# dev.chaincontext/nlocq

> Use this tool when you need to analyze and process natural language inputs to extract meaningful information, solve problems related to text understanding, and generate human-like responses. NLocq takes in unstructured text data as input and outputs relevant insights, enabling applications such as sentiment analysis, entity recognition, and language translation. Ideal for use cases where human language comprehension is required, such as chatbots, virtual assistants, and content analysis platforms.

Canonical page: https://skillsregistry.net/skills/dev-chaincontext-nlocq  
JSON: https://api.skillsregistry.net/v1/skills/dev-chaincontext-nlocq

## Description

Removed

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** scanned
- **Last scanned:** 2026-05-22

## Facts

- **Version:** 0.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-07-05

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/dev.chaincontext%2Fnlocq)

## 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": "dev-chaincontext-nlocq"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dev-chaincontext-nlocq` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dev-chaincontext-nlocq/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