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What are agent skills?

Agent skills are reusable instruction files that teach AI agents how to use a specific API. When you install the CoinPaprika skill, your AI agent gets a complete reference of every endpoint, CLI command, response format, and common workflow — so it can make correct API calls without guessing.
Skills work with Claude Code, Cursor, Cline, OpenCode, and many other AI agents. One install command. No API key needed for the free tier.

What’s included

The CoinPaprika skill installs the following files into your project: Your AI agent reads SKILL.md automatically. The reference files are loaded on demand when the agent needs deeper detail.

Install

1

Run the install command

This copies the skill files into .claude/skills/coinpaprika-api/ in your current project.
Terminal output showing npx skills add github.com/coinpaprika/skills/ --skill coinpaprika-api completing successfully
To install both CoinPaprika and DexPaprika skills at once, drop the --skill flag:
2

Check the installed files

Your project directory should now contain:
File tree showing .claude/skills/coinpaprika-api/ directory containing SKILL.md and references folder with openapi.yml and cli-reference.md
3

Restart your agent

Restart Claude Code (or your AI tool) so it picks up the new skill files. Skills are discovered at startup.

Verify it works

After restarting, ask your AI agent a CoinPaprika question:
The agent should call https://api.coinpaprika.com/v1/tickers/btc-bitcoin and return the price. If it does, the skill is loaded and working. Try a more specific query:
Claude Code answering a CoinPaprika query about Bitcoin price after skill installation, showing live API data

Example queries

Once the skill is loaded, your agent knows the full CoinPaprika API. Here are things you can ask:

Price and market data

Historical data

Search and discovery

CLI commands

The skill teaches your agent to use coinpaprika-cli if it’s installed:

Currency conversion


Skills vs MCP server vs Claude Code plugin

You can combine approaches. Install the skill for API knowledge and connect the MCP server for tool-based access. They complement each other.

Manage skills


Troubleshooting

Restart your AI agent (Claude Code, Cursor, etc.). Skills are discovered at startup. If it still doesn’t load, verify the files are in the right location:
You should see SKILL.md and a references/ directory.
The skills CLI requires Node.js 16+. Check your version:
If Node.js is installed and it still fails, try:
Be specific in your prompt. Instead of “What’s the price of Bitcoin?”, try “Using the CoinPaprika API, get the ticker for btc-bitcoin.” The agent should recognize the skill context and use the correct endpoints.
Skills must be direct children of .claude/skills/. If the files ended up nested differently (e.g., .claude/skills/skills/coinpaprika-api/), move the coinpaprika-api folder so it sits directly inside .claude/skills/.

What’s next?

MCP Server

Add managed MCP tools to Claude Desktop, Cursor, or VS Code

Claude Code Plugin

Get the full plugin bundle with MCP tools, agents, and skills

CLI

Query crypto data from the terminal with coinpaprika-cli

REST API Reference

Complete endpoint documentation with interactive playground

Need help?

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Connect with our community for real-time support and discussions

Direct Support

Contact our team for technical assistance and custom integrations

FAQs

Not for the free tier. The free CoinPaprika API provides 20,000 calls/month and covers 2,000 assets with no key required. For paid plans (Starter $99/mo and up), you’ll need an API key — the skill includes instructions for both.
Skills give your agent knowledge (API docs, CLI commands, common patterns). MCP gives your agent tools (callable functions that return live data). Skills make your agent smarter about the API; MCP does the calling for it.
Claude Code, Cursor, Cline, OpenCode, Aider, and many others. The skills CLI auto-detects your agent, or you can target one explicitly with the --agent flag. See the full list of supported agents.
Yes. Install the skill for deep API knowledge and connect the MCP server for tool-based access. They complement each other well.