.
- While it provides principles, practical implementation may require additional tools or frameworks.
Tags
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| Snyk | Pass |
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