uni
v0.1.2Interactive lessons with questions, active recall, and concept exercises
By kpeezLicense: MIT0 GitHub starsUpdated 2 weeks ago
Directory evidence
- Runtimes
- Codex and Claude Code
- Parsed components
- 9 skill or MCP entries
- Source updated
- Oct 4, 2026
- Manifest status
- Canonical path parsed
The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →
Install uni for Codex and Claude Code
codex plugin marketplace add kpeez/agent-toolbox
codex plugin marketplace upgrade agent-toolbox
codex plugin add uni@agent-toolboxPaste and run these commands in a terminal with Codex. They add and refresh the agent-toolbox catalog, then install this plugin.
Compatibility: the page URL and API slug “uni” remain stable.
- Codex:
uni@agent-plugin-marketplace→uni@agent-toolbox
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/kpeez/agent-toolboxClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/uni/.
Plugin files
├── .codex-plugin/plugin.json├── .claude-plugin/plugin.json├── skills/learn/SKILL.md├── skills/learn-feynman/SKILL.md├── skills/learn-genetic/SKILL.md├── skills/learn-quiz/SKILL.md├── skills/learn-refute/SKILL.md├── skills/learn-review/SKILL.md├── skills/learn-transfer/SKILL.md├── skills/learn-worked-example/SKILL.md└── skills/teach/SKILL.md
Included Skills9
Teach interactive lessons with questions, active recall, and exercises that deepen understanding and application. Choose useful uni methods without requiring pedagogical labels. Do not turn ordinary coding or answer requests into a lesson.
Diagnose and improve the learner's own explanation of an already encountered concept. Ask for a from-memory explanation, check mechanisms and precision, teach gaps, and request revision or application.
Help a learner reconstruct the need for an idea from a concrete problem and the limits of familiar approaches. Use for why a concept or representation exists, with adaptive guidance and explicit consolidation.
Administer source-grounded retrieval and diagnostic questions one at a time, with private answer preparation, fair grading, feedback, and adaptive follow-up. Use for an interactive quiz rather than a worksheet or simulated dialogue.
Tutor through criticism and repair of a learner's conjecture, explanation, proof sketch, or algorithm. Test assumptions and counterexamples while distinguishing false claims, invalid arguments, and empirical uncertainty.
Revisit user-selected or recently learned concepts through active recall and focused exercises in chat. Use for a review or concept drill, one real learner response at a time.
Test and develop selection and use of learned ideas in new situations. Use meaningful context or structural variation, method discrimination, implementations, experiment designs, and nontechnical applications.
Teach through a small worked example, selective explanation prompts, completion problems, and independent attempts. Use for missing prerequisites, stalled discovery, unfamiliar procedures, or requested instruction.
Teach the user a new skill or concept, within this workspace.
Plugin manifests2
{
"name": "uni",
"description": "Interactive lessons with questions, active recall, and concept exercises",
"version": "0.1.2",
"author": {
"name": "kpeez",
"url": "https://github.com/kpeez"
},
"homepage": "https://github.com/kpeez/agent-toolbox",
"repository": "https://github.com/kpeez/agent-toolbox",
"license": "MIT",
"keywords": [
"learning",
"tutoring",
"active-recall",
"exercises",
"understanding"
],
"skills": "./skills/",
"interface": {
"displayName": "uni",
"shortDescription": "Lessons with questions, recall, and concept exercises.",
"longDescription": "Help the learner understand ideas through explanations, their own answers, active recall, worked examples, and exercises that probe and deepen concepts.",
"developerName": "kpeez",
"category": "Productivity",
"defaultPrompt": [
"Teach me this topic with questions and exercises.",
"Ask me to explain this concept from memory.",
"Drill the concepts we just covered, one question at a time."
],
"brandColor": "#166534"
}
}{
"name": "uni",
"description": "Interactive lessons with questions, active recall, and concept exercises",
"version": "0.1.2",
"author": {
"name": "kpeez",
"email": "[email protected]"
},
"homepage": "https://github.com/kpeez/agent-toolbox",
"repository": "https://github.com/kpeez/agent-toolbox",
"license": "MIT",
"keywords": [
"learning",
"tutoring",
"active-recall",
"exercises",
"understanding"
]
}For maintainers
If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.
[uni on Agent Plugins Marketplace](https://pluginsmp.com/plugins/uni)