# Semantic Frame

> Use this tool when you need to convert complex numerical data into concise natural language descriptions, solving problems of data interpretation and analysis in various applications, including financial trading. It takes in NumPy, Pandas, and Polars arrays as input and outputs optimized semantic summaries, detecting trends, anomalies, and seasonality. Ideal for use cases where data needs to be simplified and made consumable for large language models (LLMs).

Canonical page: https://skillsregistry.net/skills/anarkitty1-semantic-frame  
JSON: https://api.skillsregistry.net/v1/skills/anarkitty1-semantic-frame

## Description

Converts raw numerical data from NumPy, Pandas, and Polars arrays into natural language descriptions optimized for LLM consumption. Performs trend detection, volatility analysis, anomaly detection, seasonality assessment, and data quality checks. Achieves 95%+ token reduction by replacing thousands of data points with concise semantic summaries. Includes specialized trading module for financial applications.

## Trust

- **Trust score (0–1):** 0.62
- **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/anarkitty1-semantic-frame)
- **Repository:** <https://github.com/anarkitty1/semantic-frame>

## 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": "anarkitty1-semantic-frame"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anarkitty1-semantic-frame` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anarkitty1-semantic-frame/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