researcher_skill

Overview

This skill runs parallel research agents via Contextune's /ctx:research command to quickly gather, compare, and synthesize information on technical topics. It returns ranked options, pros/cons, implementation examples, migration notes, and a clear recommendation tailored to your context. Use it when you need fast, evidence-backed evaluations of libraries, tools, or approaches.

How this skill works

When activated, the skill spawns three parallel Haiku agents that search the web for solutions, evaluate libraries and tools, and analyze codebase patterns. Agents run in the background and return results which the skill synthesizes into a structured research report: summary, top options with pros/cons, examples, migration considerations, and a recommendation. Pass the user’s query verbatim, include constraints and the current year for best results.

When to use it

• You ask "research" or "investigate" a topic
• Compare libraries, frameworks, or tools ("what's best for X?")
• Evaluate adoption, maturity, and trade-offs for a technology
• Explore how other projects implement a pattern or feature
• Gather implementation examples and migration steps

Best practices

• Provide the query verbatim to preserve intent and keywords
• Include context like project type, constraints, and preferred languages
• Add the current year to surface up-to-date results (e.g., "2025")
• Specify non-functional requirements (TypeScript-first, performance, bundle size)
• Request focused scope — narrow topics yield sharper recommendations

Example use cases

• Research best React state management libraries for a TypeScript real-time app
• Compare server frameworks for low-latency APIs (Node vs. Deno vs. Bun)
• Investigate libraries for image processing and integration complexity
• Find mature client-side routing options and migration steps for a legacy app
• Evaluate authentication libraries and community adoption for enterprise use