research

Research topics across web, docs, and code with cited Markdown summaries.

Updated Aug 27, 2026

Search Tags:#research #docs #web #code-search #source-citations #topic-analysis

Ready to run

npx skills add https://github.com/nijaru/dotfiles --skill research-nijaru

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research
Source: https://github.com/nijaru/dotfiles/tree/main/private_dot_codex/skills/research
Command: npx skills add https://github.com/nijaru/dotfiles --skill research-nijaru

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you perform targeted research across the web, official docs, and code sources, reducing decision fatigue and surfacing high-quality options.

Core Features & Use Cases

Parallel sourcing: Query multiple sources at once to speed up research.
Cite sources: Collect reliable links and references for every finding.
Tiered depth: Quick, Medium, and Deep analyses with clear tradeoffs.

Quick Start

Provide a topic like "best JSON library for Rust" and let me research and summarize the best options with citations.

Frequently Asked Questions about research

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

FAQPage Schema

How do I research and compare libraries or frameworks across multiple sources?▼

Deep research across web, docs, and code sources lets you evaluate libraries and frameworks side-by-side with citations. Choose Quick, Medium, or Deep scope to match your decision timeline, getting concise option sets or full analyses with source links for every finding.

Can I get research results with source citations and references?▼

Yes. Every finding is backed by collected links and references in standardized Markdown format. Sources come from web, official docs, and code search, so you can verify recommendations and trace them back to their origin.

What's the best way to reduce decision fatigue when evaluating architecture patterns?▼

Parallel sourcing across multiple channels filters noise and surfaces high-quality options fast. Tiered depth—Quick, Medium, Deep—lets you start narrow and expand only where it matters, producing actionable summaries instead of overwhelming data.

How do I conduct targeted research on a technical topic from scratch?▼

Provide a topic like 'best JSON library for Rust' and the Skill queries web, docs, and code sources in parallel. It synthesizes findings into a focused option set or detailed analysis with citations, ready to inform your next decision.

Can I use web and code search together to evaluate a single technology decision?▼

Yes. The Skill combines web search, official documentation, and code source analysis into one research pass. This parallel approach surfaces real-world usage patterns, official guidance, and implementation examples all at once.