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.