research

Generate persistent research documentation with structured frontmatter and standardized output locations.

69|7|Updated Jan 19, 2026
One-click install
npx skills add https://github.com/TaylorHuston/local-life-manager --skill research-taylorhuston
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/TaylorHuston/local-life-manager/tree/main/.claude/skills/research
Command: npx skills add https://github.com/TaylorHuston/local-life-manager --skill research-taylorhuston

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates and standardizes the creation of persistent research documentation for complex topics, ensuring knowledge is captured, organized, and reusable across projects.

Core Features & Use Cases

  • Persistent Documentation: Generates structured research notes that can be referenced by teams later.
  • Cross-Project Reference: Centralizes insights in shared repositories for reuse and comparison.
  • Workflow Integration: Aligns with plan/spec cycles to surface research when planning and decision-making.

Quick Start

Use the research skill to start a deep-dive on a topic by providing a prompt such as /research "authentication patterns for multi-tenant SaaS" and review the resulting notes in the configured output locations.

Frequently Asked Questions about research

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

FAQPage Schema
How do I create persistent research documentation for complex topics?

Persistent research documentation is created by automating the generation of structured notes with standardized frontmatter and output locations. This ensures deep-dive investigations and competitive analysis are captured for reproducible workflows.

What is the best way to manage knowledge across multiple projects?

Cross-project knowledge management is achieved by centralizing insights in shared repositories for reuse and comparison. This approach aligns research with plan and spec cycles to surface critical information during planning and decision-making.

How do I standardize research notes for competitive analysis?

Standardizing research notes for competitive analysis requires applying structured frontmatter and predefined output locations. This creates reproducible documentation workflows that can be consistently referenced by teams later.

Does this research workflow integrate with plan and spec cycles?

Yes, the research workflow integrates directly with plan and spec cycles to surface documentation when planning and decision-making. This ensures deep-dive topic investigations inform project requirements and technology decisions.

Can I use structured notes for technology decisions across different projects?

Structured notes are explicitly designed for technology decisions across multiple projects. The automated workflow captures topic analysis in centralized repositories, allowing teams to reference and compare insights during future planning phases.