Complexity Guardrails
Complexity Guardrails streamlines responses by proactively limiting excessive detail and ensuring focused, relevant outputs for clarity and efficiency.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add complexity-guardrails npx -- -y @trustedskills/complexity-guardrails
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"complexity-guardrails": {
"command": "npx",
"args": [
"-y",
"@trustedskills/complexity-guardrails"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The complexity-guardrails skill helps AI agents avoid generating overly complex or verbose responses. It refines output to be more concise and easier to understand, preventing unnecessary jargon or convoluted explanations. This promotes clarity and ensures the agent's communication is accessible to a wider audience.
When to use it
- Simplifying technical explanations: When an agent needs to explain a complex topic like coding concepts or financial regulations.
- Generating summaries: To create brief, digestible overviews of lengthy documents or articles.
- Improving chatbot interactions: To ensure responses are clear and avoid overwhelming users with information.
- Content creation: For generating marketing copy or blog posts that need to be easily understood by a general audience.
Key capabilities
- Concise output generation
- Jargon reduction
- Verbose language simplification
- Improved clarity of explanations
Example prompts
- "Summarize this article about quantum physics in simple terms."
- "Explain the concept of blockchain without using technical jargon."
- "Rewrite this paragraph to be more concise and easier to understand."
Tips & gotchas
This skill works best when combined with other skills that provide detailed information. It's a refinement tool, not a source of knowledge itself.
Tags
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