deep-web-search
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/deep-web-searchReads 30+ full web pages for non-academic insights using a subagent
- Gathers non-academic perspectives from blogs, product pages, and industry reports
- Uses subagent-spawning to isolate context-heavy page reading
- Prioritizes full-page consumption to ensure comprehensive coverage
- Returns structured summaries to avoid overwhelming the main session
SKILL.md
.github/skills/deep-web-searchView on GitHub ↗
--- name: deep-web-search description: Full-page web reading for non-academic perspectives — blogs, tech reports, product pages, industry analysis. Spawns a subagent to read pages in isolated context. Hard constraint: at least 30 web pages read in full. execution: subagent prompt: ./prompt.md input: search_queries (string), field_context (string) --- # Deep Web Search Deep web reading for non-academic perspectives (blogs, tech reports, products, industry analysis). ## Execution Subagent — spawned via `subagent-spawning/spawn-agent` skill. The subagent reads pages in its own context window, protecting the main session from context overflow. ## Hard Constraint At least 30 web pages read in full before completing this SOP. ## Why Subagent (Not Import) Reading 30+ full web pages consumes significant context. Running this as a subagent isolates the heavy reading from the main dialogue session. The subagent returns a structured summary, not raw page content.
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