awesome-copilot-id
Reduces onboarding friction and standardizes AI-assisted coding practices across teams by providing pre-tested prompts and agent configurations that accelera…
A curated collection of custom agents, skills, rules, and prompts for GitHub Copilot, Google Antigravity, OpenCode, ChatGPT Codex, and Oh My Pi. Tailored for Indonesian and International developers to streamline SDLC workflows with AI.
- Ask Claude to review custom Copilot prompts for code quality and consistency standards.
- Generate standardized agent configurations to automate repetitive tasks in your development pipeline.
- Find best-practice skill templates from the collection to accelerate new developer onboarding.
Reduces onboarding friction and standardizes AI-assisted coding practices across teams by providing pre-tested prompts and agent configurations that accelerate common SDLC tasks.
Development teams adopting GitHub Copilot or similar AI tools seeking reusable, community-validated configurations to normalize AI coding workflows.
https://github.com/GulajavaMinistudio/awesome-copilot-id
By GulajavaMinistudio
How to Get It
claude plugins install GulajavaMinistudio/awesome-copilot-id
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Review custom Copilot prompts for code quality and consistency standards
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 55 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
- Single maintainer. Consider the risk if this person stops maintaining the project.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 55 GitHub stars; contributors unknown; last commit 0d ago; license MIT.