deep-research

Decompose complex queries, gather evidence, synthesize, and verify claims.

Updated Jun 19, 2026
One-click install
npx skills add https://github.com/refernandes/toktrim --skill deep-research-refernandes
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/refernandes/toktrim/tree/main/.opencode/.opencode/skills/deep-research
Command: npx skills add https://github.com/refernandes/toktrim --skill deep-research-refernandes

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires web_search, web_fetch, sme, reviewer, critic, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of conducting comprehensive, reliable, and documented deep research over complex external sources. It orchestrates an iterative research process, involving decomposition of questions, evidence gathering, synthesis, verification, and critique.

Core Features & Use Cases

  • Complex Query Decomposition: Breaks down questions into focused subtopics.
  • Iterative Research Loop: Facilitates multi-round searches and evidence collection.
  • Parallel Synthesis: Utilizes parallel workers for synthesizing answers from gathered evidence.
  • Claim Verification: Engages dual reviewers to validate synthesized claims.
  • Critic Challenge: Considers high-stakes claims with a critic agent for further validation.
  • Structured Output: Provides a cited report or brief based on user preference.

Quick Start

To initiate a deep research session on "quantum computing," run the command: deep-research quantum computing

Frequently Asked Questions about deep-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I conduct deep research for complex queries with fact-checking?

Deep research for complex queries is conducted by decomposing questions into subtopics, gathering evidence iteratively, synthesizing answers in parallel, and verifying claims through dual reviewers and a critic agent.

What is the best way to verify evidence gathered from multiple web searches?

The best way to verify evidence gathered from web searches is using a multi-stage process where dual reviewers validate synthesized claims, and a critic agent challenges high-stakes assertions for robust validation.

Do I need web search and fetch APIs to run parallel synthesis?

Yes, you need web search and fetch APIs to run parallel synthesis. This deep research process requires access to these APIs for external source review, alongside parallel processing capabilities and robust error handling.

How does claim verification work during complex query processing?

Claim verification during complex query processing works by engaging dual reviewers to validate synthesized claims. A critic agent further considers high-stakes claims to ensure documented reliability.

Can I get a cited report after iterative evidence gathering?

Yes, you can get a cited report after iterative evidence gathering. The structured output provides either a cited report or a brief based on your preference following the synthesis and validation stages.