Individual skill
lindy-cost-tuning
Optimize Lindy AI costs through credit management, model selection, and agent consolidation. Use when reducing spend, analyzing credit usage patterns, or optimizing budget allocation across agents. Trigger with phrases like "lindy cost", "lindy billing", "reduce lindy spend", "lindy budget", "lindy credits".
plugins/saas-packs/lindy-pack/skills/lindy-cost-tuning/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Last checked
- Nov 12, 2026
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- Repository stars (not skill ratings)
- 2,916
- Repository last updated
- Nov 12, 2026
- License
- MIT
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- 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
- cost-optimization Declared skill tag
- engineering Derived category
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SKILL.mdcore · 6,906 bytesreferences/implementation-guide.mddoc · 3,702 bytesreferences/implementation.mddoc · 3,423 bytes
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# Lindy Cost Tuning
## Overview
Lindy uses a credit-based pricing model. Every task costs credits based on model
size, step count, premium actions, and duration. Cost tuning targets: model
right-sizing, agent consolidation, trigger optimization, and credit monitoring.
## Prerequisites
- Lindy workspace with billing access
- Multiple active agents to evaluate
- Dashboard access to review per-agent task history
## Credit Cost Reference