{"repo":"Habitat-Thinking/ai-literacy-superpowers","free":true,"listed":false,"github":"https://github.com/Habitat-Thinking/ai-literacy-superpowers","clone":"git clone https://github.com/Habitat-Thinking/ai-literacy-superpowers.git","description":"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","language":"Python","stars":45,"topics":["agent-orchestration","ai-literacy","claude-code","claude-code-plugin","code-review","copilot-cli","copilot-cli-plugin","cupid","developer-tools","github-copilot"],"license":null,"category":"dev-tools","readme_excerpt":"ai-literacy-superpowers A plugin marketplace for Claude Code and GitHub Copilot CLI shipping opinionated tools for the AI Literacy framework — harness engineering, agent orchestration, decision archaeology, governance, and model evaluation. Add the marketplace, install the plugin(s) you want, and you have a fully operational habitat for AI-assisted development. New to the project? Start with ONBOARDING.md or browse the docs site. --- Plugins in this marketplace Plugin Version What it does Docs ------ ------- ------------ ---- ai-literacy-superpowers v0.73.3 The flagship. Harness engineering, agent orchestration, literate programming, CUPID code review, compound learning, and the three enforcement loops. 41 skills, 20 agents, 32 commands. docs model-cards v0.1.0 Researches and authors Mitchell-extended model cards from a model name. Tiered source strategy (provider docs → HuggingFace → arXiv → web), refusal-on-unconfirmed-existence honesty rule. docs diagnostic-legibility v0.11.0 Hosts agents accountable for maintaining human understanding. Ships the diagnostic-legibility agent — builds and self-challenges two models of a codebase scope (architectural moving parts and domain concepts) via a five-question retained-challenge cycle, then cross-checks the two collections against each other via a five-question per-direction cycle. The /diagnose command surfaces the mutually-corrected models on demand as a readable report. The ConceptualPipelineMap template adds a standalone, presen","default_branch":null,"files":null,"tree":[],"storefront":"/r/Habitat-Thinking","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Habitat-Thinking/ai-literacy-superpowers/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}