aeroscissorz

Learnlance — AI skill for Claude Code

AI community

Learn from your AI coding agents.

How to install Learnlance

This entry records only its repository, not the path inside it, so there is no exact command to give. Open aeroscissorz/learnlance and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Learnlance does

Learn from your AI coding agents. Learnlance turns AI-generated code into a personal knowledge graph of concepts you actually learned.

Alternatives in AI

README

learnlance 🧠🔍

Turn what AI coding agents build into a growing personal knowledge graph.

[Demo](#demo) · [Install](#install) · [Contribute](#contributing)

┌───────────────────────────────────────────────┐
│                                               │
│                YOUR LEARNING GRAPH            │
│                                               │
│    Delta encoding ──── Data synchronization   │
│          │                   │                │
│          └─── Compression ────┘                │
│                  │                            │
│                  └──────── Diffing            │
│                                               │
│    Debouncing ───── Idempotency keys          │
│                                               │
│    Topological sort ─── Graph algorithms      │
│                                               │
└───────────────────────────────────────────────┘

You use AI to write code.

Learnlance watches what gets built and turns that work into concepts you can actually understand and remember.

**AI writes the code. Learnlance helps you learn from it.**

Demo

![Learnlance knowledge graph](https://github.com/aeroscissorz/learnlance/blob/main/docs/demo.png)

This is what learnlance builds — an interactive map of the concepts you've picked up while coding.

learnlance watches your agent — **Claude Code, OpenAI Codex, Cursor, GitHub Copilot (CLI / cloud / VS Code), Command Code, Kiro, Gemini CLI, Antigravity**, or plain `git commit` — and after every turn that writes or edits code, it quietly:

  1. pulls out the code the agent just wrote,
  2. asks an LLM "what transferable concepts could a developer learn from this?" — e.g. "you used a delta function — here's what delta encoding is",
  3. merges those concepts into a persistent knowledge graph, and
  4. regenerates an interactive HTML graph you can open any time.

Over time you get a browsable map of everything you've picked up while coding — new nodes light up