lindy-observability

Monitor Lindy AI agent execution health, task completion rates, step-level failures, trigger frequency, and credit consu...

github

lindy-multi-env-setup

Isolate Lindy AI agents across development, staging, and production using separate workspaces, dedicated API keys, and e...

github

lindy-migration-deep-dive

Migrate existing automation workflows from Zapier, Make (Integromat), n8n, LangChain, or custom code to Lindy AI. Key in...

github

lindy-local-dev-loop

Lindy agents run on Lindy's managed infrastructure — you do not run agents locally. Local development focuses on buildin...

github

lindy-install-auth

Lindy AI is a no-code/low-code AI agent platform. Agents ("Lindies") are built in the web dashboard at https://app.lindy...

github

lindy-incident-runbook

Incident response procedures for Lindy AI agent failures. Covers platform outages, individual agent failures, integratio...

github

lindy-hello-world

Build a minimal Lindy AI agent: Webhook Received trigger -> LLM processing -> Slack notification. Demonstrates the three...

github

lindy-enterprise-rbac

Lindy organizes access around workspaces where agents live. Team members are assigned roles that control who can create,...

github

lindy-debug-bundle

!node --version 2>/dev/null || echo 'Node.js not installed' !python3 --version 2>/dev/null || echo 'Python not installed...

github

lindy-data-handling

Lindy agents process data through triggers, LLM calls, actions, knowledge bases, and memory. Data flows through Lindy's ...

github

lindy-cost-tuning

Lindy uses a credit-based pricing model. Every task costs credits based on model size, step count, premium actions, and ...

github

lindy-core-workflow-b

Configure trigger-based automation, scheduled agents, and multi-agent delegation ("Societies of Lindies"). Covers all tr...

github

lindy-core-workflow-a

Complete workflow for creating, configuring, and testing Lindy AI agents. Agents consist of four components: Prompt (beh...

github

lindy-common-errors

Troubleshooting guide for Lindy AI agent errors. Lindy agents fail at specific points in the workflow: trigger reception...

github

lindy-ci-integration

Lindy agents run on Lindy's managed platform — CI/CD tests your integration code: webhook receivers, callback handlers, ...

github

sentry-enterprise-rbac

Configure Sentry's Organization-Team-Project hierarchy, role assignments, SSO/SAML2 federation, SCIM automated provision...

github

lindy-security-basics

Security practices for Lindy AI agents. Agents are autonomous — they connect to external services, execute actions, and ...

github

optimizing-cache-performance

Analyze and optimize caching strategies for Redis, Memcached, and in-memory caches by tuning hit rates, TTL configuratio...

github

iam-policy-reviewer

This skill provides automated assistance for iam policy reviewer tasks within the Security Advanced domain. This skill a...

github

mindtickle-common-errors

MindTickle's API powers sales enablement workflows including course management, quiz administration, user provisioning v...

github

framer-sdk-patterns

Production-ready patterns for Framer plugins, Server API, code components, and CMS integrations. Covers plugin architect...

github

deepgram-install-auth

!npm list @deepgram/sdk 2>/dev/null || echo '@deepgram/sdk not installed' !pip show deepgram-sdk 2>/dev/null | grep Vers...

github

evernote-performance-tuning

Optimize Evernote API integration performance through response caching, efficient data retrieval, request batching, conn...

github

clickhouse-local-dev-loop

Run ClickHouse in Docker for local development with fast schema iteration, seed data, and integration testing using vite...

github