Skill UI

Guides a structured walkthrough for onboarding into unfamiliar codebases by covering quick overviews, stack detection, directory mapping, pattern spotting, workflow checks, and summary reporting so teams can answer "how does this work" with confidence.

This pattern demonstrates how to automate workflows around CodeRabbit reviews. By utilizing GitHub API, TypeScript, and Bash scripting, users can programmatically fetch review results, extract detailed line-level comments, trigger specific CodeRabbit actions (like 'summary' or 'resolve'), and implement CI/CD gates to enforce quality standards before merging.

A comprehensive guide containing minimal working examples for all core Exa search operations. It demonstrates basic metadata search, deep content extraction (text, highlights, summary), finding semantically similar pages, and retrieving content for specified URLs. Ideal for developers starting a new Exa integration or learning advanced RAG patterns.

This script provides a complete solution for setting up a webhook receiver for Fireflies.ai. It includes crucial HMAC-SHA256 signature verification to ensure data integrity, and then uses the Fireflies API to fetch the full transcript details, summary, and action items. Ideal for building real-time meeting intelligence pipelines, integrating meeting data into CRMs, or automating task creation.

This guide demonstrates the basic workflow for building an AI agent using a webhook trigger. The agent receives structured data (payload), utilizes an LLM to extract key information and generate a concise summary (summarization step), and finally executes an action by posting the summary to Slack or sending an email. Ideal for beginners learning about AI agent architecture, testing data flow, and implementing simple automated system notifications.

A comprehensive, production-ready toolkit for robustly debugging and monitoring Linear API integrations. This bundle includes features like an instrumented client wrapper for detailed request/response logging, a performance request tracer with summary statistics (avg, p95, max latency), a health check utility, and an environment validator. Ideal for developers setting up logging, performance monitoring, or debugging utilities in a live SaaS environment.

A placeholder skill definition that outlines where to insert a descriptive summary and usage guidance so Claude knows when to call this template.

Configure a comprehensive local development environment for integrating the TwinMind API. This guide walks you through setting up a project structure, configuring environment variables, and building a reusable client class using TypeScript and Axios. It is ideal for developers building applications that require local testing of transcription, summary generation, or meeting automation workflows.

This skill automatically generates structured and user-friendly changelogs by analyzing the complete git commit history. It groups commits by time period (daily/weekly) and classifies changes into key categories (Features, Fixes, Docs, etc.), providing a concise summary of recent development activity for end-users. Ideal for answering 'what changed recently' or summarizing project updates.

This skill provides a robust system for tracking all code modifications using structured JSON records and enforcing a defined state machine (e.g., planned -> deployed). It is critical for AI coding workflows, ensuring that if a session expires or is abandoned, the next session receives the full context, progress summary, and blockers to resume seamlessly. Ideal for complex, multi-stage development projects and onboarding new codebases.

This tool generates highly standardized and ultra-compressed commit messages following the Conventional Commits specification. It ensures that commits are concise, professional, and adhere to strict formats (e.g., type(scope): summary). It intelligently generates a body only when the context (like breaking changes or complex reasoning) requires it, significantly reducing noise and maintaining a clean, clear project history.

This guide outlines comprehensive best practices for documenting C# APIs using XML comments. It provides detailed rules for writing summaries, documenting parameters, return values, constructors, properties, and handling exceptions. Following these standards ensures that C# codebases are highly maintainable, readable, and easily understood by other developers.