Accelerating Your SDLC with AI: Awesome Copilot ID v1.7.0 Released! π
Software development isn't just about writing code. It involves exploration, writing Product Requirements Documents (PRDs), careful planning, code reviews, and bug fixing. What if you could accelerate this entire Software Development Life Cycle (SDLC) with the help of structured AI agents?
Today, we are incredibly excited to announce the latest release of Awesome Copilot ID v1.7.0!
For those who might be new to this, Awesome Copilot ID is a curated collection of custom AI agents, skills, rules, and prompts designed to streamline your SDLC workflow. Originally built for GitHub Copilot, this collection now supports OpenCode, Google Antigravity, ChatGPT Codex, and many more.
β¨ What's New in v1.7.0?
The major highlight of version 1.7.0 is the introduction of the Advanced SDLC Skills Workflow powered by Slash Commands.
Instead of typing long and repetitive prompts, you can now invoke various specialist SDLC agents directly, just like commanding a personal assistant. This new configuration is cleanly housed within the agent-skills-sdlc directory.
π‘ Example: SDLC Workflow via Slash Commands
Imagine you are tasked with building a new Shopping Cart feature. Instead of jumping straight into codingβwhich often leads to over-engineering or scope creepβyou can execute this agent sequence rapidly:
1. Specification Design (Spec Phase)
Use /sdlc-define-specs to design a mature Technical Specification.
/sdlc-define-specs please design a technical specification for the shopping cart feature based on @prd-shopping-cart.md
2. Execution Planning (Plan Phase)
Use /sdlc-plan-tasks to break down the specification into structured execution plans and tasks.
/sdlc-plan-tasks create a step-by-step implementation plan based on @spec-shopping-cart.md
3. Writing the Code (Code Phase)
Use /sdlc-write-code to let the AI execute the coding process with high precision, strictly adhering to the approved Specs and Plan.
/sdlc-write-code implement the shopping cart feature based on @plan-shopping-cart.md. Target files are @cart.js and @style.css
More Commands Available!
Beyond the three commands above, we also provide:
-
/sdlc-explore-ideas(Codebase exploration & brainstorming) -
/sdlc-draft-prd(Drafting Product Requirements Documents) -
/sdlc-audit-consistency(Auditing consistency between PRDs & Specs) -
/sdlc-code-review(Performing code reviews based on Clean Code/SOLID principles) -
/ponytail-lazy-senior-dev(Applying an "efficient senior developer" mindset to prevent over-engineering)
π οΈ Installation Guide
We've designed the installation process to be as seamless as possible.
Simply run our installation script (install.sh for macOS/Linux or install.ps1 for Windows) located in our repository.
When the interactive menu appears, select Option 9 (Google Antigravity - Advanced Skills SDLC Workflow). The script will automatically configure the .agents folder and the AGENTS.md file into your project.
π Important Links
- Release Notes v1.7.0: GitHub Releases
- GitHub Repository: Awesome Copilot ID
- Official Documentation Website: Visit Our Web
Let's boost our coding productivity and engineering quality using a much more structured and efficient AI workflow.
Don't forget to visit our GitHub and show your support by leaving a β (Star)! What are your thoughts on this slash command-based workflow? Let's discuss in the comments below! π

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