Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Content Creation
Financial Times Deep Reader
Automates login to FT.com to extract and provide detailed bilingual English-Chinese summaries of top Financial Times articles with academic rigor.
skill openclawclawhub Free
Automates login to FT.com to extract and provide detailed bilingual English-Chinese summaries of top Financial Times articles with academic rigor.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- zhouziyue233
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Financial Times Deep Reader (ft-reader)
Use this skill to perform deep, structured, and bilingual analysis of top articles from Financial Times (ft.com). This skill automates login, article selection, and high-quality summarization suitable for academic and professional use.
Capabilities
Automated Access: Logs into FT.com using stored credentials via Browser tool. Strategic Selection: Identifies "Most Read" based on user preference. Bilingual Synthesis: Provides high-fidelity English-Chinese summaries with a focus on core arguments. Academic Rigor: Extracts specific data, quotes, and important charts in the article.
Configuration & Credentials
Browser Profile: Use openclaw profile to maintain session persistence. Credentials: User: xxxxxx Pass: xxxxxx
Phase 1: Authentication & Navigation
Open https://www.ft.com/login. Enter email and password. Navigate to the homepage or a specific section requested by the user.
Phase 2: Content Extraction
Use evaluate to identify the top N articles from the homepage (targeting .o-teaser__heading or most-read sections). For each target article: Navigate to the article URL. Use evaluate with the following JavaScript to extract clean content: () => { const title = document.querySelector('h1')?.innerText; const standfirst = document.querySelector('div[class*="standfirst"]')?.innerText; const paragraphs = Array.from(document.querySelectorAll('div[class*="article-body"] p, article p')) .map(p => p.innerText.trim()) .filter(text => text.length > 0); return { title, summary: standfirst, content: paragraphs.join('\n\n') }; }
Phase 3: Analysis & Reporting
For each article, generate a report (around 600 words) using the following structure: Title (Bilingual) Core Opinion (Bilingual) Arguments (Bilingual) Conclusion (Bilingual)
Constraints
Style: Professional, academic, and fluff-free (follow SOUL.md). Language: Always provide both English and Chinese translations for technical terms and core ideas. Independent Reading: Treat each article as a standalone piece unless cross-analysis is requested. Token Management: If many articles are requested, split the delivery into multiple turns to avoid truncation.
Usage Examples
"Lulu, use ft-reader to analyze the top 3 Most Read articles from today." "Perform a deep dive into the top story on FT regarding AI productivity using the ft-reader skill."
Category context
Writing, remixing, publishing, visual generation, and marketing content production.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md