Analyze cryptocurrency fundamentals, on-chain metrics, and valuation models.
npx skills add https://github.com/chuhemiao/portfolio --skill crypto-research-chuhemiao
Please help me install this Agent Skill. Skill: crypto-research Source: https://github.com/chuhemiao/portfolio/tree/main/src/data Command: npx skills add https://github.com/chuhemiao/portfolio --skill crypto-research-chuhemiao
Crypto research and valuation often require assembling disparate data sources and models; this skill provides structured, repeatable analysis on demand.
Prompt me with a crypto asset you want researched, and I will generate a full valuation report.
High-intent search queries and answers about installing and using this skill.
Crypto valuation requires assembling fundamentals, on-chain metrics, and tokenomics to build DCF or multiples-based models. This process applies scenario analysis and risk checks to generate structured investment theses for tokens and protocols.
Comprehensive cryptocurrency research needs protocol fundamentals, on-chain metrics, tokenomics, and competitive landscape data. Applying these data points to DCF or multiples models enables scenario planning and accurate risk assessment.
Yes, evaluating stablecoin protocols and cross-chain routing mechanisms uses DCF models and multiples-based analysis. Specialized chain-abstraction research agents deep-dive into Omni-CDP, satUSD, and protocol-level economic design for risk assessment.
Crypto research covers competitive landscape and catalysts for assets like Bitcoin and Ethereum. Data collection includes fundamentals and on-chain metrics, applying scenario analysis to produce structured investment theses and risk assessments.
The best way to structure a cryptocurrency investment thesis applies DCF and multiples-based valuation models. Combining fundamentals, tokenomics, and scenario analysis produces a structured risk assessment for DeFi projects and tokens.
Use multiples-based valuation instead of DCF when comparing crypto assets within a competitive landscape. Both methods support scenario planning and risk checks, but multiples provide relative benchmarking across protocols and DeFi projects.
hmzainjamilGenerate comprehensive cryptocurrency research reports from project, tokenomics, on-chain, and market data.
colek42Critique architecture and code by questioning assumptions and validating evidence.
alsk1992Retrieve real-time and historical market data from prediction market platforms via WebSocket and REST APIs.
kunallimayeAnalyze DeFi protocol risks, invariants, MEV exposure, and governance patterns.
