# makex

> makex — tkejr-makex. Use this tool when you need to integrate and automate actions across different apps, solving problems of workflow inefficiency and data silos. Makex enables the discovery and execution of actions between apps, taking in inputs from various sources and producing outputs in a unified format. It is ideal for use cases requiring seamless interaction between disparate applications and services.

Canonical page: https://skillsregistry.net/skills/tkejr-makex  
JSON: https://api.skillsregistry.net/v1/skills/tkejr-makex

## Description

OpenClaw is a skill-based integration system that allows apps built on MakeX to discover and execute actions.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** api-integration
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/tkejr-makex)

## 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": "tkejr-makex"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tkejr-makex` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tkejr-makex/pull`

---
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