tech-researcher

What problem does it solve?

This Skill ensures engineering teams perform focused, evidence-backed technical research and solution reviews before implementation, preventing costly rework and design drift by surfacing open-source references, academic findings, and industry best practices aligned to the project's constraints.

Core Features & Use Cases

• Structured research pipeline: clarifies the problem, searches 3–5 source dimensions (open-source, industry, academic, blogs, domain-specific), and synthesizes findings into a comparative analysis.
• Actionable recommendations: produces a prioritized recommendation with implementation complexity, risks, and SPEC update steps tailored to ecom-agent scenarios like sizing recommendation, memory architecture, or observability.
• Decision guardrail: lists clarification questions to resolve key uncertainties and mandates SPEC synchronization before coding begins (integration step described for project workflow).
• Use case: run this Skill before adding a new recommendation algorithm or introducing a third-party vector DB to get validated options, trade-offs, and precise SPEC edits.

Quick Start

Ask the tech-researcher to research "memory architecture for long-running conversational agents" and produce a 2-3 option comparison with a recommended approach, complexity estimate, and 3 clarification questions.