Conduct multi-phase research with specialized agents to produce traceable implementation plans.
npx skills add https://github.com/ahrav/Gossip-rs --skill deeper-research
Please help me install this Agent Skill. Skill: deeper-research Source: https://github.com/ahrav/Gossip-rs/tree/main/.claude/skills/deeper-research Command: npx skills add https://github.com/ahrav/Gossip-rs --skill deeper-research
This Skill tackles complex problems where the cost of a wrong decision is extremely high, by conducting a comprehensive, multi-phase research process that involves a large number of agents to gather, synthesize, and validate information.
Use the deeper-research skill to research the problem of optimizing inter-process communication in a high-throughput microservices environment.
High-intent search queries and answers about installing and using this skill.
To research high-stakes architecture decisions, you need a multi-phase research funnel that systematically gathers, synthesizes, and validates evidence. This process uses wide surveys, deep dives, and adversarial reviews to ensure full traceability from findings to actionable codebase plans.
Adversarial review in evidence-based decision making is a validation phase that challenges synthesized findings to identify gaps and test evidence strength. It ensures critical design choices are supported by hard evidence rather than assumptions before implementation begins.
Yes, a multi-phase research funnel can optimize inter-process communication in microservices by investigating the problem through wide surveys and deep dives. It ensures full traceability from findings to actionable codebase plans for high-throughput environments.
A comprehensive research funnel for complex design decisions employs a structured 6-phase process with up to 21 agents. These specialized agents systematically gather, synthesize, and validate evidence to investigate problems from multiple angles.
The best way to ensure traceability from research findings to implementation plans is to use a structured research funnel that maps evidence strength to actionable codebase plans. This process validates findings through adversarial reviews and identifies gaps for targeted investigation.
You should use an evidence-based deep dive when the cost of a wrong decision is extremely high, such as designing foundational architecture. It focuses on gathering hard evidence with a clear strength scale to inform critical design choices and identify theoretical gaps.
dileep-kishoreIteratively refine codebase context retrieval across up to three search loops.
felix-howardGenerate technical implementation plans with phased documentation and architecture design.
RheasilviaNavigate and analyze codebase structures using a knowledge graph of code entities.
EndUser123Explore parallel reasoning branches to evaluate complex problems and synthesize recommendations.
