ai-agentic-design

Enforce non-interactive defaults and Docker-based provisioning for AI-driven Spiderly development.

61|24|Updated Sep 14, 2024
One-click install
npx skills add https://github.com/filiptrivan/spiderly --skill ai-agentic-design
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-agentic-design
Source: https://github.com/filiptrivan/spiderly/tree/main/claude-plugins/skills/ai-agentic-design
Command: npx skills add https://github.com/filiptrivan/spiderly --skill ai-agentic-design

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Design principles ensure Spiderly features are AI-agent-friendly and operable without human intervention across CLI, generators, and framework code.

Core Features & Use Cases

  • Non-Interactive by Default: CLI commands run fully with flags; avoid prompts.
  • Fail Loudly: Non-interactive failures return errors and stop; clear diagnostics.
  • Prerequisite Validation Upfront: Validate tools before executing.
  • Docker-First for Infrastructure: Auto-provision dependencies via Docker in non-interactive mode.
  • Documentation = AI Instructions: Docs are precise enough for AI agents to follow verbatim.
  • End-to-End AI Readiness: Classification by attributes guides generation and testing.

Quick Start

Guide an AI agent to review and implement ai-agentic design in Spiderly features by applying the principles to CLI, generators, and framework code.

Frequently Asked Questions about ai-agentic-design

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

FAQPage Schema
How do I make CLI commands non-interactive for AI agents?

To make CLI commands non-interactive for AI agents, configure them to run fully with flags and avoid human prompts. This ensures automated agents can execute framework features and code generators safely without requiring manual input.

What is AI-friendly documentation for code generators?

AI-friendly documentation for code generators consists of precise, explicit instructions that an AI agent can follow verbatim. It treats documentation as executable instructions, ensuring automated agents can accurately apply framework guidelines during development.

How do I validate prerequisites upfront for automated development?

Validate prerequisites upfront for automated development by checking required tools and environments before executing commands. This prevents silent failures and ensures the AI agent has the necessary dependencies provisioned prior to running non-interactive processes.

Does Docker-based provisioning work for non-interactive CLI tools?

Yes, Docker-based provisioning works for non-interactive CLI tools by automatically provisioning infrastructure dependencies. This approach ensures reproducible, isolated environments so AI agents can safely execute framework components without human intervention.

Why do non-interactive CLI commands fail loudly during framework development?

Non-interactive CLI commands fail loudly during framework development to enforce strict build-time diagnostics. Instead of hanging on missing input, failures return clear errors and halt execution, allowing AI agents to immediately identify and resolve issues.

What is the best way to enable AI agents to drive framework code generation?

The best way to enable AI agents to drive framework code generation is applying end-to-end AI readiness principles: enforce non-interactive defaults, validate prerequisites upfront, provision via Docker, and use strict diagnostics for safe, reproducible development.