What problem does it solve?
This Skill streamlines the creation of rigorous technical research documents by guiding a structured, verifiable workflow for evaluating technologies, architectures, and implementation approaches so teams can make informed technical decisions faster.
Core Features & Use Cases
- Structured Research Workflow: A six-step, stepwise process (scope confirmation, technology stack, integration patterns, architectural patterns, implementation research, synthesis) that produces a single coherent Markdown research artifact.
- Web-backed Verification: Explicit requirement for live web search and multi-source verification to ensure claims are current and cited.
- Document Automation & Tracking: Creates templated research files, updates frontmatter (stepsCompleted, metadata), and appends findings to an output research document for reproducible reports.
- Use Cases: Technology selection (e.g., REST vs GraphQL), architecture trade-off analysis, migration planning, implementation roadmaps, and executive technical summaries.
Quick Start
Start a technical research on "GraphQL vs REST for large-scale microservices" to compare architectures, performance, and migration strategies.