# wahlu

> wahlu — steviebuilds-wahlu. Use this tool when you need to automate social media interactions for efficient content management and engagement. Wahlu solves problems of manual posting, commenting, and message handling, streamlining online presence for AI agents. It accepts input such as content schedules and messaging rules, and outputs automated social media posts and responses.

Canonical page: https://skillsregistry.net/skills/steviebuilds-wahlu  
JSON: https://api.skillsregistry.net/v1/skills/steviebuilds-wahlu

## Description

Social media automation for AI agents.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** social-media
- **Updated:** 2026-09-24

## Source

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

## 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": "steviebuilds-wahlu"
    }
  }
}
```

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