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autonomous-deep-research
autonomous-deep-research contiene 5 skills recopiladas de Martin-Hausleitner, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
Use when turning finished AI research results into clear chat messages, copy-ready summaries, duration metrics, PSPin/deep-research links, and optional Notion pages without exposing private data.
Use when the user asks to compare products, tools, GitHub repos, packages, frameworks, guides, platforms, plugins, or alternatives with Deep Research. Produces a strict research prompt and output format with at least 10 candidates, ideally 50, clickable GitHub and website links, five use-case-specific scoring categories, a 100-point total score, ranking, diagrams, and recommendation tables. Trigger on "vergleichen", "compare products", "best packages", "best tools", "GitHub links", "score 100", "rank platforms", "beste Programme", "Plugins vergleichen", or any broad comparison request that should become a reusable Deep Research scorecard.
Use when running, debugging, or explaining the ai-research-browser CLI for real Browser/CDP AI-provider automation, including Brave/Comet live sessions, restart recovery, workflow-live-run, workflow-suite, Deep Research/Agent/image runs, rate-limit cooldowns, screenshots, clipboard output, and safe E2E evidence.
Discover local Brave, Comet/Komet, Chrome, or Edge profiles and run ChatGPT/Gemini research or agent workflows with hidden/headless launch arguments and screenshot-backed E2E records.
Use when validating Oracle 0.13 with ai-research-browser, workflow-run, GitHub public-safe proof, local Hermes skill installation, guarded ChatGPT/Gemini browser E2E, or reattach/status/session evidence.