llama-analyst
✓DeFi fundamentals and cross-chain analytics using DefiLlama-style data. Use when you want to find undervalued protocols, screen by TVL/revenue growth vs token price, compare sectors, or run data-driven crypto research beyond pure memes.
Installation
SKILL.md
Inspired by tools like LlamaAI (Dynamo DeFi walkthrough), this skill focuses on systematic, data-first crypto investing instead of pure narrative or meme trading.
Data Sources (via data-orchestrator): | Source | Data Type | Update Frequency | Quality |
| DefiLlama API | TVL, revenue, yields | 15 min | 92/100 | | Dune Analytics | Custom queries | Hourly | 90/100 | | Token Terminal | Revenue, P/E | Daily | 95/100 | | Chain-specific RPCs | Real-time metrics | Real-time | 98/100 |
DeFi fundamentals and cross-chain analytics using DefiLlama-style data. Use when you want to find undervalued protocols, screen by TVL/revenue growth vs token price, compare sectors, or run data-driven crypto research beyond pure memes. Source: dreamineering/meme-times.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/dreamineering/meme-times --skill llama-analyst- Source
- dreamineering/meme-times
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is llama-analyst?
DeFi fundamentals and cross-chain analytics using DefiLlama-style data. Use when you want to find undervalued protocols, screen by TVL/revenue growth vs token price, compare sectors, or run data-driven crypto research beyond pure memes. Source: dreamineering/meme-times.
How do I install llama-analyst?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/dreamineering/meme-times --skill llama-analyst Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/dreamineering/meme-times
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01