# Lindy Performance Tuning

> Optimize Lindy AI agent performance and response times. Use when improving latency, optimizing throughput, or reducing response times. Trigger with phrases like "lindy performance", "lindy slow", "optimize lindy", "lindy latency".

- Skill: `micsapp/lindy-performance-tuning` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add micsapp/lindy-performance-tuning`
- Raw SKILL.md: https://api.skillmd.com/api/skills/micsapp/lindy-performance-tuning/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: MIT
- Author: micsapp (https://skillmd.com/u/micsapp)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/micsapp/lindy-performance-tuning

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# Lindy AI Performance Tuning

## Overview
Optimize Lindy AI agent execution speed and reliability. Lindy agents run as multi-step automations where each step (LLM call, tool execution, API call) adds latency.

## Prerequisites
- Lindy workspace with active agents
- Access to agent configuration and run history
- Understanding of agent step execution flow

## Instructions

### Step 1: Identify Slow Steps
### Step 2: Consolidate LLM Steps
### Step 3: Cache Agent Context Data
### Step 4: Parallelize Independent Steps
### Step 5: Optimize Trigger Configuration

For detailed implementation code and configurations, load the reference guide:
`Read(${CLAUDE_SKILL_DIR}/references/implementation-guide.md)`

## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| Agent timeout (>60s) | Too many sequential steps | Consolidate steps, add parallel execution |
| Step retry loop | Transient API failure | Set max retries to 2, add fallback step |
| Slow LLM step | Prompt too long or complex | Shorten prompt, use focused instructions |
| High run frequency | Trigger firing too often | Add filters to trigger configuration |

## Examples

**Basic usage**: Apply lindy performance tuning to a standard project setup with default configuration options.

**Advanced scenario**: Customize lindy performance tuning for production environments with multiple constraints and team-specific requirements.

## Output

- Configuration files or code changes applied to the project
- Validation report confirming correct implementation
- Summary of changes made and their rationale

See [ORM implementation details](${CLAUDE_SKILL_DIR}/references/implementation.md) for output format specifications.

## Resources

- Official ORM documentation
- Community best practices and patterns
- Related skills in this plugin pack