Skill UI

A utility designed to collect comprehensive diagnostic evidence for Framer development issues. It automatically gathers runtime environment details, installed package versions, API connectivity status, and necessary configuration files. Use this when preparing detailed support tickets or troubleshooting persistent bugs related to Framer plugins or server-side APIs.

This comprehensive 'Hello World' guide serves as a foundational tutorial for Framer development. It demonstrates key skills across the ecosystem, including building functional plugins (UI interaction), creating customizable code components with property controls, implementing dynamic code overrides for sophisticated animations, and interacting with the Framer Server API for headless site data management. Ideal for developers starting a new Framer integration or mastering core API patterns.

Provides a comprehensive reference architecture for building production-ready Framer integrations. This guide covers optimal project layout, including plugins, server API backend, CMS synchronization patterns, and advanced code components. Use it when designing new, complex Framer applications or establishing enterprise-level development standards.

This guide provides comprehensive security best practices for developers building with Framer. It covers secure credential management (like API keys and Site IDs), implementing the principle of least privilege, and securing plugins and Server API connections. Use this when auditing your Framer setup or ensuring production-level security for sensitive data handling.

A comprehensive guide to implementing real-time data synchronization and handling event triggers with Framer's API. This skill covers subscribing to CMS changes via WebSockets, implementing secure external webhook endpoints with signature validation, and integrating Framer plugin event listeners for dynamic interaction. Use this when building complex, event-driven web applications connected to Framer.

A comprehensive skill that brings the entire GitHub pull request workflow directly into your terminal. It allows users to view PR status, monitor real-time CI/CD progress, summarize bot comments, and execute merge operations (squash, merge, rebase) without switching to a browser. It consolidates all critical PR information—including file changes and review blockers—into one cohesive view, streamlining the developer workflow and DevOps process.

This powerful orchestrator automates the entire GitHub issue lifecycle. It fetches issues based on criteria (labels, milestones, assignees), spawns specialized sub-agents to implement necessary code fixes, and automatically opens Pull Requests (PRs). Furthermore, it monitors open PRs, addresses review comments, and manages the remediation process, streamlining the development workflow from issue tracking to merge.

This setup implements a pre-execution hook to safeguard code repositories by intercepting and blocking destructive Git operations (e.g., `git push`, `git reset --hard`, `git clean`). It prevents accidental or unauthorized data loss during automated code generation or tool use within AI environments, ensuring robust version control safety.

A comprehensive guide designed to diagnose and resolve common technical errors encountered when integrating with the Glean enterprise search API. It covers critical areas such as token type mismatches, indexing pipeline failures, permission restrictions, and rate limiting, providing actionable fixes for maintaining seamless search functionality.

This skill implements Role-Based Access Control (RBAC) for Glean Enterprise Search. It establishes a secure framework by mapping permissions from various source systems (like AD/Okta) to the centralized search index. The functionality allows management of distinct roles (Super Admin, Admin, Content Manager), performing detailed document access checks via API, and maintaining comprehensive audit logs. This is crucial for maintaining compliance with standards like GDPR and SOC 2.

A comprehensive development workflow solution for integrating with the Glean enterprise search API. It enables developers to simulate local search responses, mock data sources, and test custom connectors and UIs without needing a live Glean deployment. Users can toggle between mock mode for rapid iteration and sandbox mode for validation against a real Glean instance, ensuring a fast feedback loop for building robust enterprise search applications.

This tool provides comprehensive observability for enterprise search systems (Glean). It tracks critical metrics such as search latency (p95), zero-result query rates, indexing throughput, and stale content ratios. By monitoring connector sync status and detecting indexing degradation, it allows teams to proactively maintain search relevance and ensure sub-second response times, preventing silent data quality decay.