Skill UI

This module provides robust patterns for managing rate limits and throttling when integrating with external APIs (e.g., Flexport). It covers three key strategies: monitoring rate limit headers (X-RateLimit-*), implementing exponential backoff with jitter for transient 429 or 5xx errors, and utilizing queue-based throttling for safe, controlled bulk operations. It ensures resilient and reliable API communication.

This skill guides users through setting up robust, production-grade infrastructure on Fly.io. It covers creating and connecting to Fly Postgres clusters for reliable data storage, provisioning persistent NVMe Volumes for durable file storage, and configuring private internal networking (6PN) for secure service-to-service communication. It is essential for modern microservices requiring stable databases and persistent state.

This skill establishes CI/CD pipelines for complex financial workflows, including expense tracking, budget alerts, and compliance reporting for startup accounting (Fondo). It runs comprehensive unit and integration tests on every pull request and main branch merge, validating data transformation, monitoring filing deadlines, and ensuring live API connectivity to maintain financial data integrity and compliance.

Implement robust, real-time financial workflows by utilizing webhooks from major financial providers. This skill connects services like Stripe (revenue), Gusto (payroll), Plaid (transactions), and Mercury, allowing developers to build automated processes for revenue tracking, payroll cost alerts, and expense monitoring within a unified system.

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.

A comprehensive guide to production-ready, robust coding patterns for Framer development. This resource covers key areas including type-safe CMS interactions, plugin state management hooks, reusable component architectures, and server API wrappers. Use this when refactoring existing SDK usage or establishing scalable coding standards for complex Framer integrations.

This skill acts as the interactive command center for the Freshie ecosystem's CMDB. It tracks plugins, skills, and packs, providing comprehensive health checks, compliance validation, and historical trend analysis across 50 tables. Use it for running discovery scans, auditing compliance grades, querying deep inventory data, or generating detailed status reports.

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.

Automates the CI/CD process for Glean enterprise search connectors. This tool runs comprehensive unit tests with mocked responses on every Pull Request, and executes integration tests against a staging Glean instance upon merging to the main branch. It validates connector data transforms, indexing API calls, and performs search relevance regression testing to ensure high search quality.

This skill demonstrates the complete workflow for integrating with the Glean platform. It guides users through three core steps: setting up a custom data source using the Indexing API, programmatically indexing documents, and executing advanced search queries using the Client API. This is essential for developers starting new Glean connectors or needing to test their search pipelines.