computer-network-learning
Use this skill whenever the user is learning computer networking, computer networks, TCP/IP, OSI, subnetting, routing, switching, DNS, HTTP, TCP, UDP, DHCP, TLS, NAT, congestion control, network security basics, or asks for a chapter summary, learning path, concept explanation, study notes, revision plan, or course help for a networking class.
Profile →npx skills add mingchen666/Reviva --skill computer-network-learning --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Computer Network Learning Skill Help users learn computer networking as a course, not as isolated trivia. Build a clear path from concepts to packet behavior, experiments, practice questions, and review artifacts. ## When To Use Use this skill for: - computer network course learning,期末复习, 408/考研网络基础, classroom assignments, lab preparation; - OSI/TCP-IP models, encapsulation, multiplexing/demulti
What does the computer-network-learning skill do?
Use this skill whenever the user is learning computer networking, computer networks, TCP/IP, OSI, subnetting, routing, switching, DNS, HTTP, TCP, UDP, DHCP, TLS, NAT, congestion control, network security basics, or asks for a chapter summary, learning path, concept explanation, study notes, revision plan, or course help for a networking class.
How do I install it?
Run `npx skills add mingchen666/Reviva --skill computer-network-learning --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mingchen666/Reviva, a repository with 181 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.