Crypto Research
Crypto & DeFi Research involves real-time analysis of on-chain data, smart contract audits, liquidity risk modeling, and cross-protocol composability mapping — tasks that are time-intensive, technically demanding, and rapidly evolving. The caesar-research skill enables deep, iterative querying of blockchain datasets and regulatory/technical documentation, while agent-lightning fine-tunes research workflows via reinforcement learning to prioritize high-impact signals (e.g., abnormal token flows or governance vote anomalies) and adapt to shifting threat models.
What this workflow covers
This page groups multiple AI agent skills into one practical workflow. Use it when you care about the outcome, not just a single tool name. Start with the recommended stack below, then open the related articles for examples and implementation ideas.
Suggested workflow
- 1Clarify the task and success criteria for Crypto Research.
- 2Pick 3–5 complementary skills instead of relying on one generic tool.
- 3Run the workflow, review output quality, and replace weak skills with better matches.