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LangSmith Trace Debugger

langsmith-fetch

ComposioHQ/awesome-claude-skills

Fetch execution traces from LangSmith Studio to inspect LangChain/LangGraph agent runs, analyze errors, tool calls, memory usage, and performance, and export sessions for deeper diagnostics using the langsmith-fetch CLI.

Lindy Common Errors

lindy-common-errors

jeremylongshore/claude-code-plugins-plus-skills

Guides developers through diagnosing Lindy AI SDK incidents, covering authentication, rate limits, agent, and tool failures, plus checklists and resources for integration troubleshooting.

Lindy AI Agent Workflow

lindy-core-workflow-a

jeremylongshore/claude-code-plugins-plus-skills

Guided workflow for creating, configuring, testing, and deploying Lindy AI agents, covering specification, tool setup, and validation steps that you trigger when building new agent personas.

Lindy Core Workflow

lindy-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

Configures the Lindy core workflow to automate tasks, schedule Lindy agents, and wire up cron, webhook, or email triggers so AI-driven work runs reliably on a schedule or in response to events.

Lindy Debug Toolkit

lindy-debug-bundle

jeremylongshore/claude-code-plugins-plus-skills

Provides Lindy AI agents with a step-by-step diagnostics suite for environment info, API checks, agent state, run history, and support bundle generation when investigating issues.

Lindy Incident Runbook

lindy-incident-runbook

jeremylongshore/claude-code-plugins-plus-skills

Structured incident response runbook for Lindy AI integrations, guiding teams through diagnostics, severity tiers, escalation, and post-mortem steps during outages.

Lindy Rate Limit Guide

lindy-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

Guides Lindy AI developers through API and agent action rate limit handling, covering request throttling, agent budgets, webhook controls, and error recovery to keep integrations stable.

Lindy Security Practices

lindy-security-basics

jeremylongshore/claude-code-plugins-plus-skills

Guides teams integrating Lindy AI agents through API key protection, permission boundaries, webhook verification, and action auditing to keep autonomous services secure and auditable.

LLM Application Patterns

llm-app-patterns

sickn33/antigravity-awesome-skills

Provides production-ready guidance for constructing retrieval-augmented generation pipelines, agent architectures, and LLMOps best practices, so teams can reliably deploy context-aware AI assistants with vector search, embeddings, and tool use.

LLM Prompt Optimization

llm-application-dev-prompt-optimize

sickn33/antigravity-awesome-skills

Guides expert prompt engineers through advanced LLM prompt optimization techniques—constitutional AI, chain-of-thought reasoning, and model-specific tuning—to boost accuracy, reduce hallucinations, and cut token costs.

LLM Evaluation Toolkit

sickn33/antigravity-awesome-skills

Guides comprehensive evaluation of LLM applications with automated metrics, human reviews, and LLM-as-judge patterns to benchmark prompts, detect regressions, and validate deployments.

LLM Integration Patterns

llm-integration

rohitg00/awesome-claude-code-toolkit

Practical guide to integrating Claude models: covers API client usage, streaming responses, tool calls, RAG pipelines, document chunking, cost-aware model selection, and anti-pattern warnings for efficient LLM workflows.

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