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".
Best use case
monitoring-cross-chain-bridges is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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".
Teams using monitoring-cross-chain-bridges should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/monitoring-cross-chain-bridges/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How monitoring-cross-chain-bridges Compares
| Feature / Agent | monitoring-cross-chain-bridges | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this 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".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
Best AI Skills for Claude
Explore the best AI skills for Claude and Claude Code across coding, research, workflow automation, documentation, and agent operations.
ChatGPT vs Claude for Agent Skills
Compare ChatGPT and Claude for AI agent skills across coding, writing, research, and reusable workflow execution.
SKILL.md Source
# 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: Custom RPC URLs for on-chain verification
## Commands
### tvl - Bridge TVL Rankings
```bash
python bridge_monitor.py tvl --limit 20
```
Shows bridges ranked by Total Value Locked.
### bridges - List All Bridges
```bash
python bridge_monitor.py bridges
python bridge_monitor.py bridges --chain arbitrum
```
Lists bridges by 24h volume with optional chain filter.
### detail - Bridge Details
```bash
python bridge_monitor.py detail --bridge stargate
```
Shows detailed info including volume, chains, and TVL breakdown.
### compare - Compare Routes
```bash
python bridge_monitor.py compare --source ethereum --dest arbitrum --amount 1000 --token USDC # 1000: 1 second in ms
```
Compares fees and transfer times across bridges for a route.
### tx - Track Transaction
```bash
python bridge_monitor.py tx --tx-hash 0x...
python bridge_monitor.py tx --tx-hash 0x... --bridge wormhole
```
Tracks bridge transaction status across protocols.
### chains - List Chains
```bash
python bridge_monitor.py chains
```
Shows all supported chains.
### protocols - List Protocols
```bash
python bridge_monitor.py protocols
```
Shows supported bridge protocols with their chains.
## Instructions
1. **Check bridge TVL rankings**:
```bash
cd ${CLAUDE_SKILL_DIR}/scripts
python bridge_monitor.py tvl
```
2. **Compare bridge routes** before transferring:
```bash
python bridge_monitor.py compare -s ethereum -d base -a 5000 -t USDC # 5000: bridge transfer amount in USD
```
3. **Get bridge details** for research:
```bash
python bridge_monitor.py detail --bridge across
```
4. **Track a transaction**:
```bash
python bridge_monitor.py tx --tx-hash 0x1234...
```
5. **Export to JSON** for analysis:
```bash
python bridge_monitor.py -f json bridges > bridges.json
```
## Supported Bridges
| Bridge | Type | Avg Time | Typical Fee |
|--------|------|----------|-------------|
| Wormhole | Messaging | ~15 min | ~0.1% |
| LayerZero | Messaging | ~3 min | ~0.06% |
| Stargate | Liquidity | ~2 min | ~0.06% |
| Across | Liquidity | ~1 min | ~0.04% |
## Supported Chains
- Ethereum, BSC, Polygon, Arbitrum, Optimism
- Base, Avalanche, Fantom, Solana (Wormhole)
- 45+ total chains via DefiLlama
## Output
- **TVL rankings**: Bridges sorted by locked value
- **Fee comparison**: Side-by-side fee and time estimates
- **TX status**: Source/destination confirmation status
- **JSON format**: Structured data with `-f json` flag
## Error Handling
See `${CLAUDE_SKILL_DIR}/references/errors.md` for comprehensive error handling including:
- API unavailability and fallback behavior
- Transaction tracking edge cases
- Rate limiting mitigation
## Examples
See `${CLAUDE_SKILL_DIR}/references/examples.md` for detailed examples including:
- Finding best route for large transfers
- Monitoring transactions after bridging
- Research workflows for bridge safety
## Resources
- [DefiLlama Bridges](https://defillama.com/bridges) - Bridge TVL and volume
- [Wormhole Scan](https://wormholescan.io/) - Wormhole transaction explorer
- [LayerZero Scan](https://layerzeroscan.com/) - LayerZero message explorer
- [Across Protocol](https://across.to/) - Optimistic bridgeRelated Skills
langchain-webhooks-events
Implement LangChain callback handlers, streaming, webhooks, Server-Sent Events (SSE), and WebSocket integration. Trigger: "langchain callbacks", "langchain webhooks", "langchain events", "langchain streaming", "langchain SSE", "WebSocket LLM".
langchain-upgrade-migration
Upgrade LangChain SDK versions safely with import path migration, LCEL conversion from legacy chains, and agent API updates. Trigger: "upgrade langchain", "langchain migration", "langchain breaking changes", "update langchain version", "langchain 0.3", "langchain deprecation".
langchain-security-basics
Apply LangChain security best practices for production LLM apps. Use when securing API keys, preventing prompt injection, sandboxing tool execution, or validating LLM outputs. Trigger: "langchain security", "prompt injection", "langchain secrets", "secure langchain", "LLM security", "safe tool execution".
langchain-sdk-patterns
Apply production-ready LangChain SDK patterns for structured output, fallbacks, batch processing, streaming, and caching. Trigger: "langchain SDK patterns", "langchain best practices", "idiomatic langchain", "langchain architecture", "withStructuredOutput", "withFallbacks", "abatch".
langchain-reference-architecture
Implement LangChain reference architecture for production systems: layered design, provider abstraction, chain registry, RAG pipelines, and multi-agent orchestration. Trigger: "langchain architecture", "langchain design patterns", "langchain scalable", "langchain enterprise", "LLM architecture".
langchain-rate-limits
Implement LangChain rate limiting, retry strategies, and backoff. Use when handling API rate limits, controlling request throughput, or implementing concurrency-safe batch processing. Trigger: "langchain rate limit", "langchain throttling", "langchain backoff", "langchain retry", "API quota", "429 error".
langchain-prod-checklist
Production readiness checklist for LangChain applications. Use when preparing for launch, validating deployment readiness, or auditing existing production LangChain systems. Trigger: "langchain production", "langchain prod ready", "deploy langchain", "langchain launch checklist", "go-live langchain".
langchain-performance-tuning
Optimize LangChain application performance: latency, throughput, streaming, caching, batch processing, and connection pooling. Trigger: "langchain performance", "langchain optimization", "langchain latency", "langchain slow", "speed up langchain".
langchain-observability
Set up comprehensive observability for LangChain applications with LangSmith tracing, OpenTelemetry, Prometheus metrics, and alerts. Trigger: "langchain monitoring", "langchain metrics", "langchain observability", "langchain tracing", "LangSmith", "langchain alerts".
langchain-multi-env-setup
Configure LangChain across dev/staging/production environments with isolated API keys, environment-specific settings, and secrets. Trigger: "langchain environments", "langchain staging", "langchain dev prod", "environment configuration", "langchain env setup".
langchain-migration-deep-dive
Migrate to LangChain from raw OpenAI SDK, LlamaIndex, or custom LLM code. Covers codebase assessment, side-by-side validation, RAG migration, agent migration, and feature-flagged gradual rollout. Trigger: "migrate to langchain", "langchain refactor", "legacy LLM migration", "replace openai SDK with langchain", "llamaindex to langchain".
langchain-local-dev-loop
Configure LangChain local development workflow with testing and mocks. Use when setting up dev environment, creating test fixtures with mocked LLMs, or establishing a rapid iteration workflow for LangChain apps. Trigger: "langchain dev setup", "langchain local development", "langchain testing", "langchain mock", "test langchain chains".