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". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill lindy-performance-tuning --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Lindy Performance Tuning ## Overview Lindy agents execute as multi-step workflows where each step (LLM call, action execution, API call, condition evaluation) adds latency and credit cost. Optimization targets: fewer steps, smaller models, faster actions, tighter prompts. ## Prerequisites - Lindy workspace with active agents - Access to agent Tasks tab (view step-by-step execution history) - Und
What does the lindy-performance-tuning skill do?
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". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill lindy-performance-tuning --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.