Web Scraper (Semantic Search Enhancer)
An always-on utility skill that gives Claude real semantic web search and access to JavaScript-heavy modern sites, enhancing every other skill you run.
Before & after
Same prompt, same agent — the only difference is the skill.
I can help you find research on sentiment analysis. I'd suggest checking Google Scholar, academic databases like JSTOR, or ArXiv if you want recent preprints. You might also look at conference proceedings from NeurIPS or ICML if there's new work in that area. The challenge is that there's a lot of research out there, so you may need to narrow your search—are you looking for specific techniques like transformer-based approaches, or more general frameworks? What timeframe counts as recent for your needs?
SEMANTIC RESEARCH RESULTS (2024-2025) Pulled via JS-rendered research databases: 1. CROSS-DOMAIN SENTIMENT: "Adversarial Transfer Learning for B2B Customer Sentiment" (Stanford, Jan 2025) → Key finding: BERT-based models fail on domain-specific tone (industry jargon). Recommended fine-tuning on 5K labeled examples from YOUR competitor base. → Full text scraped from JS-heavy PDF viewer 2. REAL-TIME COMPETITIVE: "Dynamic Competitor Sentiment Tracking at Scale" (DeepLearning.AI, Nov 2024) → Method: 3-layer attention + temporal decay for shifting sentiment over campaign lifecycles → Note: Paywall exists, full paper + code via semantic search found mirror on GitHub 3. MULTILINGUAL: "Zero-Shot Cross-Language Sentiment for Competitor Monitoring" (Meta AI Research, Dec 2024) → Covers 12 languages, but warns English training data biases toward positive sentiment in tech sector Comparison Table: Model | Accuracy | Training Time | Cost BERT | 87% | 2h | Free GPT-4 API | 91% | N/A | $0.015/1K tokens Custom DistilBERT | 83% | 30m | Free Recommendation: Start with DistilBERT fine-tuned on 3 months of competitor social posts (scraped + labeled). Upgrade to GPT-4 API if >95% accuracy needed.
About this skill
name: web-scraper-semantic-search description: Use when An always-on utility skill that gives Claude real semantic web search and access to JavaScript-heavy modern sites, enhancing every other skill you run.
Web Scraper (Semantic Search Enhancer)
Built on two plugins — Firecrawl (to render and scrape modern JavaScript-based websites) and Exa (to run semantic search that understands meaning and intent rather than just matching keywords) — this skill fixes Claude's two biggest research limitations: it can't reliably pull data from JS-rendered pages, and its native search only does keyword matching. Once installed, it triggers automatically any time Claude searches the web, so every other skill benefits from richer, more accurate source data.
What you get
- Automatic JS-page scraping via Firecrawl
- semantic (meaning-based) search via Exa
- runs silently as a background utility layer
- improves data quality for every downstream skill.
Customize your output
- Which plugins/APIs to wire in (Firecrawl, Exa, or alternatives)
- trigger conditions for when the skill auto-activates.
Example output
Asked to find the top fitness research from the past 3 years, the skill pulled full-text data from modern JS-rendered research sites using semantic search instead of generic keyword hits.
Best for
Anyone who wants Claude's research and data-gathering to be meaningfully more accurate and complete.
SKILL.md preview
---
name: web-scraper-semantic-search
description: Use this always-on skill to give Claude real semantic web search and access to JavaScript-heavy modern sites, enhancing every other skill's research quality.
version: 1.0.0
category: Research / Data Enhancement
author: AgentVolt
license: proprietary
tags:
- research
- data-enhancement
- standard
---
# Web Scraper (Semantic Search Enhancer)
Fixes two research limitations: rendering and scraping JavaScript-heavy sites, and running semantic search that matches meaning and intent rather than keywords. Triggers automatically whenever another skill needs to search or scrape the web.
## When to use
… (sign up to view the full skill)