askill
parallel-web

parallel-web

Publisher on askill

81 total stars
Skills6
Updated 3/27/2026
GitHub
parallel-web-extract
parallel-web-extract
parallel-web3/27/2026

URL content extraction. Use for fetching any URL - webpages, articles, PDFs, JavaScript-heavy sites. Token-efficient: runs in forked context. Prefer over built-in WebFetch.

36
AI 84
parallel-web-search
parallel-web-search
parallel-web3/11/2026

DEFAULT for all research and web queries. Use for any lookup, research, investigation, or question needing current info. Fast and cost-effective. Only use parallel-deep-research if user explicitly req...

30
AI 88
parallel-web-search
parallel-web-search
parallel-web2/26/2026

DEFAULT for all research and web queries. Use for any lookup, research, investigation, or question needing current info. Fast and cost-effective. Only use parallel-deep-research if user explicitly req...

2
AI 88
parallel-deep-research
parallel-deep-research
parallel-web2/10/2026

ONLY use when user explicitly says 'deep research', 'exhaustive', 'comprehensive report', or 'thorough investigation'. Slower and more expensive than parallel-web-search. For normal research/lookup re...

6
AI 95
parallel-data-enrichment
parallel-data-enrichment
parallel-web2/10/2026

Bulk data enrichment. Adds web-sourced fields (CEO names, funding, contact info) to lists of companies, people, or products. Use for enriching CSV files or inline data.

6
parallel-web-extract
parallel-web-extract
parallel-web2/18/2026

URL content extraction. Use for fetching any URL - webpages, articles, PDFs, JavaScript-heavy sites. Token-efficient: runs in forked context. Prefer over built-in web fetch tools.

1
AI 68
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