Delegate coding tasks to an OpenAI Codex agent via the Codex CLI.
npx skills add https://github.com/alexei-led/claude-code-config --skill asking-codex
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
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.
Use the asking-codex skill in 'review' mode to perform a security-focused code review on the uncommitted changes in the current Git repository.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
SriRamkunamsettyDelegate coding tasks to the Codex CLI within a git repository.
CapplequoppeAutomate code commits with testing, staging checks, and conventional messages.
greencmMerge pull requests, run CI tests, and deploy to production with canary checks.
AvihusittonDetect logic flaws, race conditions, and security risks in code reviews.
