yyz666ai/Learning-Agent

An all-in-one Agentic AI learning system, from goal understanding and study plans to interactive lessons, exercises, and review.

0Stars on the repository
23Mods indexed here, across every type
1mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

yyz666ai/Learning-Agent

Skill Codex

Use when generating a structured learning deck, a lesson manifest, or a short practice sequence for a learner with a confirmed learning profile.

not rated 0 1mo ago A 31 tokens original MIT

adaptive-onboarding

02

yyz666ai/Learning-Agent

Skill Codex

Use when a learner has supplied a new topic and goal, and the system needs a short clickable diagnostic before making a personalized learning plan.

not rated 0 1mo ago A 31 tokens original MIT

assignment-review

03

yyz666ai/Learning-Agent

Skill Codex

A review skill for checking submitted Python, Go, code explanations, debugging notes, or practice exercises.

not rated 0 1mo ago A 37 tokens original MIT

code-learning

04

yyz666ai/Learning-Agent

Skill Codex

A guided code-reading skill for learning how a specific file, function, call chain, data flow, or error path works in a real project.

not rated 0 1mo ago A 33 tokens original MIT

yyz666ai/Learning-Agent

Skill Codex

A guided learning-plan tool for understanding an existing Python or Go codebase and gaining the skills to explain, debug, change, or recreate its behaviour.

not rated 0 1mo ago A 37 tokens original MIT

concept-teaching

06

yyz666ai/Learning-Agent

Skill Codex

A guided teaching workflow for learning one programming concept at a time in Python, Go, or the code you are working on. TDD means test-driven development, but this description does not say that the add-on teaches TDD.

not rated 0 1mo ago A 38 tokens original MIT

environment-setup

07

yyz666ai/Learning-Agent

Skill Codex

A guided setup for beginners who are learning to code, running a program for the first time, or moving to a new computer. It covers the required software, installation checks, project folders, and first run.

not rated 0 1mo ago A 34 tokens original MIT

exercise-coach

08

yyz666ai/Learning-Agent

Skill Codex

A coaching guide for people completing Python, Go, or code-reading exercises. It gives the smallest useful hint first and increases help only when needed.

not rated 0 1mo ago A 37 tokens original MIT

knowledge-curator

09

yyz666ai/Learning-Agent

Skill Codex

A set of rules for teaching technical subjects and saving verified lessons as reusable knowledge. The description is partly in Chinese and does not specify the complete feature set.

not rated 0 1mo ago A 55 tokens original MIT

learner-onboarding

10

yyz666ai/Learning-Agent

Skill Codex

A learning-guidance skill for understanding a developer's goals, background, available time, and code project before creating a study plan. It also routes direct questions about individual concepts to a shorter learning path.

not rated 0 1mo ago A 36 tokens original MIT

yyz666ai/Learning-Agent

Skill Codex

Use when a learner expresses a new learning goal, interview or exam need, provides materials, corrects a prior goal, or answers an onboarding question.

not rated 0 1mo ago A 35 tokens original MIT

learning-plan

12

yyz666ai/Learning-Agent

Skill Codex

A Chinese-language planning tool for creating or adjusting short, practical learning routes for Python, Go, mixed-language, or goal-focused programming study.

not rated 0 1mo ago A 29 tokens original MIT

learning-progress

13

yyz666ai/Learning-Agent

Skill Codex

A read-only learning-progress report that summarizes evidence of what a learner can do, what needs review, and what to learn next.

not rated 0 1mo ago A 32 tokens original MIT

lesson-revision

14

yyz666ai/Learning-Agent

Skill Codex

Use when a learner says the current deck is too shallow, too long, too textual, too difficult, inaccurate, poorly paced, missing diagrams, or asks to regenerate or change specific lesson pages.

not rated 0 1mo ago A 43 tokens original MIT

new-topic-research

15

yyz666ai/Learning-Agent

Skill Codex

Use when a learner requests a library, framework, API, project, interview domain, or other topic whose reliable teaching assets are missing or may be version-sensitive.

not rated 0 1mo ago A 37 tokens original MIT

plan-revision

16

yyz666ai/Learning-Agent

Skill Codex

Use when a learner reviews a draft learning plan and asks to change pace, depth, outcomes, projects, practice balance, deadline, or topic coverage.

not rated 0 1mo ago A 34 tokens original MIT

practice-drill

17

yyz666ai/Learning-Agent

Skill Codex

A practice system for learners who want to improve by solving coding exercises and related variations. It adjusts tasks to the learner’s level and records evidence of completed work.

not rated 0 1mo ago A 48 tokens original MIT

yyz666ai/Learning-Agent

Skill Codex

Use when teaching code that introduces several unfamiliar APIs, a framework skeleton, a long example, or code a beginner cannot yet read independently.

not rated 0 1mo ago A 33 tokens original MIT

project-practice

19

yyz666ai/Learning-Agent

Skill Codex

A guided way to practise programming by building a small, working project from the beginning. It breaks the work into milestones, adds only the needed concepts, and checks each step by running the code.

not rated 0 1mo ago A 44 tokens original MIT

project-scaffolder

20

yyz666ai/Learning-Agent

Skill Codex

Use when a learning plan requires runnable chapter files, a multi-lesson coding course, a project-based route, or a workspace the learner will open in an editor.

not rated 0 1mo ago A 38 tokens original MIT

quiz-designer

21

yyz666ai/Learning-Agent

Skill Codex

Use when a lesson needs clickable checks, prediction questions, misconception diagnosis, review questions, or an evidence gate before practice or progression.

not rated 0 1mo ago A 30 tokens original MIT

spaced-review

22

yyz666ai/Learning-Agent

Skill Codex

A learning skill for spaced review, a method that revisits knowledge at increasing intervals to improve long-term recall. It selects due topics and presents one recall, explanation, or coding task at a time.

not rated 0 1mo ago A 37 tokens original MIT

visual-explainer

23

yyz666ai/Learning-Agent

Skill Codex

Use when a programming concept depends on sequence, state change, branching, data flow, ownership, hierarchy, lifecycle, or several components interacting.

not rated 0 1mo ago A 33 tokens original MIT

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