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[Resource]: qlaude #787

@starsh2001

Description

@starsh2001

Display Name

qlaude

Category

Tooling

Sub-Category

Tooling: Orchestrators

Primary Link

https://github.com/starsh2001/qlaude

Author Name

starsh2001

Author Link

https://github.com/starsh2001

License

MIT

Other License

No response

Description

Claude Code wrapper that queues prompts from a text file and executes them automatically. Supports directives for model switching, session management, and new session creation. When Claude hits a selection prompt, it sends inline buttons to Telegram for remote response.

Validate Claims

npm install -g qlaude then run qlaude in any project directory. Create a .qlaude/queue file with prompts and watch them execute automatically. Telegram integration can be verified by configuring .qlaude/telegram.json with a bot token.

Specific Task(s)

Queue multiple Claude Code tasks with different models and walk away. Create a text file with 3+ prompts using @model and @new directives, load it with qlaude, and watch Claude execute them sequentially without manual intervention. Configure Telegram to see how qlaude sends interactive inline buttons when Claude asks a question, allowing you to respond from your phone.

Specific Prompt(s)

  1. Create a file called tasks.txt with the following content:

@model sonnet
Create a simple Express + TypeScript project with a hello world endpoint on port 3000
@new
@model sonnet
Add a GET /health endpoint that returns { status: "ok" }

  1. Run: qlaude ---file tasks.txt
  2. Observe qlaude loading the queue, switching models, and feeding prompts to Claude automatically as each task completes.

Additional Comments

Self-submitted by the author. qlaude is currently in alpha. Documentation includes both English and Korean manuals.

Recommendation Checklist

  • I have checked that this resource hasn't already been submitted
  • My resource provides genuine value to Claude Code users, and any risks are clearly stated
  • All provided links are working and publicly accessible
  • I am submitting only ONE resource in this issue
  • I understand that low-quality or duplicate submissions may be rejected

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