learn-likecc
Learn Claude Code internals through courses, simulators, and rebuilds
All Skills in This Repository (6)
Pure Emerald Level Indicatorscurate-external-feed-topics
Classify RSS feed items as RAG-hot or Agent-hot and patch HTML tables.
zhihu-copy-diagnose
Diagnose Zhihu Markdown drafts for AI phrasing, readability, and evidence strength.
full_unpackd_rep
Unpack a local reference repository into structured topic pages and navigation updates.
repo-release-governance
Automate repository task governance for requirements and release tracking.
skillsmp-find-install
Search SkillsMP, compare candidate skills, verify GitHub repos, and install into Claude Code or Codex.
autoresearch
Automate goal-directed iteration with dry-run verification and Git-based memory.
Frequently Asked Questions
FAQPage SchemaHow to install learn-likecc?βΌ
Run `npx skills add Harzva/learn-likecc --all -g -y` in your terminal to install all skills in this suite globally.
What can I learn from learn-likecc?βΌ
You can study how Claude Code works internally, including its agent loop, tool system, permission model, MCP protocol, and context compression, through a 12-chapter course and interactive simulators.
Does learn-likecc include a runnable Claude Code rebuild?βΌ
Yes. The ccsource/claude-code-rebuild folder contains a learning-grade TypeScript CLI you can run locally to study the runtime chain, though it is not meant for production use.
Can I switch models in the LikeCode experiment?βΌ
Yes. The project demonstrates configurable model routing, including a verified MiniMax route through SiliconFlow, so you can point the CLI at alternative providers.
What do the included skills automate?βΌ
They automate editorial and maintenance work for the course site, such as turning keywords into topic drafts, curating hot-topic feeds, generating Zhihu articles, and auditing copy before publishing.
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