Agent Performance Engineer
Analyzes agent interactions, identifies bottlenecks, and suggests optimizations to improve efficiency and user satisfaction.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add agent-performance-engineer npx -- -y @trustedskills/agent-performance-engineer
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"agent-performance-engineer": {
"command": "npx",
"args": [
"-y",
"@trustedskills/agent-performance-engineer"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The agent-performance-engineer skill analyzes and optimizes AI agent workflows. It identifies bottlenecks, suggests improvements to prompt structure and chaining, and provides data-driven recommendations for enhancing overall agent efficiency. This includes evaluating token usage, latency, and cost effectiveness of agent operations.
When to use it
- Troubleshooting slow agents: When an agent is taking too long to complete tasks or exhibiting high latency.
- Reducing costs: To identify areas where token consumption can be minimized without sacrificing quality.
- Improving complex workflows: When dealing with multi-step agent processes that require careful orchestration and optimization.
- Evaluating prompt design: When you want feedback on the efficiency of your prompts and how they impact agent performance.
Key capabilities
- Bottleneck identification in agent workflows
- Prompt structure analysis & suggestions
- Token usage optimization
- Latency reduction strategies
- Cost-effectiveness evaluation
Example prompts
- "Analyze this agent workflow: [paste workflow description] and identify potential bottlenecks."
- "How can I reduce token consumption for this prompt chain: [paste prompt chain]."
- "Evaluate the latency of this agent task and suggest improvements."
Tips & gotchas
The skill's effectiveness depends on providing detailed information about the agent’s workflow, including prompts, chains, and any relevant performance metrics. It is best used in conjunction with monitoring tools to gather baseline data for comparison after optimization.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.