agent-dev

Develop and extend AI agent components with vault-first knowledge retrieval.

6|3|Updated Feb 24, 2026

Search Tags:#agent development #knowledge capture #internal tools #ai architecture #vault-first #codebase extension

Ready to run

npx skills add https://github.com/adrozdenko/soleri --skill agent-dev

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-dev
Source: https://github.com/adrozdenko/soleri/tree/main/agents/salvador-filetree/skills/agent-dev
Command: npx skills add https://github.com/adrozdenko/soleri --skill agent-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the process of developing and extending the AI agent's own codebase, ensuring that all internal changes are made with a deep understanding of existing architecture and best practices.

Core Features & Use Cases

Vault-First Knowledge Gathering: Prioritizes using the agent's internal knowledge base (vault) before resorting to code inspection or general knowledge.
Structured Development Workflow: Provides a clear, step-by-step process for implementing changes, from initial research to capturing new knowledge.
Use Case: When adding a new tool to the agent, this Skill guides you to first search the vault for existing tool patterns, then check for proven brain patterns, and only then read the relevant code, ensuring consistency and leveraging learned intelligence.

Quick Start

Use the agent-dev skill to add a new facade to the agent.

Frequently Asked Questions about agent-dev

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

FAQPage Schema

How do I extend an AI agent's internal tools while maintaining existing architecture?▼

To extend an AI agent's internal tools while maintaining architecture, enforce a vault-first knowledge retrieval strategy that searches for existing patterns and validates them before modifying any code.

What is vault-first knowledge capture in agent development?▼

Vault-first knowledge capture in agent development prioritizes querying the agent's internal knowledge base to retrieve established architecture and proven brain patterns before inspecting code or implementing new features.

How do I add a new facade to an AI agent codebase?▼

To add a new facade to an AI agent codebase, follow a structured development workflow that searches the vault for existing tool patterns, validates brain patterns, and then reads the relevant code to ensure consistency.

Do I need to update the vault after modifying agent brain features?▼

Yes, updating the vault after modifying agent brain features is required to capture new learnings back into the knowledge base, ensuring future development cycles can leverage the newly acquired intelligence.

Can I use general knowledge to implement agent codebase extensions?▼

General knowledge is not the primary source for agent codebase extensions; the workflow mandates explicit vault searches and pattern validation prior to implementation to ensure strict adherence to existing architecture.

Why does my AI agent development workflow require explicit vault searches?▼

Explicit vault searches are required in AI agent development to enforce a vault-first retrieval strategy, guaranteeing that new facades, tools, and brain features align with proven architectural patterns before code modification.