Skill UI

Uses the Gemini API to autonomously plan, search, read, and synthesize detailed research reports with streaming status updates, structured outputs, and the ability to continue previous investigations for market analysis, technical reviews, or due diligence.

This advanced skill is a multi-agent research framework designed for executing deep, extensive research in parallel. It orchestrates a team of 10 specialized agents to gather, synthesize, and analyze information simultaneously. It is ideal for complex topics that require rapid, broad, and battle-tested investigation across multiple dimensions, significantly accelerating the knowledge discovery process.

Provides Lindy AI agents with a step-by-step diagnostics suite for environment info, API checks, agent state, run history, and support bundle generation when investigating issues.

Use the Recommendation Canvas to vet AI product concepts by mapping business and customer outcomes, hypotheses, positioning, risks, and success metrics so you can make defensible investment recommendations.

Use Elasticsearch-powered UEBA to model baselines from authentication, file, and network logs, score deviations, and flag insider threat indicators for SOC investigation workflows.

Monitor and analyze Windows Management Instrumentation event subscriptions (filters, consumers, bindings) to detect and investigate fileless persistence mechanisms and attacker activity triggered via WMI, especially when other persistence traces are absent.

This technique is used when the required answer in a case query is not directly stated but must be deduced by following a sequence of connected roles, people, or events. It involves mapping complex relationships, such as Victim -> Defendant -> Lawyer -> Witness, to trace indirect connections and reach the final piece of information. Ideal for advanced investigative research and deep knowledge graph traversal.