Browse skills

Generate engaging social media posts (text & image ideas) based on provided OGT character details and campaign lore.

Generates custom AI agent skills based on user prompts, defining actions, tools, and knowledge for specialized tasks.

Automatically generate structured documents like reports or proposals from data and prompts using Parhumm's docs-create.

Helps with deployment, pipeline automation, design as part of automating DevOps pipelines and CI/CD workflows workflows.

Automates PyTorch model deployment to cloud environments, streamlining inference serving and scaling workflows.

Automates Artivilla application deployments across environments, ensuring consistency and reducing manual DevOps effort.

Downloads specified GitHub release assets directly to your workspace, automating deployment material retrieval.

Automatically generates a detailed changelog from your releases and iterations, streamlining documentation & improving transparency for development teams.

Automates software release workflows, triggering deployments and notifications based on code commits and testing results.

Generates draft press releases quickly based on provided details, streamlining communication and saving valuable time for DevOps teams.

Helps with GitHub, management as part of automating DevOps pipelines and CI/CD workflows workflows.

Continuously monitors server health metrics and alerts on anomalies using customizable thresholds and automated reporting.

Continuously tracks system configurations against defined baselines, alerting on deviations and potential security risks.

Continuously assesses conversation context quality, proactively alerting users to potential misunderstandings or derailments.

This skill automatically classifies errors based on their type, streamlining debugging and troubleshooting efforts for faster issue resolution.

Analyzes system logs & user feedback to proactively identify and design solutions for potential error states.

This "Error Recovery" skill automatically attempts to fix common errors in your code, saving you time and frustration by streamlining debugging.

This "Error Handling" skill by kybernetwork gracefully manages and logs errors in your backend applications, improving stability & debugging.

This skill gracefully manages and logs errors in your backend code, improving stability & debugging by providing detailed insights.

This Visual Debugger allows you to step through code execution visually, pinpointing issues and understanding program flow more effectively.

Automatically identifies and suggests fixes for common coding errors in Python projects.

This Notebook Debugger helps identify and fix errors in your Jupyter notebooks by stepping through code execution and inspecting variables – boosting debugging efficiency.

Automatically identifies, fixes, and debugs code errors based on provided error messages and context.

Orchestrates parallel debugging sessions across multiple environments, accelerating test iteration and root cause analysis.