wc-seed-web

Discover and aggregate credible web articles for seed-phase content planning.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/strivelogic-cto/writing-companion.io --skill wc-seed-web
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wc-seed-web
Source: https://github.com/strivelogic-cto/writing-companion.io/tree/main/skills/wc-seed-web
Command: npx skills add https://github.com/strivelogic-cto/writing-companion.io --skill wc-seed-web

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This workflow helps content teams quickly discover and curate audience-relevant web articles by running targeted web searches, filtering for credibility, and storing seeds for later processing.

Core Features & Use Cases

  • Audience-targeted searches: generate focused query sets to surface sources that address specific audience needs.
  • Cross-query deduplication: remove duplicates across multiple queries to maintain a unique seed set.
  • Seed curation & integration: centralizes discovered articles for downstream scraping and analysis.

Quick Start

Provide a queries.json with web_searches and optionally an audience segment, then run the wc-seed-web workflow.

Frequently Asked Questions about wc-seed-web

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate content curation and find credible web articles for specific audiences?

Automated content curation discovers web articles using audience-targeted queries, ranks results by credibility and depth, and deduplicates sources to store a unique seed set for later scraping.

What is the best way to seed targeted web articles for content planning?

The best way to seed web articles is running targeted web searches, applying quality filters to rank sources by credibility, and deduplicating across queries to centralize selected articles for downstream processing.

How do I set up and run a web search workflow for content seed collection?

Provide a queries.json file containing web_searches and an optional audience segment, then execute the workflow to coordinate WebSearch, WebFetch, and scraping steps while enforcing quality filters.

Can I use audience segmentation to filter discovered articles during web search?

Yes, audience segmentation is supported. You can supply an optional audience segment in your queries configuration to generate focused query sets that surface sources addressing specific audience needs.

Does cross-query deduplication remove duplicate web articles found across multiple searches?

Yes, cross-query deduplication removes duplicate web articles found across multiple search queries to maintain a unique seed set, ensuring discovered articles remain distinct before storage.

Why does my web content seed workflow store articles instead of scraping them immediately?

The workflow stores selected articles as seeds for later scraping to separate discovery from processing, allowing content teams to review credible sources before committing to downstream scraping and analysis.