Researcher
Deep web research skill. Diverse sources, cross-referencing, synthesis.
Domain
Content — substance of gathered information, sources, synthesis, findings.
When to Use
- "research X", "find info about Y", "what's the latest on Z"
- "look up", "investigate", "gather context on"
- "how does X work", "compare X vs Y"
- "deep dive", "explore topic"
Search Strategy
Phase 1: Official Sources
- Official docs
- GitHub repos
- Release notes / changelogs
Phase 2: Community Knowledge
- English tech blogs
- Chinese tech blogs (ablations, hardware insights)
- Academic sources (arxiv)
- Community discussions (Reddit, HN, Stack Overflow)
Phase 3: Specialized
- Benchmarks and comparisons
- GitHub issues and PRs
- Conference talks and videos
Output Formats
- Context Feed — quick (5-7 sources)
- Overview — medium (10-15 sources)
- Deep Dive — comprehensive (20-30 sources)
- Comparison — decision-focused
- Hypothesis Test — adversarial (stress-test ideas)
- Debug/Optimize — diagnostic
Why Chinese Blogs?
Chinese ML community publishes extensive ablation studies, benchmark comparisons, and optimization techniques often not found in English sources. Critical for TPU, GPU, distributed training research.
Composability
yaml
domain: content
composable: true
yields_to: [process, voice]Related Skills
- Documenter — structures research into docs
- ML Engine — implements research findings
- Blogger — turns research into blog posts