Scan AI agent sources and output filtered digests to .agent/research-digest.md.
npx skills add https://github.com/ysgdepaula/x-deep-os --skill research-scan
Please help me install this Agent Skill. Skill: research-scan Source: https://github.com/ysgdepaula/x-deep-os/tree/main/.claude/skills/research-scan Command: npx skills add https://github.com/ysgdepaula/x-deep-os --skill research-scan
This feature helps teams stay current with advances in AI agents, MCP, and multi-agent frameworks by producing concise, actionable digests that inform architecture decisions and knowledge management.
Run a weekly scan of the identified sources and generate an actionable digest for the X-DEEP knowledge base.
High-intent search queries and answers about installing and using this skill.
Automated research scanning queries sources like ArXiv, GitHub, HackerNews, and Anthropic to identify AI agent and MCP advances. A 2-pass filtering and scoring pipeline surfaces high-signal results, producing scannable digests for architecture decisions.
A 2-pass filtering pipeline for research ingestion sequentially evaluates and scores source findings to isolate high-signal results. This mechanism ensures only relevant advances and patterns are output to the research digest for engineering and product decisions.
Yes, you can ingest AI agent research digests into existing knowledge articles. The process includes health checks to prevent contradictions with current content and applies guardrails to ensure safe, accurate knowledge ingestion.
Yes, this research digest workflow supports multi-agent ecosystems and Claude Code. It applies ongoing vigilance across sources like CrewAI and Claude Code, filtering results by relevance to improve system architecture.
The best way to track ArXiv and GitHub updates for X-DEEP architecture decisions is running a weekly automated scan. This generates an actionable digest highlighting relevant tools and patterns, output directly to the research digest file.
Limitations of auto-ingesting web research include potential contradictions with existing knowledge articles. To mitigate this, the system enforces health checks and guardrails during the ingestion of new findings from the research digest.
yu13130122297Identify uncertainties in research framing, datasets, metrics, and baselines.
henningthiesAutomate structured research with source citations and organized findings.
vibeforge1111Scans multiple blockchain networks for real-time token discovery and market analysis.
dogekikiFetch tiered summaries of academic papers from AlphaXiv and arXiv.
