empire-research

These agents are adapted from upstream open-source projects under the MIT

Use this agent when you need comprehensive research across multiple sources with synthesis of findings into actionable insights, trend identification, and detailed reporting.

Trigger when user says: "compare libs", "compare frameworks", "/empire-research:compare", "evaluate options", "side by side", "head to head", "X vs Y", "which is better", "tooling comparison", "weigh these options", "decide between these". Closed comparison of tools, libraries, frameworks, vendors, or architectural choices — NOT competitors (use `/empire-product:recon`). User has a known option set; produces a side-by-side matrix on user-defined dimensions and recommends a winner. Findings stay local — never posted externally.

Investigate complex claims: decompose into atomic verifiable components, resolve vague entities, verify each independently, separate confirmed facts from narrative interpretation. Use to fact-check complex claims, investigate narratives mixing fact with interpretation, or when a claim bundles multiple assertions. Trigger phrases: "investigate this claim", "fact-check this", "is this true", "decompose this narrative", "viral content check", "trace this claim", "/empire-research:dissect". Findings stay local — never post to GitHub.

Trigger when user says: "explore options", "what could we do for X", "research approaches", "/empire-research:explore", "investigate approaches", "spawn research team", "what are the options", "options analysis", "explore solutions", "have the team explore". Open-ended exploration: shallow scan enumerates 3–5 candidate approaches, user picks subset to deep-dive, parallel research per approach, consolidated comparison with recommended direction. Findings stay local — never posted externally.