# Semilattice - audience prediction

> Use this tool when you need to predict audience responses to content, informing data-driven decision making and testing strategies. Semilattice solves problems related to content optimization, target audience identification, and engagement forecasting by analyzing input data and generating output predictions. It is ideal for use cases where understanding audience behavior and preferences is crucial, such as content creation, marketing, and user experience design.

Canonical page: https://skillsregistry.net/skills/io-github-semilattice-research-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-semilattice-research-mcp

## Description

Semilattice lets agents make predictions about audiences for content testing and decision making.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.semilattice-research%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://mcp.semilattice.ai`

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": "io-github-semilattice-research-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-semilattice-research-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-semilattice-research-mcp/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