Multi-agent iterative research. Spawns parallel supportive/adversarial research workers and a judge each round, accumulates a citation catalog and a deliverable document, and stops when the topic is adequately covered.
Investigates one research direction with a supportive or adversarial stance. Works in research/analysis passes — searches, analyzes what came back, names the remaining gaps, then searches only to close them. Writes a structured findings file. Spawned by the deep-research skill.
Scores a round's research findings, verifies quantitative claims against sources, folds findings into the deliverable documents, and curates the roadmap. Spawned by the deep-research skill once per round.
Reviews a finished deep-research working directory. Use when the user wants a debrief of a research run — what was found, what scored well, what failed, and the open questions. Reads the working directory; runs no new research.
Multi-agent iterative research. Use when the user has a research goal — a question to answer, a topic to investigate, a due-diligence subject — and wants a thorough, sourced, audience-targeted document. Runs an autonomous loop of parallel research workers and a judge.
Multi-agent iterative research for Claude Code. Give it a research goal; it runs an autonomous loop of parallel research workers and a judge and produces a sourced, audience-targeted document.
/plugin marketplace add mirceastrugaru/deep-research
/plugin install deep-research@deep-research
Restart Claude Code.
/plugin marketplace update deep-research
/plugin update deep-research
Restart Claude Code.
/deep-research:deep-research
Debrief a finished run:
/deep-research:deep-research-review
Uses power tools
Uses Bash, Write, or Edit tools
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Autonomous experimentation skill for any goal — code, research, documents, analysis. Runs parallel experiments, keeps what works, discards what doesn't.
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