Explore our collection of Agent Skills to enhance your AI workflow.
Automates the entire Git staging, committing, and pushing workflow with a single command or shortcut.
Performs a hard reset for specific task types by purging learned playbooks, confidence data, and evaluation history.
Generates structured functional specifications using progressive elicitation and Given/When/Then acceptance criteria.
Executes a single, controlled iteration of the Ralph Wiggum autonomous development cycle for precise debugging and manual oversight.
Orchestrates multiple AI agents to work simultaneously on a shared codebase using task-locking and git-based isolation strategies.
Standardizes SQL queries using a professional, vertically-aligned, and lowercase formatting style for improved readability.
Manages Jira issues and project workflows directly from the terminal using the jira-cli integration.
Validates code changes through automated testing, build verification, and AI-driven code reviews to ensure deployment readiness.
Automates the creation and refinement of Claude Code skills using Anthropic-aligned best practices and built-in validation.
Initializes a structured environment for autonomous software development using the Ralph Wiggum iterative context technique.
Orchestrates a multi-agent workflow to analyze completed work, update documentation, and suggest next steps before ending a session.
Transforms ambiguous requests into precise, actionable technical specifications through structured, hypothesis-driven questioning.
Orchestrates the complete spec-driven development lifecycle through specification, planning, implementation, and validation phases.
Automates the entire Git workflow from staging changes and generating Conventional Commits to creating GitHub Pull Requests.
Initiates an autonomous agent loop that iteratively executes software development tasks with fresh context and automatic commit squashing.
Conducts deep codebase research and technical impact analysis to scope projects and investigate issues without modifying code.
Generates a comprehensive HTML report of your entire Claude Code history across all projects, including time spent, git commits, and workflow analysis.
Retrieves real-time documentation for project-specific technologies using Context7 MCP.
Converts any URL into clean, structured Markdown with YAML metadata for efficient content consumption and LLM processing.
Orchestrates the integration between GTD and PARA methodologies to streamline personal organization and task execution.
Claims and executes individual tasks from the Trellis management system using a structured research and implementation workflow.
Integrates Serena MCP to maintain and leverage persistent project context and memories during development tasks.
Reviews code changes from completed task implementations for correctness, completeness, and technical simplicity.
Orchestrates complex feature implementations by managing parallel tasks, automated code reviews, and unified commits.
Generates platform-optimized, AI-powered image variations for advertising campaigns using Google Gemini.
Extracts and structures core business competencies, technical stacks, and performance metrics from corporate documents automatically.
Protects sensitive credentials and API keys by managing them securely through an encrypted vault and redacted command execution.
Generates professional, plan-aware Git commit messages with automated AI attribution and structured formatting.
Streamlines the systematic research process, from database searching and screening to thematic synthesis and citation management.
Streamlines Galaxy Project development by proactively routing tasks to specialized tools and enforcing codebase conventions.
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