# ft-reader

> ft-reader — zhouziyue233-ft-reader. Use this tool when you need to analyze top articles from Financial Times in multiple languages, providing deep and structured insights. It solves problems related to news monitoring, market research, and bilingual content analysis, accepting article URLs or search queries as input and outputting summarized and translated content. Ideal for use cases requiring in-depth understanding of global financial news and trends.

Canonical page: https://skillsregistry.net/skills/zhouziyue233-ft-reader  
JSON: https://api.skillsregistry.net/v1/skills/zhouziyue233-ft-reader

## Description

Use this skill to perform deep, structured, and bilingual analysis of top articles from Financial Times (ft.com).

## 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:** other
- **Updated:** 2026-09-25

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/zhouziyue233-ft-reader)

## 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": "zhouziyue233-ft-reader"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zhouziyue233-ft-reader` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zhouziyue233-ft-reader/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