claude

lindy-pack

Complete Lindy integration skill pack with 24 skills covering AI assistants, task automation, workflows, and intelligent automation. Flagship tier vendor pack.

2,917 on GitHubby Jeremy Longshorev1.20.0MITupdated 6 days agosaas-packs
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Plugin lindy-pack from marketplace claude-code-plugins-plus in jeremylongshore/tons-of-skills-marketplace. Commands read from the repo's manifest — 6 days ago.

What it installs

Skills (24)

  • lindy-ci-integration

    Configure CI/CD pipelines for testing Lindy AI agent integrations.

  • lindy-common-errors

    Troubleshoot common Lindy AI agent errors and workflow failures.

  • lindy-core-workflow-a

    Build and configure multi-step Lindy AI agent workflows.

  • lindy-core-workflow-b

    Configure Lindy triggers, scheduling, multi-agent delegation, and automation.

  • lindy-cost-tuning

    Optimize Lindy AI costs through credit management, model selection,

  • lindy-data-handling

    Data handling best practices for Lindy AI agents.

  • lindy-debug-bundle

    Comprehensive debugging toolkit for Lindy AI agents.

  • lindy-deploy-integration

    Deploy applications that integrate with Lindy AI agents.

  • lindy-enterprise-rbac

    Configure enterprise role-based access control for Lindy AI workspaces.

  • lindy-hello-world

    Create your first Lindy AI agent with a real trigger and action.

  • lindy-incident-runbook

    Incident response procedures for Lindy AI agent failures and outages.

  • lindy-install-auth

    Set up a Lindy account and authenticated webhook trigger.

  • lindy-local-dev-loop

    Set up local development workflow for testing Lindy AI agent integrations.

  • lindy-migration-deep-dive

    Advanced migration strategies for moving to Lindy AI from other platforms.

  • lindy-multi-env-setup

    Configure Lindy AI across development, staging, and production environments.

  • lindy-observability

    Monitor Lindy AI agent health, task success rates, and credit consumption.

  • lindy-performance-tuning

    Optimize Lindy AI agent execution speed, reliability, and cost efficiency.

  • lindy-prod-checklist

    Production readiness checklist for Lindy AI agent deployments.

  • lindy-rate-limits

    Manage Lindy AI credits, rate limits, and usage optimization.

  • lindy-reference-architecture

    Reference architectures for Lindy AI agent integrations.

  • lindy-sdk-patterns

    Lindy integration patterns for webhook handling, HTTP actions, and

  • lindy-security-basics

    Implement security best practices for Lindy agents and integrations.

  • lindy-upgrade-migration

    Manage Lindy agent configuration changes, platform updates, and migrations.

  • lindy-webhooks-events

    Configure Lindy AI webhook triggers, callback patterns, and event handling.

View source on GitHub tonsofskills.com

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