Best Practice Search

🌐Community
by cklxx · vlatest · Repository

Helps with best practices, search as part of agent workflows workflows.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add best-practice-search npx -- -y @trustedskills/best-practice-search
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "best-practice-search": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/best-practice-search"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill, Best Practice Search, helps AI agents quickly find and adapt industry best practices or successful case studies for various domains like architecture, processes, security, and operations. It goes beyond simple searching by filtering results, assessing their suitability for the current environment, and providing actionable implementation paths with references. The process involves retrieving information, filtering it based on specific criteria, and adapting it to fit the user's unique context.

When to use it

This skill is useful in scenarios such as:

  • Finding applicable industry best practices or case studies for architectural improvements.
  • Determining if a suggested approach aligns with your environment and outlining how to implement it.
  • Identifying solutions for operational challenges, security vulnerabilities, or compliance requirements.
  • Evaluating the feasibility of new technologies or processes within existing constraints.
  • Gaining insights from successful examples in similar technical and business contexts.

Key capabilities

  • Search Strategy Design: Generates keyword combinations with operators and filters (e.g., site:, filetype:pdf).
  • Source Prioritization: Prioritizes official documentation, practical case studies, and community signals.
  • Credibility Assessment: Evaluates the reliability of sources based on publication date, applicability, and potential biases.
  • Synthesis & Adaptation: Identifies common themes, resolves discrepancies between sources, and adapts recommendations to local constraints (budget, compliance, team size).
  • Structured Output: Provides summaries (TL;DR), comparison tables, implementation checklists, and source lists with version information.

Example prompts

  • "Find best practices for microservice deployment on AWS, considering a small development team and strict security requirements."
  • "What are the recommended approaches to data governance in a FinOps environment? Provide a comparison table of different methods."
  • "I need a checklist for implementing a Well-Architected Framework. Include links to official documentation and potential pitfalls."

Tips & gotchas

  • Clear Context is Key: Providing detailed information about the problem, desired outcomes (SLOs/compliance), technical environment, constraints, and preferred output format will improve results.
  • Source Reliability: The skill filters for credibility but always review sources critically.
  • Adaptation Required: Recommendations are starting points; they need to be adapted based on your specific circumstances.

Tags

🛡️

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Security Audits

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Details

Version
vlatest
License
Author
cklxx
Installs
30

🌐 Community

Passed automated security scans.