Explore our collection of Agent Skills to enhance your AI workflow.
Generates structured, risk-aware technical implementation plans from specifications using hexagonal architecture principles.
Automates the process of requesting and summarizing code reviews from Gemini Code Assist for GitHub Pull Requests.
Manages and retrieves Craft.do workspace documents, folders, and daily notes directly from the terminal.
Manages incident triage, logging, and automated rollbacks across production and staging environments.
Creates distinctive, production-grade frontend interfaces with high design quality and unique aesthetic character.
Audits and refactors Makefiles to ensure adherence to best practices, self-documentation, and proper role separation.
Facilitates structured design exploration and technical documentation through iterative dialogue and trade-off analysis.
Executes a secondary debugging protocol to find alternative solutions when initial code fixes fail.
Configures and troubleshoots embedding providers and models for the GrepAI semantic search tool.
Audits Python projects against modern standards for configuration, security, and project structure to ensure code quality.
Optimizes codebases by safely removing dead code, consolidating duplicates, and archiving stale files with mandatory verification gates.
Automates the end-of-session Git workflow by staging, committing, and pushing changes to ensure a clean repository state.
Generates type-safe Pydantic Settings configurations with YAML support for robust Python application management.
Establishes a standardized evaluation framework for AI agents to measure performance and prevent quality regressions.
Validates software changes through automated test execution, acceptance criteria verification, and regression detection to ensure high-quality code delivery.
Executes a structured pre-implementation analysis to map dependencies, architectural patterns, and guardrails before writing production code.
Generates interactive, narrated 9x16 portrait media packages and video assets using semantic HTML and AI voice integration.
Enforces a strict Red-Green-Refactor development workflow to ensure high test coverage and clean code architecture.
Conducts systematic root cause investigations using evidence gathering and hypothesis-based testing to resolve complex software errors.
Executes implementation plans for Ash Framework codebases using a strict test-driven development (TDD) workflow.
Analyzes your codebase to identify technical debt, including dead code, structural duplication, and stale documentation.
Provides a curated library of web shell samples for security research, detection system testing, and authorized penetration testing.
Standardizes the documentation of technical investigations, code analysis results, and research discoveries.
Enhances coding intelligence through automatic codebase indexing, semantic RAG retrieval, and persistent cross-session memory.
Integrates the Serena Model Context Protocol into any software project to enable advanced semantic code navigation and symbol-aware editing.
Implements a robust data persistence layer using Entity Framework Core and Hexagonal Architecture for .NET applications.
Enforces a rigorous four-phase workflow to identify root causes and ensure reliable fixes before modifying code.
Generates factual, precise technical specifications and API reference documentation using standardized, architecture-agnostic templates.
Analyzes and clusters accumulated AI behavioral patterns into reusable skills, commands, and autonomous agents.
Integrates the Moyasar payment gateway into web and mobile applications for Saudi Arabian businesses.
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