monitoring-cross-chain-bridges
Monitor cross-chain bridge TVL, volume, fees, and transaction status across networks. Use when researching bridges, comparing routes, or tracking bridge transactions. Trigger with phrases like "monitor bridges", "compare bridge fees", "track bridge tx", "bridge TVL", or "cross-chain transfer status". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill monitoring-cross-chain-bridges --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.
# Cross-Chain Bridge Monitor ## Overview Monitor cross-chain bridge activity across multiple protocols. Track TVL, compare fees and transfer times, and monitor transaction status for bridges like Stargate, Across, Wormhole, and LayerZero. ## Prerequisites Before using this skill, ensure you have: - Python 3.8+ with `requests` library - Internet access for DefiLlama and bridge APIs - Optional: Cust
What does the monitoring-cross-chain-bridges skill do?
Monitor cross-chain bridge TVL, volume, fees, and transaction status across networks. Use when researching bridges, comparing routes, or tracking bridge transactions. Trigger with phrases like "monitor bridges", "compare bridge fees", "track bridge tx", "bridge TVL", or "cross-chain transfer status". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill monitoring-cross-chain-bridges --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 jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 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.
