Identify and avoid Retell AI anti-patterns and common integration mistakes. Use when reviewing Retell AI code for issues, onboarding new developers, or auditing existing Retell AI integrations for best practices violations. Trigger with phrases like "retellai mistakes", "retellai anti-patterns", "retellai pitfalls", "retellai what not to do", "retellai code review".
Execute Fireflies.ai incident response procedures with triage, mitigation, and postmortem. Use when responding to Fireflies.ai-related outages, investigating errors, or running post-incident reviews for Fireflies.ai integration failures. Trigger with phrases like "fireflies incident", "fireflies outage", "fireflies down", "fireflies on-call", "fireflies emergency", "fireflies broken".
Execute Fireflies.ai production deployment checklist and rollback procedures. Use when deploying Fireflies.ai integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "fireflies production", "deploy fireflies", "fireflies go-live", "fireflies launch checklist".
Comprehensive debugging toolkit for Lindy AI agents. Use when investigating complex issues, collecting diagnostics, or preparing support tickets. Trigger with phrases like "lindy debug", "lindy diagnostics", "lindy support bundle", "investigate lindy issue".
Build LangChain agents with tools for autonomous task execution. Use when creating AI agents, implementing tool calling, or building autonomous workflows with decision-making. Trigger with phrases like "langchain agents", "langchain tools", "tool calling", "langchain autonomous", "create agent", "function calling".
This skill optimizes deep learning models using various techniques. It is triggered when the user requests improvements to model performance, such as increasing accuracy, reducing training time, or minimizing resource consumption. The skill leverages advanced optimization algorithms like Adam, SGD, and learning rate scheduling. It analyzes the existing model architecture, training data, and performance metrics to identify areas for enhancement. The skill then automatically applies appropriate optimization strategies and generates optimized code. Use this skill when the user mentions "optimize deep learning model", "improve model accuracy", "reduce training time", or "optimize learning rate".
Create a minimal working Fireflies.ai example. Use when starting a new Fireflies.ai integration, testing your setup, or learning basic Fireflies.ai API patterns. Trigger with phrases like "fireflies hello world", "fireflies example", "fireflies quick start", "simple fireflies code".
Apply LangChain security best practices for production. Use when securing API keys, preventing prompt injection, or implementing safe LLM interactions. Trigger with phrases like "langchain security", "langchain API key safety", "prompt injection", "langchain secrets", "secure langchain".
Diagnose and fix Perplexity common errors and exceptions. Use when encountering Perplexity errors, debugging failed requests, or troubleshooting integration issues. Trigger with phrases like "perplexity error", "fix perplexity", "perplexity not working", "debug perplexity".
This skill empowers Claude to construct recommendation systems using collaborative filtering, content-based filtering, or hybrid approaches. It analyzes user preferences, item features, and interaction data to generate personalized recommendations. Use this skill when the user requests to build a recommendation engine, needs help with collaborative filtering, wants to implement content-based filtering, or seeks to rank items based on relevance for a specific user or group of users. It is triggered by requests involving "recommendations", "collaborative filtering", "content-based filtering", "ranking items", or "building a recommender".
Optimize LangChain API costs and token usage. Use when reducing LLM API expenses, implementing cost controls, or optimizing token consumption in production. Trigger with phrases like "langchain cost", "langchain tokens", "reduce langchain cost", "langchain billing", "langchain budget".
Incident response procedures for LangChain production issues. Use when responding to production incidents, diagnosing outages, or implementing emergency procedures for LLM applications. Trigger with phrases like "langchain incident", "langchain outage", "langchain production issue", "langchain emergency", "langchain down".
Set up comprehensive observability for LangChain integrations. Use when implementing monitoring, setting up dashboards, or configuring alerting for LangChain application health. Trigger with phrases like "langchain monitoring", "langchain metrics", "langchain observability", "langchain tracing", "langchain alerts".
Diagnose and fix common LangChain errors and exceptions. Use when encountering LangChain errors, debugging failures, or troubleshooting integration issues. Trigger with phrases like "langchain error", "langchain exception", "debug langchain", "langchain not working", "langchain troubleshoot".
Diagnose and fix Fireflies.ai common errors and exceptions. Use when encountering Fireflies.ai errors, debugging failed requests, or troubleshooting integration issues. Trigger with phrases like "fireflies error", "fix fireflies", "fireflies not working", "debug fireflies".
Implement Vast.ai PII handling, data retention, and GDPR/CCPA compliance patterns. Use when handling sensitive data, implementing data redaction, configuring retention policies, or ensuring compliance with privacy regulations for Vast.ai integrations. Trigger with phrases like "vastai data", "vastai PII", "vastai GDPR", "vastai data retention", "vastai privacy", "vastai CCPA".
This skill enables Claude to track and manage AI/ML model versions using the model-versioning-tracker plugin. It should be used when the user asks to manage model versions, track model lineage, log model performance, or implement version control for AI/ML models. Use this skill when the user mentions "track versions", "model registry", "MLflow", or requests assistance with AI/ML model deployment and management. This skill facilitates the implementation of best practices for model versioning, automation of model workflows, and performance optimization.
Execute Retell AI production deployment checklist and rollback procedures. Use when deploying Retell AI integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "retellai production", "deploy retellai", "retellai go-live", "retellai launch checklist".
Feature Engineering Helper - Auto-activating skill for ML Training. Triggers on: feature engineering helper, feature engineering helper Part of the ML Training skill category.
Diagnose and fix common Deepgram errors and issues. Use when troubleshooting Deepgram API errors, debugging transcription failures, or resolving integration issues. Trigger with phrases like "deepgram error", "deepgram not working", "fix deepgram", "deepgram troubleshoot", "transcription failed".
