Browse skills

This "Stop Loss Check" verifies if your current stop-loss order is appropriately placed to manage risk and protect profits based on market fluctuations.

Automates production readiness checks using a LangChain workflow and custom checklist from jeremylongshore.

This skill generates a comprehensive release readiness checklist to ensure deployments are smooth and minimize potential issues – vital for DevOps success.

The Joelclaw System Check verifies your AI's operational status and identifies potential issues for optimal performance and reliability.

Analyzes battles from Ma167 to identify key strategies, unit strengths/weaknesses, and optimal tactics for improved gameplay understanding.

Analyzes enemy AI behavior patterns, predicting actions and identifying vulnerabilities for strategic advantage.

Analyzes curriculum structure & student outcomes to identify areas for improvement and personalized learning adjustments.

Generates new, functional agent skills based on provided descriptions and desired capabilities for cfircoo agents.

Automates backend deployment and hosting setup across various platforms using pre-configured templates.

Automates infrastructure provisioning, configuration, and real-time monitoring stack deployment based on defined specifications.

Automatically deploys microservices to cloud environments based on configuration files and defined workflows.

Automates railway deployment pipeline adjustments based on real-time data, optimizing performance and minimizing disruption for adaptationio users.

Automate LangSmith deployment and configuration for seamless LLM observability and debugging workflows.

Automates software release pipelines, streamlining deployments and reducing errors through intelligent automation.

Continuously monitors system logs and metrics, alerting on anomalies and providing detailed troubleshooting data.

Automatically tracks key stock sector performance metrics and alerts DevOps on anomalies impacting infrastructure dependencies.

This skill leverages Deepgram to identify and flag frequent speech recognition errors, improving transcription accuracy and reducing manual correction needs.

Documenso Common Errors identifies and suggests corrections for frequently made mistakes in documents, boosting accuracy and efficiency.

This skill identifies and corrects frequent grammatical and stylistic errors in granola-related content, improving clarity and professionalism.

This skill identifies and corrects frequent mistakes in clerk-related prompts, improving response quality and reducing user frustration.

This "Error Recoverer" intelligently corrects minor inconsistencies and typos in user input for more accurate responses and a smoother experience.

Automatically generates test cases and debugs code bundles based on clay models, improving software quality.

Analyzes ideogram generation prompts & outputs to identify errors, biases, and areas for improvement in AI image creation.

Automatically generates test cases & debugs code issues using a curated set of techniques from jeremylongshore.