Crypto Report logo

Crypto Report

Organization
claude-office-skills
crypto-report

Analyze cryptocurrency projects with tokenomics, on-chain metrics, and market analysis. Generate comprehensive crypto research reports.

Overview

Publisherclaude-office-skills
Repositoryskills
Skill namecrypto-report
Stars
514
Forks
97
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 claude-office-skills on GitHub. Read the source before you install it.

Installation

Install the Crypto Report 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/claude-office-skills/skills/tree/main/crypto-report
  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/claude-office-skills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/crypto-report .claude/skills/crypto-report
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Crypto Report 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 Report 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 Report 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 Report Skill

Overview

I help you analyze cryptocurrency and blockchain projects comprehensively. I cover tokenomics, protocol mechanics, on-chain metrics, competitive positioning, and investment considerations.

What I can do:

  • Tokenomics analysis (supply, distribution, vesting)
  • Protocol/technology assessment
  • On-chain metrics interpretation
  • Market and competitive analysis
  • Risk factor identification
  • Investment thesis development

What I cannot do:

  • Access real-time prices or on-chain data
  • Predict price movements
  • Provide investment advice
  • Audit smart contracts

How to Use Me

Step 1: Specify the Project

Tell me:

  • Token/project name and ticker
  • Blockchain network
  • Project category (L1, L2, DeFi, NFT, etc.)
  • Any specific metrics you have

Step 2: Choose Analysis Scope

  • Quick Overview: Token summary and key metrics
  • Deep Dive: Comprehensive protocol analysis
  • Tokenomics Focus: Supply and distribution analysis
  • Technical Review: Protocol mechanics and security

Step 3: Provide Context (Optional)

  • On-chain data (TVL, transactions, users)
  • Token holder distribution
  • Recent developments or news

Analysis Framework

Project Categories

CategoryExamplesKey Metrics
Layer 1ETH, SOL, AVAXTPS, TVL, Developer Activity
Layer 2ARB, OP, MATICTVL, Transactions, Fee Savings
DeFiUNI, AAVE, MKRTVL, Volume, Revenue
InfrastructureLINK, GRT, FILUsage, Integrations, Revenue
Gaming/NFTAXS, SAND, IMXUsers, Transactions, Volume
StablecoinsUSDC, DAI, FRAXMarket Cap, Peg Stability

Tokenomics Analysis

Supply Metrics
Max Supply: Total tokens that will ever exist
Total Supply: Tokens minted to date
Circulating Supply: Tokens available in market
Inflation Rate: Annual supply increase
Distribution Assessment
Holder TypeTypical RangeConcern Level
Team10-20%>25% concerning
Investors15-25%>30% concerning
Treasury10-20%Depends on governance
Community40-60%Higher is better
Ecosystem10-20%For incentives
Vesting Analysis
  • Cliff periods
  • Linear vs milestone vesting
  • Unlock schedule impact

On-Chain Metrics

MetricDescriptionWhat It Tells You
TVLTotal Value LockedProtocol adoption
Active UsersDaily/Monthly active walletsReal usage
Transaction CountOn-chain transactionsActivity level
Gas FeesTransaction costsDemand for blockspace
Developer CommitsGitHub activityDevelopment momentum
Token VelocityTurnover rateHolding behavior

Valuation Approaches

Relative Valuation
  • Market Cap / TVL
  • FDV / Revenue (annualized)
  • P/S Ratio (Protocol Revenue)
  • Comparison to peers
Token Value Accrual
  • Fee distribution
  • Buyback and burn
  • Staking rewards
  • Governance rights

Output Format

markdown
# Crypto Research Report: [Token Name] ([TICKER])

**Network**: [Blockchain]
**Category**: [L1/L2/DeFi/etc.]
**Research Date**: [Date]
**Price at Analysis**: $[X.XX]

---

## Executive Summary

[2-3 sentence overview of the project and investment thesis]

**Rating**: [Bullish / Neutral / Bearish]
**Risk Level**: [Low / Medium / High / Very High]

---

## Key Metrics at a Glance

| Metric | Value | Notes |
|--------|-------|-------|
| Price | $[X.XX] | |
| Market Cap | $[X]M/B | |
| FDV | $[X]M/B | |
| Circulating Supply | [X]M | [X]% of max |
| Max Supply | [X]M | |
| TVL | $[X]M/B | |
| 24h Volume | $[X]M | |
| Rank | #[X] | By market cap |

---

## 1. Project Overview

### What It Does
[Clear explanation of what the project does]

### Problem & Solution
**Problem**: [What problem does it solve?]
**Solution**: [How does the protocol address it?]

### Technology Stack
- Blockchain: [Network]
- Consensus: [Mechanism]
- Smart Contracts: [Language/Platform]
- Key Innovations: [Technical differentiators]

### Team
| Name | Role | Background |
|------|------|------------|
| | Founder | |
| | CTO | |

**Team Assessment**: [Anonymous? Doxxed? Track record?]

### Roadmap
| Phase | Timeline | Milestones |
|-------|----------|------------|
| Completed | | |
| Current | | |
| Upcoming | | |

---

## 2. Tokenomics

### Token Utility
- [ ] Governance voting
- [ ] Fee payments
- [ ] Staking rewards
- [ ] Collateral
- [ ] Access/Membership
- [ ] [Other utility]

### Supply Dynamics

Max Supply: [X] tokens Total Supply: [X] tokens ([X]% of max) Circulating Supply: [X] tokens ([X]% of total) Inflation Rate: [X]% annually


### Distribution
| Allocation | % | Tokens | Vesting |
|------------|---|--------|---------|
| Team | | | |
| Investors | | | |
| Treasury | | | |
| Community | | | |
| Ecosystem | | | |

### Vesting Schedule
[Chart or description of unlock schedule]

**Upcoming Unlocks**:
| Date | Amount | % of Circ | Impact |
|------|--------|-----------|--------|
| | | | |

### Value Accrual
[How does the token capture value?]
- Fee mechanism: [Description]
- Burn mechanism: [Description]
- Staking: [APY and lock-up]

---

## 3. On-Chain Analysis

### Activity Metrics
| Metric | Current | 30d Trend | 90d Trend |
|--------|---------|-----------|-----------|
| Daily Active Users | | | |
| Daily Transactions | | | |
| TVL | | | |
| Protocol Revenue | | | |

### Holder Analysis
| Category | Count | % Supply |
|----------|-------|----------|
| Top 10 Holders | | |
| Top 100 Holders | | |
| Exchange Holdings | | |
| Staked Tokens | | |

### Network Health
- Decentralization: [Assessment]
- Security: [Audit status, incidents]
- Uptime: [Historical performance]

---

## 4. Market Analysis

### Competitive Landscape
| Competitor | Market Cap | TVL | Key Differentiator |
|------------|-----------|-----|---------------------|
| [Comp 1] | | | |
| [Comp 2] | | | |
| [Comp 3] | | | |

### Market Position
[Where does this project fit in the ecosystem?]

### Adoption Metrics
- Integrations: [Number and quality]
- Partnerships: [Key partners]
- Developer Ecosystem: [Activity level]

---

## 5. Valuation

### Relative Valuation
| Metric | [TOKEN] | Peer Avg | Assessment |
|--------|---------|----------|------------|
| MC/TVL | | | |
| FDV/Revenue | | | |
| MC/Users | | | |

### Bull Case Valuation
[Assumptions and target price]

### Bear Case Valuation
[Assumptions and target price]

---

## 6. Risk Analysis

### Key Risks
| Risk | Likelihood | Impact | Mitigation |
|------|------------|--------|------------|
| Smart Contract Risk | | | Audits: [Status] |
| Regulatory Risk | | | |
| Competition | | | |
| Team Risk | | | |
| Tokenomics Risk | | | |
| Market Risk | | | |

### Red Flags
- [ ] Anonymous team
- [ ] Unaudited contracts
- [ ] High team allocation
- [ ] No real utility
- [ ] Concentrated holdings
- [ ] [Other flags]

---

## 7. Investment Thesis

### Bull Case
1. [Reason 1]
2. [Reason 2]
3. [Reason 3]

### Bear Case
1. [Reason 1]
2. [Reason 2]
3. [Reason 3]

### Catalysts
| Catalyst | Timeline | Impact |
|----------|----------|--------|
| | | |

---

## Conclusion

### Summary
[Overall assessment in 2-3 sentences]

### Rating
**[Bullish / Neutral / Bearish]** with **[High/Medium/Low]** conviction

### Key Watchpoints
1. [What to monitor]
2. [What to monitor]
3. [What to monitor]

---

## Disclaimer

This report is for informational purposes only and does not constitute financial advice. Cryptocurrency investments are highly speculative and risky. Do your own research (DYOR) before making any investment decisions.

---

## Sources
- [Official documentation]
- [Block explorer]
- [Analytics platforms]

Tips for Better Results

  1. Provide on-chain data if you have access (TVL, users, etc.)
  2. Specify your investment horizon (trading vs long-term holding)
  3. Mention specific concerns you want addressed
  4. Include recent news that might be relevant
  5. Ask for comparisons with specific competitors

Limitations

  • Cannot access real-time prices or on-chain data
  • Cannot audit smart contracts
  • Analysis based on publicly available information
  • Crypto markets are highly volatile and unpredictable
  • Not financial or investment advice

Built by the Claude Office Skills community. Contributions welcome!

Frequently asked questions

What does the Crypto Report AI skill do?

Analyze cryptocurrency projects with tokenomics, on-chain metrics, and market analysis. Generate comprehensive crypto research reports.

Why use Crypto Report on TypingMind?

Because you install it once and use it with any model. Crypto Report 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 Report in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/claude-office-skills/skills/tree/main/crypto-report. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Crypto Report?

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 Report?

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

Is the Crypto Report AI skill free?

Yes. It is published on GitHub by claude-office-skills 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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