Individual skill
lindy-performance-tuning
Optimize Lindy AI agent execution speed, reliability, and cost efficiency. Use when agents are slow, consuming too many credits, or producing inconsistent results. Trigger with phrases like "lindy performance", "lindy slow", "optimize lindy", "lindy latency", "lindy speed".
plugins/saas-packs/lindy-pack/skills/lindy-performance-tuning/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Observed behavior
- Not checked yet
- Last checked
- Nov 12, 2026
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Repository context
- Repository stars (not skill ratings)
- 2,917
- Repository last updated
- Nov 12, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- lindy Declared skill tag
- performance Declared skill tag
- engineering Derived category
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SKILL.mdcore · 9,412 bytesreferences/implementation-guide.mddoc · 4,170 bytesreferences/implementation.mddoc · 3,242 bytes
Read excerpt
# Lindy Performance Tuning
## Overview
Improve a Lindy workflow through controlled, workspace-specific experiments. Measure
the current workflow in Tasks, preserve approval and security boundaries, change one
variable, run the same sanitized fixture/eval cohort, and keep the change only when
predeclared latency, quality, reliability, and cost criteria pass.
## Prerequisites
- Lindy workspace with active agents
- Access to agent Tasks tab (view step-by-step execution history)
- A representative, data-minimized fixture set and offline eval cohort
- Permission to inspect Tasks and restore a saved version