best-practices-researcher

Research and synthesize authoritative best practices with source attribution and deprecation checks.

12|2|Updated Jan 27, 2026
One-click install
npx skills add https://github.com/jikig-ai/soleur --skill best-practices-researcher-jikig-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: best-practices-researcher
Source: https://github.com/jikig-ai/soleur/tree/main/.openhands/skills/best-practices-researcher
Command: npx skills add https://github.com/jikig-ai/soleur --skill best-practices-researcher-jikig-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps engineers and technical writers locate, verify, and synthesize authoritative best practices and examples across multiple sources so teams can make confident, up-to-date implementation decisions.

Core Features & Use Cases

  • Curated skill-first search: Check existing local and project skills for pre-curated guidance before going online, reducing redundant research.
  • Deprecation & API safety checks: Perform mandatory deprecation and breaking-change checks for external APIs and SDKs to avoid recommending sunsetted services.
  • Targeted online research: Gather official docs, popular repository examples, community consensus, and code samples when gaps remain.
  • Synthesis & attribution: Organize findings into prioritized recommendations, label provenance (skill vs official docs vs community), and include actionable examples for implementation.
  • Specialized workflows: Includes explicit guidance for GitHub issue best practices, labeling, templates, and reproducible reporting.

Quick Start

Research and synthesize authoritative, current best practices and source-attributed guidance for implementing observability in a Node.js microservices architecture.

Frequently Asked Questions about best-practices-researcher

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

FAQPage Schema
How do I research and synthesize authoritative best practices for a new technology stack?

Researching and synthesizing authoritative best practices involves checking local skills for pre-curated guidance, performing deprecation checks for external APIs, gathering official docs and community consensus, and organizing findings into prioritized recommendations with source attribution.

How do I verify if an external API is deprecated before recommending it in documentation?

Verifying if an external API is deprecated requires performing mandatory deprecation and breaking-change checks against official sources before synthesis, ensuring you avoid recommending sunsetted services or outdated SDKs in your implementation guidance.

What is the best way to compare implementation patterns across multiple code repositories and official docs?

Comparing implementation patterns across multiple sources requires gathering official documentation, popular repository examples, and community consensus, then synthesizing these findings into prioritized recommendations with clear provenance labels and actionable code samples.

Can I generate GitHub issue best practices and reproducible reporting templates automatically?

Generating GitHub issue best practices and reproducible reporting templates is supported through specialized workflows that provide explicit guidance for issue labeling, template creation, and structured reporting to improve engineering documentation tasks.

Does this approach check existing project skills before searching online for coding standards?

Checking existing project skills before searching online is the first step in this approach, utilizing a curated skill-first search to locate pre-curated guidance locally and reduce redundant external research for development workflows.

When should I not rely on automated best-practices research for critical architecture decisions?

Automated best-practices research should not be the sole source for critical architecture decisions when external APIs lack clear deprecation timelines or when community consensus is fragmented, requiring manual verification of synthesized recommendations.