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KrystianYCSilva
KrystianYCSilvaCOMMUNITY
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GitHub

coding-agent-tools

Configure coding agents for spec-first development and automated TDD workflows.

Updated Feb 20, 2026
Search Tags:#tdd#ci-cd#code-review#spec-first#ai-agents#ide-integration
One-click install
npx skills add https://github.com/KrystianYCSilva/math-theory-lib --skill coding-agent-tools
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: coding-agent-tools
Source: https://github.com/KrystianYCSilva/math-theory-lib/tree/main/.codex/skills/coding-agent-tools
Command: npx skills add https://github.com/KrystianYCSilva/math-theory-lib --skill coding-agent-tools

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Teams struggle to pick, configure, and orchestrate AI coding tools across editors, CLIs, and CI pipelines, which reduces productivity and increases risk of broken workflows and poor code quality.

Core Features & Use Cases

  • Tool Selection & Guidance: Practical comparisons and recommended use cases for CLI agents, IDE ghostwriters, AI-native editors, and local interpreters.
  • Workflow Patterns: Spec-first templates, TDD loops, reviewer-mode diffs, and CI/CD integration patterns to automate PR reviews and commit message generation.
  • References & Scripts: Detailed tool nuances, a glossary, warnings, and workflow script examples to reproduce spec-first and test-driven development with agents.
  • Use Case: Set up an agent-driven TDD loop that generates tests from a spec, runs them, applies fixes, and auto-reviews diffs before merging.

Quick Start

Ask an AI coding agent to "Implement the feature described in spec.md by generating tests, running them, and iterating until all tests pass."

Frequently Asked Questions about coding-agent-tools

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

FAQPage Schema
How do I set up a TDD loop with AI coding agents to generate and run tests automatically?▼

To set up an AI-assisted TDD loop, provide a spec.md file to your coding agent and instruct it to generate tests, run them, and iterate fixes until all tests pass. This automates test-driven cycles and reliable code generation.

What is spec-first development and how does it work with AI coding agents?▼

Spec-first development with AI coding agents uses a specification document like spec.md to generate tests and code. The agent reads the spec to guide implementation, ensuring reproducible development cycles and structured automation.

Can I automate code review and PR workflows using AI agents in CI/CD pipelines?▼

Yes, you can automate code review and PR workflows by integrating AI agents into CI/CD pipelines. The agents perform reviewer-mode diffs, generate commit messages, and auto-review code changes before merging.

What's the best way to choose between CLI agents, IDE ghostwriters, and AI-native editors?▼

Choosing between CLI agents, IDE ghostwriters, and AI-native editors depends on workflow needs. CLI agents automate pipelines, IDE ghostwriters assist inline coding, and AI-native editors manage full spec-first development cycles.

Do I need specific dependencies or environments to configure AI coding agent workflows?▼

No specific dependencies are required to configure AI coding agent workflows. You use existing IDE integration, CLI environments, and CI/CD platforms to orchestrate automation, relying on procedural guidance and reusable workflow scripts.

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