Browse skills

Analyzes code repositories to identify potential vulnerabilities and code quality issues, boosting security & maintainability.

Analyzes lab experiment logs from zrt-ai-lab to identify trends, errors, and optimize future research efforts.

Analyzes meeting sessions to identify key topics, sentiment, and participant engagement for actionable insights and improved collaboration.

Analyzes design files (PSD, Figma, Sketch) to identify accessibility issues, style inconsistencies, and optimization opportunities.

Analyzes PLI migration patterns to identify bottlenecks, optimize workflows, and predict potential issues.

This skill automatically calculates and interprets variances in your Excel data, revealing key insights for informed decision-making.

Analyzes logs for patterns & anomalies, quickly identifying issues and improving system performance or troubleshooting problems.

This Requirement Analyzer dissects textual requirements to identify key elements and potential ambiguities, streamlining analysis & ensuring clarity.

Analyzes log files to identify patterns, errors, and anomalies, streamlining troubleshooting and diagnostics for improved system health.

Craft detailed, actionable instructions for other AI agents based on a given task or goal.

Create detailed architectural blueprints and construction plans from text descriptions or image references.

Creates prioritized task lists from project goals, including deadlines and estimated effort, based on user input.

Quickly refresh outdated reports with current data and analysis using caldiaworks' re-generate-report skill.

Generates new, functional AI skills based on provided descriptions and desired capabilities.

Automatically generates draft pull requests from code changes, including title, body, and suggested reviewers.

Automatically creates GitHub issues based on provided text descriptions and project context from ruchernchong.

Automatically generates Architecture Decision Records (ADRs) from project context, streamlining documentation and design rationale.

Automatically generates and submits pull requests to your repository based on yonderlab's analysis and suggested changes.

Automatically generates and submits pull requests to a specified repository based on provided code changes and instructions.

Quickly generate concise notes summarizing key discussion points from meeting transcripts or audio recordings.

Automatically generates a basic website guiding users through a GitHub repository's contents and contribution process.

This skill automatically deploys your code to Railway, streamlining deployments and simplifying server management for your projects.

Automates model deployment pipelines, ensuring rapid iteration and reliable release of machine learning models.

This skill automates ML model deployment to various platforms, streamlining workflows and accelerating time-to-value for your AI solutions.