ai-literacy-superpowers
Most AI coding plugins do one thing. This package delivers a complete development workflow — harness engineering, agent orchestration, literate programming, …
A set of Claude Code and GitHub Copilot plugins providing the AI Literacy framework's complete development workflow — harness engineering, agent orchestration, literate programming, CUPID code review, and the three enforcement loops
- Enforce structured code review using the CUPID framework
- Orchestrate multi-agent workflows with built-in guardrails
- Apply literate programming patterns to AI-assisted development
Most AI coding plugins do one thing. This package delivers a complete development workflow — harness engineering, agent orchestration, literate programming, and code review — grounded in the AI Literacy framework.
Engineering teams adopting structured AI development practices who want opinionated workflow guardrails for Claude Code and GitHub Copilot.
https://github.com/Habitat-Thinking/ai-literacy-superpowers
By Habitat-Thinking
How to Get It
claude plugins install Habitat-Thinking/ai-literacy-superpowers
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:
Help me enforce structured code review using the CUPID framework
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Reddit
- In the Age of AI, is Code Literacy Your Superpower? — Reddit · 3 pts
- what “AI literacy” would look like if scaled — Reddit · 2 pts
- When AI Meets the Courtroom Is Prompt Literacy the Next Superpower for Lawyers o — Reddit · 1 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 39 GitHub stars; 2 contributors; last commit 18d ago; license no license.
Things to check
- Recently discovered. Looks promising but has limited community feedback so far.
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
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 39 GitHub stars; 2 contributors; last commit 18d ago; license no license.