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async-code

Use Claude Code / CodeX CLI to perform multiple tasks in parallel with a Codex-style UI. Your personal codex/cursor-background agent. Claude Code UI.

Install / Use

npx skills add ObservedObserver/async-code

Installs into whichever agent you are using.

About this skill
📐

.cursorrules

Cursor IDE rules (legacy)

Quality Score

81/100

Supported Platforms

Cursor
Claude Code
OpenAI Codex

Our assessment of async-code

async-code scores 81/100 on our quality scale, 3457th of 4,611 Development & Engineering skills we index.

Its .cursorrules is 3.5 KB long, well organised into 16 sections with 2 code examples: a solid amount of guidance for an agent.

It has 534 GitHub stars, a meaningful sign that others use it.

Substance
26/30
Structure
18/20
Description
15/15
Adoption
12/20
Freshness
11/15

Maintenance, license and trust

  • The repository was last updated about 12 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
  • Our last check on 2026-10-21 found the source still online.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 94/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

async-code compared with similar skills

All 4 of these similar skills score higher than async-code; compare them before choosing.

SkillScoreStarsUpdatedFormat
async-code (this skill)by ObservedObserver8153412mo ago.cursorrules
taste-skillby Leonxlnx100110.8k1d agoCLAUDE.md
ai-job-searchby ai-job-search-dev10069.9ktodayCLAUDE.md
claude-howtoby luongnv8910046.6k3d agoCLAUDE.md
algorithmic-artby anthropics100177.9k44d agoSKILL.md

Frequently asked questions

How do I install async-code?
Run npx skills add ObservedObserver/async-code. The install tabs above show the steps for each supported agent.
Which AI agents does async-code work with?
It is written for Cursor, Claude Code and OpenAI Codex, as a .cursorrules file. Other agents that read the same format can often use it too.
Is async-code safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is Apache-2.0-licensed and scores 94/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is async-code still maintained?
The repository was last updated about 12 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.

Async Code Agent

Use Claude Code / CodeX CLI to perform multiple tasks in parallel with a Codex-style UI.

A code agent task management system that provides parallel execution of AI-powered coding tasks. Users can run multiple Claude Code agents simultaneously through a Codex-style web interface, with support for different agents for comparison and evaluation.

async-code-ui

async-code-review

Key Features

  • 🤖 Multi-Agent Support: Run Claude Code and other AI agents in parallel
  • 🔄 Parallel Task Management: Execute multiple coding tasks simultaneously
  • 🌐 Codex-Style Web UI: Clean interface for managing agent tasks
  • 🔍 Agent Comparison: Compare outputs from different AI models
  • 🐳 Containerized Execution: Secure sandboxed environment for each task
  • 🔗 Git Integration: Automatic repository cloning, commits, and PR creation
  • Selfhost: Deploy your own parallel code agent platform.

Architecture

  • Frontend: Next.js with TypeScript and TailwindCSS
  • Backend: Python Flask API with Docker orchestration
  • Agents: Claude Code (Anthropic) with extensible support for other models
  • Task Management: Parallel execution system based on container

Prerequisites

  • Docker and Docker Compose installed
  • (Optional) Supabase account for persistent data storage

Quick Start

  1. Clone the repository

    git clone <this-repo>
    cd async-code
    
  2. Create the environment file

    cp server/.env.example server/.env
    

    Edit server/.env and set your ANTHROPIC_API_KEY. If you are using Supabase, also set SUPABASE_URL, SUPABASE_ANON_KEY and SUPABASE_SERVICE_ROLE_KEY.

  3. Build and start the stack

    docker-compose up --build -d
    
    • Frontend: http://localhost:3000
    • Backend API: http://localhost:5000

Supabase Setup

  1. Create a new project in the Supabase dashboard.
  2. Open the SQL editor and run db/init_supabase.sql to create the required tables.
  3. Grab your project URL, anon key and service role key from Project Settings → API and place them in server/.env.

Usage

  1. Setup GitHub Token: Enter your GitHub token in the web interface
  2. Configure Repository: Specify target repository and branch
  3. Select Agent: Choose your preferred AI agent (Claude Code, etc.)
  4. Submit Tasks: Start multiple coding tasks in parallel
  5. Compare Results: Review and compare outputs from different agents
  6. Create PRs: Generate pull requests from successful tasks

Environment Variables

# server/.env
ANTHROPIC_API_KEY=your_anthropic_api_key_here

# Supabase
SUPABASE_URL=https://your-project.supabase.co
SUPABASE_ANON_KEY=your_anon_key
SUPABASE_SERVICE_ROLE_KEY=your_service_role_key

# Flask configuration
FLASK_ENV=production
FLASK_DEBUG=False

Development

# Run all services
docker-compose up

# Development mode
cd async-code-web && npm run dev  # Frontend
cd server && python main.py      # Backend

Production Deployment

  1. Set FLASK_ENV=production in server/.env and export NODE_ENV=production before running the stack.
  2. Build and start the containers:
    NODE_ENV=production docker-compose up --build -d
    
  3. Monitor the logs with:
    docker-compose logs -f
    

License

See LICENSE file for details.

Related Skills

View on GitHub
GitHub Stars534
CategoryDevelopment
Updated11mo ago
Forks49

Languages

TypeScript

Trust signals

94/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 low
async-code — .cursorrules: Install & Safety Check | SkillAgent