Learn Claude Code Model Card
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Learn Claude Code Model Card
| Field | Value |
|---|---|
| Repository | shareAI-lab/learn-claude-code |
| Category | Claude Code Skill Learning Curriculum |
| Stars / forks snapshot | 63000 / 10300 |
| Language | Markdown |
| License | MIT |
| Raw capture | raw-github/shareai-lab_learn-claude-code.md |
| Updated by | hourly public metadata update, 2026-05-27 22:00 +0800 |
1. Role in Self Evolve
learn-claude-code provides a staged curriculum and practical exercises for Claude Code users to build reliable agent coding workflows. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.
2. Working Principle
structured learning path -> daily skill tasks with runnable examples -> command and workflow rehearsal -> advanced orchestration patterns for practical coding-agent productivity
3. Evidence Path
web-observed GitHub page showed 63k stars, 10.3k forks, 87 commits, MIT license, and README curriculum structure from setup to advanced automation practices. Shell GitHub API access remained blocked by DNS and local gh auth was invalid, so this card treats the snapshot as web-observed rather than API-verified.
4. Teaching Use
Use this card to explain Claude Code Skill Learning Curriculum: it shows how harness/runtime/benchmark layers convert agent behavior into reproducible and auditable engineering workflows.
5. Limits
The repository was not cloned in this iteration; no benchmark run, plugin install, workflow execution, or agent loop experiment was executed. Counts and claims are visible public-page/search signals unless independently revalidated later.