Agent Skills

What Are Agent Skills

Agent Skills are structured instruction packages (SKILL.md files) that teach AI coding assistants how to use ChainStream’s on-chain data and DeFi capabilities. Unlike raw API docs, skills provide decision trees, workflows, safety rules, and error recovery — everything an AI agent needs to operate autonomously.

chainstream-data

Tool pattern — read-only on-chain data: token analytics, market trends, wallet profiling, WebSocket streams

chainstream-graphql

Tool pattern — custom GraphQL analytics over 27 cubes: cross-cube JOINs, aggregations, time-series

chainstream-defi

Process pattern — irreversible DeFi execution: swap, launchpad, transaction broadcast

Skills vs MCP vs SDK

Layer	What It Is	Best For
Agent Skills	High-level AI instruction set (SKILL.md) with decision trees, workflows, and safety rules	AI coding assistants (Cursor, Claude Code, Codex)
MCP Server	Model Context Protocol — 17 tools callable by AI models	AI chat assistants (Claude Desktop, ChatGPT)
CLI	Command-line tool with wallet and x402 payment	Scripts, CI/CD, AI agents needing DeFi
SDK	TypeScript/Python/Go/Rust client library	Custom applications

Skills sit at the highest abstraction layer — they reference MCP tools and CLI commands internally, routing the AI agent to the right tool for each task.

Routing Decision Tree

Skill Comparison

Aspect	chainstream-data	chainstream-graphql	chainstream-defi
Pattern	Tool (read-only)	Tool (read-only)	Process (execute)
Risk Level	Low	Low	High (irreversible)
Wallet Required	No (API Key sufficient)	No (API Key sufficient)	Yes (signing needed)
MCP Support	Full (17 tools)	CLI-driven	Tools available, but execution requires wallet on host
User Confirmation	Not required	Not required	Mandatory before every transaction
Typical Actions	Search, analyze, track, stream	JOIN, aggregate, time-series, complex WHERE	Swap, create token, broadcast
Best For	Standard analytics via pre-built endpoints	Custom analytics that REST doesn’t expose	Trading, launching tokens, signing

Shared Resources

All skills share common reference documents:

Resource	Content
Authentication	Four auth paths (API Key, wallet login, raw key, Tempo MPP)
x402 Payment	x402 and MPP payment protocols, plan selection flow
Error Handling	HTTP status codes, retry strategies, DeFi-specific errors
Chains	Supported chains matrix, native token addresses, block explorers

Supported Platforms

Skills work with any AI coding assistant that supports SKILL.md files:

Platform	Installation Method
Cursor	Auto-discovered via `.cursor-plugin/`
Claude Code	`/plugin install chainstream`
Codex	Clone + symlink
OpenCode	Clone + symlink
Gemini CLI	`gemini extensions install`

See Installation Guide for setup instructions.

Next Steps

Installation

Set up skills on your platform

chainstream-data

Standard data queries and analytics

chainstream-graphql

Custom GraphQL analytics, JOINs, aggregations

chainstream-defi

DeFi execution workflows

MCP Server

Underlying MCP protocol

Data Products

Access Methods

AI Agents

Compliance (KYT/KYA)

Tutorials

Recipes

Platform

Ecosystem

Reference

What Are Agent Skills

chainstream-data

chainstream-graphql

chainstream-defi

Skills vs MCP vs SDK

Routing Decision Tree

Skill Comparison

Shared Resources

Supported Platforms

Next Steps

Installation

chainstream-data

chainstream-graphql

chainstream-defi

MCP Server

​What Are Agent Skills

chainstream-data

chainstream-graphql

chainstream-defi

​Skills vs MCP vs SDK

​Routing Decision Tree

​Skill Comparison

​Shared Resources

​Supported Platforms

​Next Steps

Installation

chainstream-data

chainstream-graphql

chainstream-defi

MCP Server

What Are Agent Skills

Skills vs MCP vs SDK

Routing Decision Tree

Skill Comparison

Shared Resources

Supported Platforms

Next Steps