Provides documentation and support for integrating the CoinGecko cryptocurrency API.

Install

mkdir -p .claude/skills/coingecko && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/6253" && unzip -o skill.zip -d .claude/skills/coingecko && rm skill.zip

Installs to .claude/skills/coingecko

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

CoinGecko API documentation - cryptocurrency market data API, price feeds, market cap, volume, historical data. Use when integrating CoinGecko API, building crypto price trackers, or accessing cryptocurrency market data.
220 chars✓ has a “when” trigger
Beginner

Key capabilities

  • Access cryptocurrency market data
  • Retrieve price feeds and market cap
  • Fetch historical exchange data
  • Query NFT and contract information
  • Implement crypto price tracking

How it works

The skill provides organized documentation and reference files extracted from official sources to guide API integration and implementation.

Inputs & outputs

You give it
CoinGecko API request parameters
You get back
Cryptocurrency market data or price information

When to use coingecko

  • Build a crypto price tracker
  • Fetch market volume data
  • Integrate historical exchange data

About this skill

Coingecko Skill

Comprehensive assistance with coingecko development, generated from official documentation.

When to Use This Skill

This skill should be triggered when:

  • Working with coingecko
  • Asking about coingecko features or APIs
  • Implementing coingecko solutions
  • Debugging coingecko code
  • Learning coingecko best practices

Quick Reference

Common Patterns

Quick reference patterns will be added as you use the skill.

Reference Files

This skill includes comprehensive documentation in references/:

  • authentication.md - Authentication documentation
  • coins.md - Coins documentation
  • contract.md - Contract documentation
  • exchanges.md - Exchanges documentation
  • introduction.md - Introduction documentation
  • market_data.md - Market Data documentation
  • nfts.md - Nfts documentation
  • other.md - Other documentation
  • pricing.md - Pricing documentation
  • reference.md - Reference documentation
  • trending.md - Trending documentation

Use view to read specific reference files when detailed information is needed.

Working with This Skill

For Beginners

Start with the getting_started or tutorials reference files for foundational concepts.

For Specific Features

Use the appropriate category reference file (api, guides, etc.) for detailed information.

For Code Examples

The quick reference section above contains common patterns extracted from the official docs.

Resources

references/

Organized documentation extracted from official sources. These files contain:

  • Detailed explanations
  • Code examples with language annotations
  • Links to original documentation
  • Table of contents for quick navigation

scripts/

Add helper scripts here for common automation tasks.

assets/

Add templates, boilerplate, or example projects here.

Notes

  • This skill was automatically generated from official documentation
  • Reference files preserve the structure and examples from source docs
  • Code examples include language detection for better syntax highlighting
  • Quick reference patterns are extracted from common usage examples in the docs

Updating

To refresh this skill with updated documentation:

  1. Re-run the scraper with the same configuration
  2. The skill will be rebuilt with the latest information

When not to use it

  • Non-cryptocurrency data tasks
  • General web API development

Limitations

  • Documentation accuracy depends on source extraction
  • Requires internet access for live API calls

How it compares

It provides a curated, offline-accessible reference of official API documentation rather than requiring manual searching of external web docs.

Compared to similar skills

coingecko side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
coingecko (this skill)18moNo flagsBeginner
segment-cdp26moNo flagsIntermediate
developing-in-lightdash128dReviewIntermediate
wellally-tech16moReviewIntermediate

Try saying

Example prompts that trigger this skill in your AI assistant.

You might also like

segment-cdp

davila7

Expert patterns for Segment Customer Data Platform including Analytics.js, server-side tracking, tracking plans with Protocols, identity resolution, destinations configuration, and data governance best practices. Use when: segment, analytics.js, customer data platform, cdp, tracking plan.

212

developing-in-lightdash

lightdash

Build, configure, and deploy Lightdash analytics projects. Supports both dbt projects with embedded Lightdash metadata and pure Lightdash YAML projects without dbt. Create metrics, dimensions, charts, and dashboards using the Lightdash CLI.

112

wellally-tech

huifer

Integrate digital health data sources (Apple Health, Fitbit, Oura Ring) and connect to WellAlly.tech knowledge base. Import external health device data, standardize to local format, and recommend relevant WellAlly.tech knowledge base articles based on health data. Support generic CSV/JSON import, provide intelligent article recommendations, and help users better manage personal health data.

14

groq-cost-tuning

jeremylongshore

Optimize Groq costs through tier selection, sampling, and usage monitoring. Use when analyzing Groq billing, reducing API costs, or implementing usage monitoring and budget alerts. Trigger with phrases like "groq cost", "groq billing", "reduce groq costs", "groq pricing", "groq expensive", "groq budget".

12

omero-integration

davila7

Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.

12

kegg-database

davila7

Direct REST API access to KEGG (academic use only). Pathway analysis, gene-pathway mapping, metabolic pathways, drug interactions, ID conversion. For Python workflows with multiple databases, prefer bioservices. Use this for direct HTTP/REST work or KEGG-specific control.

11

Search skills

Search the agent skills registry