Coordinate parallel multi-source web research across multiple AI agents.
npx skills add https://github.com/CarbeneAI/Forge --skill research-carbeneai
Please help me install this Agent Skill. Skill: research Source: https://github.com/CarbeneAI/Forge/tree/main/.claude/skills/Research Command: npx skills add https://github.com/CarbeneAI/Forge --skill research-carbeneai
Centralizes and accelerates complex web and content research by coordinating multiple researcher agents, fetching difficult-to-access content, and synthesizing findings into actionable reports so users avoid manual, slow, and fragmented investigations.
Run a parallel multi-source research on "quantum computing breakthroughs" and synthesize findings across available researcher agents.
High-intent search queries and answers about installing and using this skill.
Parallel multi-source web research coordinates multiple researcher agents like Claude, Perplexity, and Gemini to fetch, extract, and synthesize information concurrently. It decomposes queries and orchestrates agents with timeouts to maximize coverage and speed.
Scraping blocked or CAPTCHA-protected pages uses a three-layer retrieval fallback system: WebFetch attempts initial access, then escalates to BrightData, and finally Apify to handle complex JavaScript and protected sites.
Yes, Fabric pattern selection automatically chooses from over 242 patterns for knowledge extraction, summarization, and specialized content transformations. This applies to extracting insights from videos, papers, and multi-source articles.
Multi-agent research supports local models like Ollama alongside cloud agents including Grok, Gemini, and Claude. It orchestrates these agents in parallel across quick, standard, or extensive modes depending on required coverage.
Generating a sourced synthesis involves launching parallel agents to investigate the topic, applying three-layer retrieval for content access, and using Fabric patterns to synthesize findings into actionable reports.
Limitations of orchestrated multi-agent research include managing agent timeouts during parallel execution and handling retrieval failures. The three-layer fallback mitigates access issues, but complex JavaScript pages may still require specific API integrations.
danielmiesslerCoordinate parallel multi-source research agents and generate synthesized reports.
CarbeneAIExecute Fabric patterns natively on user-provided content for structured outputs.
grtninjaMaintains a local trust ledger of outcomes and arbiter evidence to generate trust-tier reports.
jongensutrechtSynthesize evidence-based problem analyses from web research, code inspection, and expert reasoning.