Explore our collection of Agent Skills to enhance your AI workflow.
Designs and implements structured multi-skill pipelines using artifact-based state management for complex AI development tasks.
Implements Anthropic's JSON outputs mode to guarantee schema-compliant data extraction and production-ready API responses.
Implements comprehensive testing strategies for React Native apps including unit, component, and E2E tests.
Analyzes branch changes against origin/main to identify bugs, risks, and optimization opportunities using merge-base diffs.
Implements standardized QA frameworks and test design patterns to ensure comprehensive software quality and accessibility coverage.
Optimizes React and Next.js applications using industry-standard performance patterns and Vercel Engineering guidelines.
Manages the full lifecycle of HaloPSA service desk tickets, including creation, status updates, SLA tracking, and internal documentation.
Provides curated typeface catalogs, professional font pairing strategies, and ready-to-use CSS snippets for high-quality web typography.
Implements modern, responsive UI styling using Tailwind CSS v4 utilities and CSS-first configuration patterns.
Automates the creation of conventional, emoji-prefixed git commits while ensuring code quality through integrated pre-commit checks.
Streamlines the creation and testing of static analysis rules for Java applications using the Inspequte engine.
Builds comprehensive, professional-grade brand identity systems from strategic positioning to implementation-ready design tokens.
Simplifies interaction with the Microsoft PowerPlatform Dataverse Client SDK for building robust Python integrations.
Automates the software release process by bumping versions, tagging git commits, and pushing updates to remote repositories.
Implements robust repository patterns and offline-first caching strategies for enterprise-grade Flutter application development.
Implements Go unit tests and mocks using the Testify framework following Test-Driven Development best practices.
Automates the bug-fixing process in Go projects using Test-Driven Development (TDD) and semantic code search.
Conducts deep technical research and generates comprehensive planning reports for scalable, secure, and maintainable software solutions.
Transforms product requirements into actionable implementation plans with automated task breakdowns and visual Kanban tracking.
Retrieves comprehensive Jira ticket details to provide Claude with essential requirements and project context.
Manages Git worktrees to enable parallel development across multiple branches without context-switching overhead.
Checks the archival status and availability of URLs within the Internet Archive's Wayback Machine.
Bootstraps and configures intelligent AI agents using the Google Agent Development Kit (ADK) with support for multiple LLM providers.
Transforms unstructured conversations and transcripts into organized, professional documentation within Notion.
Fetches and decodes the primary documentation file from any public or private GitHub repository.
Implements new Go features using Test-Driven Development (TDD) by analyzing requirements and existing code patterns to ensure high-performance, race-free delivery.
Orchestrates specialized AI agents to conduct systematic, multi-disciplinary research and synthesis on complex topics.
Analyzes code and architecture to identify performance bottlenecks, latency issues, and resource inefficiencies in data structures.
Parallelizes Claude sessions by forking the current conversation into a new tmux or screen window for experimental branching.
Automates the creation and validation of project documentation using the GoodDocs framework and templates.
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