Crypto Research logo

Crypto Research

Organization
OpenCMC
crypto-research

Performs comprehensive due diligence on a cryptocurrency using CoinMarketCap MCP data. Use when users ask about a specific coin beyond just its price. This includes questions like "what is [coin]", "is [coin] legit", "analyze [coin]", tokenomics questions, holder distribution, or any request for deep information about a single cryptocurrency. Trigger: "research [coin]", "tell me about [coin]", "should I invest in [coin]", "DYOR [coin]", "is [coin] safe", "/crypto-research"

Overview

PublisherOpenCMC
Repositoryskills-for-ai-agents-by-CoinMarketCap
Skill namecrypto-research
Stars
76
Forks
21
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by OpenCMC on GitHub. Read the source before you install it.

Installation

Install the Crypto Research AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/OpenCMC/skills-for-ai-agents-by-CoinMarketCap/tree/main/skills/crypto-research
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/OpenCMC/skills-for-ai-agents-by-CoinMarketCap.git /tmp/skills-for-ai-agents-by-CoinMarketCap
mkdir -p .claude/skills
cp -r /tmp/skills-for-ai-agents-by-CoinMarketCap/skills/crypto-research .claude/skills/crypto-research
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Crypto Research in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Crypto Research on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Crypto Research is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Crypto Research Skill

Perform comprehensive due diligence on any cryptocurrency by systematically gathering and analyzing data from multiple CMC MCP tools.

Prerequisites

Before starting research, verify the CMC MCP tools are available. If tools fail or return connection errors, ask the user to set up the MCP connection:

json
{
  "mcpServers": {
    "cmc-mcp": {
      "url": "https://mcp.coinmarketcap.com/mcp",
      "headers": {
        "X-CMC-MCP-API-KEY": "your-api-key"
      }
    }
  }
}

Get your API key from https://pro.coinmarketcap.com/login

Core Principle

Thorough research requires looking at a token from multiple angles. Fetch all relevant data before forming conclusions. Surface both green flags and red flags.

Research Workflow

Step 1: Identify the Token

Call search_cryptos with the token name/symbol to get the CMC ID. If multiple results, clarify with the user which one they mean.

Step 2: Basic Information

Call get_crypto_info to get:

  • Project description and category
  • Launch date
  • Website, social links, documentation
  • Tags (DeFi, Layer 1, Meme coin, etc.)

Step 3: Market Data

Call get_crypto_quotes_latest to get:

  • Current price and market cap
  • 24h, 7d, 30d, 90d, 1y price changes
  • Trading volume and volume change
  • Circulating supply vs max supply
  • Market cap rank

Step 4: Holder Analysis

Call get_crypto_metrics to get:

  • Address distribution by holding value ($0-1k, $1k-100k, $100k+)
  • Whale concentration (% held by top holders)
  • Holder behavior (traders vs cruisers vs long-term holders)

Step 5: Technical Analysis

Call get_crypto_technical_analysis to get:

  • Moving averages (7d, 30d, 200d SMA/EMA)
  • RSI (oversold < 30, overbought > 70)
  • MACD signal
  • Fibonacci levels and pivot points

Step 6: Recent News

Call get_crypto_latest_news with limit 5-10 to get recent headlines and sentiment.

Step 7: Deep Dive (if needed)

Call search_crypto_info to answer specific questions about the token's technology, use case, or mechanics.

Analysis Framework

After gathering data, evaluate across these dimensions:

Fundamentals

  • What problem does it solve?
  • Is there a working product?
  • How does it compare to competitors?
  • Is the use case sustainable?

Tokenomics

  • What % of max supply is circulating?
  • Is there inflation or deflation?
  • Are there large unlocks coming?
  • How concentrated is ownership?

Market Position

  • Market cap rank and trajectory
  • Volume relative to market cap (healthy turnover?)
  • Price trend (accumulation or distribution?)

Risk Factors

Red flags and why they matter:

  • Extreme whale concentration (>10% held by few addresses): Large holders can dump and crash price instantly
  • Low holder count relative to market cap: Thin holder base means price is easily manipulated
  • Declining holder numbers: Smart money may be exiting while retail holds bags
  • Negative news sentiment: Ongoing negative coverage often precedes further declines
  • Price down >80% from ATH with no recovery: May indicate fundamental problems, not just market cycles
  • Very low trading volume: Hard to exit positions without significant slippage

Green flags and why they matter:

  • Growing holder base: Organic adoption suggests real demand, not manufactured hype
  • High % of long-term holders: Conviction from holders who have done research, less sell pressure
  • Healthy distribution across address sizes: Resilient to any single actor manipulating price
  • Active development and news flow: Team is shipping, project is alive and evolving
  • Strong community engagement: Network effects build value and create sustainable demand

Report Structure

Present findings in this format:

## [Token Name] Research Report

### Overview
- Category: [DeFi/Layer 1/Meme/etc.]
- Launched: [Date]
- Rank: #XX by market cap

### Market Data
- Price: $X.XX
- Market Cap: $X.XX B
- 24h Volume: $X.XX M
- Performance: 24h X.X% | 7d X.X% | 30d X.X% | 1y X.X%

### Supply
- Circulating: X.XX M (XX% of max)
- Max Supply: X.XX M

### Holder Analysis
- Total Addresses: X.XX M
- Whale Concentration: X.X%
- Long-term Holders: XX%
- Holder Trend: Growing/Stable/Declining

### Technical Outlook
- RSI: XX (oversold/neutral/overbought)
- Trend: Above/Below 200d MA
- Key Support: $X.XX
- Key Resistance: $X.XX

### Recent News
- [Headline 1]
- [Headline 2]
- ...

### Green Flags
- [List positive indicators]

### Red Flags
- [List concerns]

### Summary
[2-3 sentence synthesis of the research findings]

Important Notes

  • This is research, not financial advice
  • Always present both positive and negative findings
  • If data is missing or unavailable, note it explicitly
  • For very new tokens, some metrics may be limited

Handling Tool Failures

If individual tools fail during research:

  1. search_cryptos fails: Cannot proceed without token ID. Ask user to verify spelling or try the contract address.
  2. get_crypto_info fails: Skip Overview section, note "Project details unavailable" in report.
  3. get_crypto_quotes_latest fails: Report is incomplete without price data. Retry once, then note "Market data unavailable."
  4. get_crypto_metrics fails: Skip Holder Analysis section, note "Distribution data unavailable."
  5. get_crypto_technical_analysis fails: Skip Technical Outlook section, note "Technical analysis unavailable."
  6. get_crypto_latest_news fails: Skip Recent News section, proceed with other data.

Always complete the report with available data rather than abandoning the research entirely.

Frequently asked questions

What does the Crypto Research AI skill do?

Performs comprehensive due diligence on a cryptocurrency using CoinMarketCap MCP data. Use when users ask about a specific coin beyond just its price. This includes questions like "what is [coin]", "is [coin] legit", "analyze [coin]", tokenomics questions, holder distribution, or any request for deep information about a single cryptocurrency. Trigger: "research [coin]", "tell me about [coin]", "should I invest in [coin]", "DYOR [coin]", "is [coin] safe", "/crypto-research"

Why use Crypto Research on TypingMind?

Because you install it once and use it with any model. Crypto Research is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Crypto Research in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OpenCMC/skills-for-ai-agents-by-CoinMarketCap/tree/main/skills/crypto-research. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Crypto Research?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Crypto Research?

As many as you like. As long as a model supports skills, you can use Crypto Research with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Crypto Research AI skill free?

Yes. It is published on GitHub by OpenCMC under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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