research-patterns

Enforce slug naming and markdown structure for research outputs.

Updated Jan 10, 2026
One-click install
npx skills add https://github.com/KingInYellows/yellow-plugins --skill research-patterns-kinginyellows
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-patterns
Source: https://github.com/KingInYellows/yellow-plugins/tree/main/plugins/yellow-research/skills/research-patterns
Command: npx skills add https://github.com/KingInYellows/yellow-plugins --skill research-patterns-kinginyellows

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The skill defines standard conventions for organizing and producing research outputs across the Yellow Research plugin, ensuring consistent structure, sourcing, and deployment of findings.

Core Features & Use Cases

  • Enforces a slug naming scheme for research topics that translates to consistent file names (docs/research/<slug>.md).
  • Defines where to store outputs, the required markdown structure, and how to cite sources using the provided MCP tools.
  • Provides setup guidance for API keys and tool configuration to enable parallel and ceramic querying, while handling degraded scenarios gracefully.

Quick Start

Create a new research-patterns entry and apply slug rules to generate the file path docs/research/<slug>.md, then populate it with the mandated header and content structure.

Frequently Asked Questions about research-patterns

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

FAQPage Schema
How do I standardize research documentation output formats?

To standardize research documentation, enforce slug naming schemes, output placement rules, and markdown structures. This ensures consistent file paths and source attribution across all research topics.

What is the best way to structure markdown research files with consistent naming?

The best way to structure markdown research files is using a slug naming scheme that translates to consistent file paths. This enforces a standardized header and content structure for every research topic.

How do I handle graceful degradation when research tools are unavailable?

Graceful degradation when research tools are unavailable is handled by encoding error management within the MCP tooling configuration. This ensures your documentation process continues even when specific querying tools fail.

Do I need API keys to use MCP tools for parallel querying?

Yes, you need API keys configured to enable parallel and ceramic querying with MCP tools. Setup guidance for tool configuration and API keys is provided to ensure proper data retrieval.

Why does my research output placement lack consistent source attribution?

Research output placement lacks consistent source attribution without enforced format rules. By governing outputs through MCP tooling and mandated markdown structures, source citations remain uniform across documentation.