This is a submission for the GitHub Copilot CLI Challenge
What I Built
cwa (Copilot Workflow Accelerator) is a lightweight Node.js CLI wrapper around GitHub Copilot CLI that makes repetitive dev workflows faster, safer, and more consistent.
Instead of typing long prompts into gh copilot suggest every time, you say:
cwa "scaffold a Next.js app with auth and Tailwind"
cwa "start feature branch auth-system, commit changes, push, open PR"
cwa then:
- Translates your intent into precise Copilot CLI prompts
- Generates the commands/scripts
- Shows a clear explanation
- Asks for confirmation before running anything
- Executes safely (with dry-run option and rollback hints)
Repo: https://github.com/datadr1ven/cwa
Demo
Here are some example invocations of cwa
First, a straightforward prompt that results in a single step action.
cwa "scaffold a new Next.js app called my-cool-project with Tailwind and basic auth
Next, a more complicated prompt, which results in a multistep action.
cwa "create feature branch login-page, stage all changes, commit with message 'Add login page UI', push to origin, open PR with body summarizing changes"
In this command, there is a risk of history loss, and cwa tells you about this via risk level
cwa "hard reset to HEAD~10 and force push to origin main"
And finally, here's cwa's help screen
How I Used GitHub Copilot CLI
Almost the entire tool was generated/refined using Copilot CLI itself — meta, but very on-theme for the challenge.
Key examples from the build process:
Initial structure & CLI setup
gh copilot -p "Create a Node.js CLI tool called 'cwa' using commander that takes natural language input and delegates to GitHub Copilot CLI..."Safety & confirmation flow
gh copilot -p "Add user confirmation before executing any generated command. Show full command first, then a human-readable explanation of what it will do, then prompt 'Execute? y/n/edit'."Chaining multi-step workflows
gh copilot -p "Handle multi-step Git workflows: create branch → stage → smart commit message → push → create PR with body from commit message."
Copilot CLI handled ~70–80% of the code (CLI parsing, error handling, command generation) — I mostly refined prompts, tested outputs, and added the safety rails.
Why This Adds Value (Even Though Copilot CLI Exists)
Raw gh copilot is incredibly powerful, but:
- Prompts must be perfect every time → easy to get inconsistent results
- No built-in confirmation/safety for destructive actions
- No chaining of steps into one atomic flow
cwa adds:
- Consistent, opinionated prompting (always safe, always explained)
- One-command multi-step workflows
- User-friendly intent parsing (no need to write perfect prompts yourself)
It's not trying to replace Copilot CLI — it's trying to make it 2× more practical for daily use.
Next Steps & Open Questions
- Add presets (.cwa.json for team/company defaults)
- Support more ecosystems (Python, Go, etc.)
- Better rollback on failure
Would love feedback:
- Useful or redundant?
- Safety model too cautious or just right?
- Any workflows you wish were one command?
Thanks for reading — claps, comments, roasts, all welcome! 🚀




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