asking-codex

Delegate coding tasks to an OpenAI Codex agent via the Codex CLI.

35|5|Updated Jul 5, 2025

Search Tags:#automation #implementation #codex #ai #delegation #quality #code-review

Ready to run

npx skills add https://github.com/alexei-led/claude-code-config --skill asking-codex

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: asking-codex
Source: https://github.com/alexei-led/claude-code-config/tree/main/skills/asking-codex
Command: npx skills add https://github.com/alexei-led/claude-code-config --skill asking-codex

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill offloads implementation work and code review to a specialized AI agent, allowing you to parallelize development, validate approaches, and maintain high code quality with an external audit.

Core Features & Use Cases

Autonomous Code Execution: Delegate well-defined coding tasks like "add input validation" for hands-off implementation.
External Code Review: Get a detailed, line-by-line security and quality review of your changes before committing.
Use Case: Imagine you've just written a complex algorithm. Use this Skill to have Codex review it for edge cases, performance issues, and suggest alternative, more idiomatic implementations.

Quick Start

Use the asking-codex skill in 'review' mode to perform a security-focused code review on the uncommitted changes in the current Git repository.

Frequently Asked Questions about asking-codex

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

FAQPage Schema

How do I get an AI code review of my changes before committing?▼

Code review via AI delegates line-by-line security and quality analysis to an external agent. Use the asking-codex Skill in review mode on your uncommitted Git changes to receive detailed feedback on potential issues, edge cases, and idiomatic improvements before you commit.

Can I automate coding tasks like adding input validation or implementing features?▼

Autonomous code execution delegates well-defined coding tasks to an AI agent for hands-off implementation. The asking-codex Skill accepts task descriptions and generates working code changes, reducing manual implementation work while maintaining quality through its reasoning modes.

What environment and tools do I need to use this Skill?▼

You need a Bash environment, the Codex CLI installed, Git repository access, and sandbox configuration enabled. The Skill orchestrates prompts and context-aware execution modes through a wrapper workflow, so prerequisite setup includes CLI installation and workspace sandboxing.

How does delegating code tasks improve development speed?▼

Delegation parallelizes development by offloading implementation and review work to an AI agent while you focus on design and decisions. This reduces bottlenecks in code quality validation and speeds up iterative cycles on complex features or refactoring.

Does this Skill work with existing Git workflows?▼

Yes, asking-codex integrates with Git-based workflows by operating on uncommitted changes in your current repository. It reads your code context, applies Codex modes like review, plan, and implement, and outputs results compatible with standard commit and review processes.

What are the limitations when using AI for code review and implementation?▼

The Skill requires well-defined tasks and Bash environments; complex architectural decisions still need human judgment. Results depend on prompt clarity and sandbox constraints, so edge cases and security-critical logic should receive manual validation before production deployment.