Agentic Development FAQs

Question 1

What are the core capabilities provided by this skill?

Accepted Answer

Key capabilities include strategies for running 3-8 parallel agents in one folder, model-specific prompting for Claude and GPT, strategic refactoring patterns, and techniques for 'steering' agents through active interruption and same-context testing.

Question 2

When should I use this skill?

Accepted Answer

Use this skill when you are setting up complex agentic workflows, choosing between different LLM architectures, managing multiple concurrent tasks in a single directory, or looking to reduce 'context tax' through optimized tool selection like CLIs.

Question 3

What does the Agentic Development skill do?

Accepted Answer

This skill provides a high-velocity framework for building software with AI agents. It moves away from rigid planning toward a 'Just Talk To It' methodology, utilizing blast radius estimation, parallel agent management, and model-specific prompting to maximize developer productivity.

Question 4

How does this skill improve my development workflow?

Accepted Answer

It improves workflow by treating AI agents as capable engineers rather than rigid tools. It teaches you to manage 'blast radius' to prevent file bloat, use visual context (screenshots) for faster debugging, and delegate mechanical refactoring to agents during low-focus periods.

Question 5

Why does this skill recommend CLIs over MCPs?

Accepted Answer

It prioritizes efficiency by avoiding 'Context Tax.' While MCPs consume tokens on every interaction, models already possess strong world knowledge of popular CLIs. Using CLIs keeps the context window lean, reducing costs and improving model performance on the actual task.

Agentic Development

Agentic Development

Key Features

Use Cases

Key Features

Use Cases