codeagent

Coordinate multi-backend AI code tasks with parallel execution and per-task backend selection.

1|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/tense-i/stock-market-simulator --skill codeagent-tense-i
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codeagent
Source: https://github.com/tense-i/stock-market-simulator/tree/main/skills/codeagent
Command: npx skills add https://github.com/tense-i/stock-market-simulator --skill codeagent-tense-i

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinate multi-backend AI code tasks to orchestrate analysis, refactoring, and automated generation across codebases.

Core Features & Use Cases

  • Pluggable AI backends: Run tasks on Codex, Claude, or Gemini with seamless backend switching.
  • Parallel task execution: Dispatch independent tasks concurrently to maximize throughput.
  • File-reference workflow: Support for @file references to integrate code assets during tasks.
  • Security controls: Built-in permission checks and safeguards for automated code work.

Quick Start

Run a simple task with the Codex backend to analyze a codebase using codeagent-wrapper and review results.

Frequently Asked Questions about codeagent

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

FAQPage Schema
How do I coordinate AI code tasks across multiple backends?

Automated code refactoring across files uses parallel execution to dispatch independent tasks concurrently. By applying per-task backend selection, you can route specific refactoring operations to different AI backends like Codex, Claude, or Gemini.

Can I run parallel AI code generation tasks across different files?

Yes, parallel AI code generation tasks run concurrently by dispatching independent operations across multiple files. This maximizes throughput by utilizing per-task backend selection to route generation operations to your chosen AI backend.

Does codeagent support switching between Codex, Claude, and Gemini for code analysis?

Yes, pluggable AI backends support seamless switching between Codex, Claude, and Gemini for code analysis. Per-task backend overrides allow you to select the specific AI model for each individual code analysis operation.

What's the best way to integrate file references into automated code analysis?

The best way to integrate file references into automated code analysis is using the built-in @file reference syntax. This workflow integrates code assets directly into multi-backend AI tasks during processing.

Are there security controls for automated code generation and refactoring?

Security controls for automated code generation include built-in permission checks and safeguards. These security measures protect against unauthorized actions during multi-backend AI refactoring and parallel task execution across codebases.