Skill UI

This guide provides comprehensive security and integration details for the Workhuman Social Recognition and rewards API. Learn how to implement OAuth 2.0, manage peer-to-peer nominations, and sync data bidirectionally with major HRIS platforms like Workday and SAP SuccessFactors. Use cases include building custom recognition workflows and integrating with popular tools like Microsoft Teams and Slack.

This guide provides comprehensive instructions for migrating and integrating with the Workhuman Social Recognition and rewards API. It covers key concepts like peer-to-peer recognition, award levels (bronze to platinum), and bidirectional synchronization with major HRIS systems (Workday, SAP). Use this skill when building robust corporate employee recognition workflows or modernizing HR systems integration.

This guide provides comprehensive instructions for handling Workhuman webhooks events, focusing on employee recognition and rewards APIs. It details key concepts like OAuth 2.0, peer-to-peer recognition, and reward redemption. Use this skill when integrating Workhuman Social Recognition into existing HRIS systems (like Workday or SAP) or automating internal recognition workflows.

This skill provides a comprehensive, structured process for creating and documenting new AI agent skills. It guides the user through gathering requirements, drafting structured files (like SKILL.md, REFERENCE.md), and optimizing descriptions to ensure the agent can correctly identify and utilize the new capability. Use when you need to build, write, or refine a complex, functional skill module for an AI agent.

This skill guides the creation of highly detailed, step-by-step implementation plans for complex features. It enforces best practices like TDD, DRY, and YAGNI, breaking large tasks into small, verifiable units. It is crucial for translating high-level requirements into actionable, commit-ready code blueprints, ensuring engineers understand every dependency and step.

A comprehensive guide on how to write, organize, and optimize skills for AI agents using a Test-Driven Development (TDD) approach, focusing on Claude Search Optimization (CSO) and token efficiency.

This skill guides you through writing, debugging, and optimizing Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Learn to manipulate the entire Illustrator DOM—including documents, layers, paths, text frames, and artboards—to automate complex design workflows, perform data-driven batch processing, and export assets to various formats, significantly enhancing creative efficiency.

A comprehensive guide for writing, debugging, and maintaining Windows batch files (.bat/.cmd). This skill covers advanced CMD scripting techniques, including environment variable management, complex control flow (IF, FOR), argument parsing, delayed expansion, and command chaining. Ideal for automating system tasks, creating command-line utilities (CLI), managing deployments, or writing scheduled task scripts in Windows environments.

This comprehensive guide serves as a decision flowchart for developers using Claude Code. It details when to use specific slash commands (/plan, /compact, /loop), select specialized agents (planner, code-reviewer, build-error-resolver), or invoke workflow skills (e2e-testing, tdd-workflow). It helps users select the optimal tool combination for complex tasks across the entire software development lifecycle, including feature planning, bug fixing, testing, and architectural design.

A comprehensive guide for building, reviewing, and optimizing GraphQL APIs in Golang. This skill covers best practices including robust schema design (nullability, pagination), proper resolver separation, and critical performance optimizations like using DataLoaders to prevent N+1 query issues. Ideal for engineers working with gqlgen or graphql-go.

This skill guides the systematic migration of Java enterprise code from the legacy `javax.*` namespace to the modern `jakarta.*` namespace. It is essential for developers upgrading applications to Jakarta EE 10 or running on Tomcat 11+. The process covers updating imports, modifying dependency coordinates in build files (pom.xml), and adapting web deployment descriptors.

A comprehensive guide for connecting resource-constrained microcontrollers (like Arduino) to Azure IoT Hub and IoT Edge. It provides structured patterns for secure provisioning, handling intermittent networks (store-and-forward), robust telemetry transmission (MQTT over TLS), and implementing local edge decision-making for industrial and field deployments.