AI Literacy Superpowers
A set of Claude Code and GitHub Copilot plugins providing the AI Literacy framework's complete development workflow — harness engineering, agent orchestration, literate…
Install
claude plugin install ai-literacy-superpowersInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →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 |
v0.92.0 | 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, presentation-agnostic flow-perspective data model; the agent's scope-resolution mode answers "what does my task touch?"; its pipeline mode traces control flow within that bound and cross-checks all three collections; the /pipeline-map "<task>" command renders the task-scoped map as a self-contained HTML flowchart (pinned, SHA-verified Mermaid inlined; no CDN); and --predict-change adds an opt-in change-site prediction (which stages the task will modify and where it will insert new ones), disclosed as a prediction, never a directive. |
docs |
The bulk of this README documents the ai-literacy-superpowers plugin specifically — its skills, agents, commands, hooks, templates, enforcement loops, and pipelines. For model-cards, see its README and its docs. Future sister plugins will land in this marketplace under / with their own docs at docs/plugins//.
Installation
1. Add the marketplace (once)
# Claude Code
claude plugin marketplace add Habitat-Thinking/ai-literacy-superpowers
# GitHub Copilot CLI
copilot plugin marketplace add Habitat-Thinking/ai-literacy-superpowers
2. Install the plugin(s) you want
# Claude Code
claude plugin install ai-literacy-superpowers # the flagship
claude plugin install model-cards # the sister
# GitHub Copilot CLI
copilot plugin install ai-literacy-superpowers@ai-literacy-superpowers
copilot plugin install model-cards@ai-literacy-superpowers
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