Explore our collection of Agent Skills to enhance your AI workflow.
Transforms technical specifications into structured, actionable implementation plans with phases, tasks, and acceptance criteria.
Enforces a strict Taskwarrior and Timewarrior protocol to ensure every coding task is decomposed, tracked, and time-accounted.
Master advanced JavaScript function patterns, scope management, and functional programming techniques for production-grade code.
Optimizes game revenue through ethical monetization strategies, in-app purchase implementation, and balanced economy design.
Builds, debugs, and optimizes interactive AI-driven web applications and games on the DZMM.AI platform using specialized API integration and reusable code patterns.
Refines project specifications, architectural designs, and requirements through systematic gap analysis and iterative validation.
Automates the creation and maintenance of professional, Diátaxis-based documentation synchronized with your codebase.
Transforms project specifications into executable task workflows with structured planning and safety checkpoints.
Performs systematic research and gap analysis for ACP protocol integration and collaboration opportunities.
Generates framework documentation, feature specifications, and architectural decisions directly from existing codebases.
Automates multi-domain data center investment analysis and risk assessment through intelligent document processing.
Orchestrates a specialized multi-agent team to generate professional-quality images and diagrams using the PaperBanana framework.
Automates comprehensive data center investment analysis by orchestrating parallel domain research agents and synthesizing cross-functional risk assessments.
Generates comprehensive, AI-optimized Product Requirements Documents through an adaptive conversational interface.
Refactors large, monolithic Python files into organized, maintainable packages with automated dependency validation.
Executes small, ad-hoc coding tasks with atomic commits and automated tracking while bypassing intensive planning phases.
Analyzes project structures to automatically configure environment settings and development workflows for AI agents.
Validates AI reasoning and planned actions against live system states and real-world tool outputs.
Automates the creation and execution of standardized one-line git commits using the Conventional Commits format.
Automates branch synchronization by intelligently detecting repository remotes and performing safe, fork-aware updates.
Generates LLM-powered evaluation tests for MCP tool collections to validate AI agent performance and workflow reliability.
Automates Linux system administration tasks and workflow processes using advanced Bash scripting and command-line utilities.
Master essential Linux command-line operations for efficient system navigation, file management, and text processing.
Provides comprehensive guidance and implementation patterns for data science, machine learning engineering, and AI application development.
Automates the tracking and documentation of API endpoint coverage to ensure transparency in MCP tool implementation status.
Generates comprehensive integration tests, builders, and helpers for Umbraco MCP tool collections.
Simplifies Git history management by automating the creation of fixup commits and executing autosquash rebases.
Automates the generation of MCP tool collections and registrations from discovered Umbraco API groups.
Analyzes and optimizes MCP servers through trace analysis, behavioral reviews, and architectural guidance for better tool orchestration.
Expertly designs database schemas, optimizes complex SQL queries, and manages data migrations with industry-leading best practices.
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