Deep Research is an AI Engineering skill for Claude Code, published by jezweb in claude-skills.
Deep Research explores a product space before building, using local project scans, competitor research, community signals, and technical option review. Use it for discovery, competitive analysis, and choosing what to build next.
Deep Research is cataloged under AI Engineering on DirSkills. Deep Research comes from a repository tagged ai, anthropic, automation, claude-code and claude-skills.
Documentation
Comprehensive research and discovery before building something new. Instead of jumping straight into code from training data, this skill goes wide and deep — local exploration, web research, competitor analysis, ecosystem signals, future-casting — and produces a research brief that makes the actual build 10x more productive.
The difference is scope of ambition, not just time.
This is the opening of the README. Read the full README on GitHub.
Deep Research is one of 25 skills that DirSkills catalogs from jezweb/claude-skills, the repository it ships in. Its siblings there include AI Image Generator, App Documentation Generator and Cloudflare API. Each one is a separate skill with its own page in this directory, installs the same way Deep Research does, and is maintained by jezweb in that same repository. The rest of the collection is listed on the jezweb/claude-skills page.
Deep Research ranks #1385 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Deep Research against them. Open each page to compare what they document and how they install.
Deep Research is one of 25 skills cataloged on DirSkills from jezweb/claude-skills.
Deep Research is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #1385 by stars among them.