# Carbon DeFi Trading

> Use this tool when you need to automate decentralized trading strategies across multiple blockchain chains. It solves problems of manual trading by enabling AI agents to create, manage, and optimize limit orders, range orders, and liquidity positions. The tool takes in trading parameters and returns unsigned transactions for user signing, providing a seamless interface for managing complex DeFi trading strategies.

Canonical page: https://skillsregistry.net/skills/ashachaf-carbon-defi  
JSON: https://api.skillsregistry.net/v1/skills/ashachaf-carbon-defi

## Description

Enables AI agents to create and manage decentralized trading strategies on Carbon DeFi. Supports limit orders, range orders, recurring strategies, and concentrated liquidity positions across multiple chains. Returns unsigned transactions for user signing, with tools for repricing, depositing, withdrawing, pausing, and deleting strategies.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ashachaf-carbon-defi)
- **Repository:** <https://github.com/ashachaf/carbon-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ashachaf-carbon-defi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ashachaf-carbon-defi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ashachaf-carbon-defi/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
