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agent-ready-go

Enforce agent-readiness patterns in Go projects with JSON logging and non-interactive CLI behavior.

3|Updated Mar 18, 2026
Search Tags:#logging#cli#golang#go#config#json-output#agent-ready
One-click install
npx skills add https://github.com/rshade/agent-skills --skill agent-ready-go
Or copy as Structured Prompt for Agentโ–ผ
Please help me install this Agent Skill.
Skill: agent-ready-go
Source: https://github.com/rshade/agent-skills/tree/main/skills/agent-ready-go
Command: npx skills add https://github.com/rshade/agent-skills --skill agent-ready-go

SYSTEM DOCUMENTATION & REQUIREMENTS

๐Ÿ’ก This Skill includes assets (resource) and references (resource) components.

What problem does it solve?

Go projects frequently lack agent-readiness, causing AI coding agents to struggle with structured logging, machine-readable output, and non-interactive CLI design. This skill provides a repeatable pattern to prepare Go applications for AI agents by enforcing JSON-logged output, robust error handling, environment-driven configuration, health endpoints, and a standardized Makefile workflow.

Core Features & Use Cases

  • Audit and instrument Go projects for agent-readiness across logging, stdout data formats, exit codes, and non-interactive CLI conventions.
  • Offer configurable logging strategies (slog, Zap, ZeroLog, or Logrus) with JSON output to stderr to keep stdout machine-readable.
  • Provide a reusable Makefile scaffold and recommended config/templates for linting, testing, and CI to streamline agent integration.

Quick Start

Run the agent-ready-go workflow on your Go project to audit readiness and apply the recommended tooling.

Frequently Asked Questions about agent-ready-go

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

FAQPage Schema
How do I make my Go application agent-ready for AI coding tools?โ–ผ

To make a Go application agent-ready, enforce machine-readable JSON outputs, structured logging, and non-interactive CLI behavior. This involves routing JSON logs to stderr, using environment variables for configuration, and ensuring proper exit codes and context propagation.

What does agent-readiness mean for a Golang project?โ–ผ

Agent-readiness in a Golang project means ensuring AI agents can parse application outputs by using JSON logs, environment-driven configuration, health endpoints, and non-interactive CLI conventions to prevent execution hangs.

How do I configure structured JSON logging in Go for AI agents?โ–ผ

Configure structured JSON logging in Go by directing log output to stderr, which keeps stdout clean for machine-readable data. You can use libraries like slog, Zap, ZeroLog, or Logrus to implement this separation.

How do I set up a Makefile workflow for Go CI pipelines?โ–ผ

Set up a Go CI pipeline workflow by using a standardized Makefile scaffold that integrates linting, testing, and build commands. This ensures a repeatable, agent-friendly workflow across common Go toolchains.

Can I retrofit an existing Go project for agent-readiness?โ–ผ

Yes, you can retrofit existing Go projects for agent-readiness by auditing current logging, config, and CLI behavior. The workflow then applies required patterns like JSON output, health endpoints, and context propagation to the codebase.

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