Discover Agent Skills for productivity & workflow. Browse 170 skills for Claude, ChatGPT & Codex.
Accelerates pattern and anti-pattern detection by 70% using a structured narrative framework that mirrors investigative logic.
Automates the setup of production-ready development environments by coordinating AI documentation, code quality tools, and testing infrastructure.
Standardizes git commit messages to enable automated versioning and structured project history.
Automates the setup and management of project-specific Model Context Protocol (MCP) servers for enhanced AI reasoning.
Analyzes project features against Ideal Customer Profile (ICP) needs to identify product gaps and prioritize development roadmaps.
Automatically identifies and documents coding preferences, style guidelines, and project rules from natural conversation.
Automates the generation of project-specific development rules and standards directly from Product Requirements Documents.
Extends effective AI context capacity through advanced compression, masking, and partitioning techniques.
Stress-tests business models and identifies scaling bottlenecks using the Hormozi 10x growth framework.
Logs coding sessions, tracks architectural decisions, and maintains project context through standardized daily documentation files.
Orchestrates the complete setup of production-grade project environments with AI-first documentation, code quality enforcement, and automated testing hooks.
Routes software development lifecycle requests to specialized workflows based on CMMI maturity levels to ensure appropriate project rigor.
Generates structured, atomic implementation plans for complex multi-step coding tasks to ensure consistency and reliable handoffs.
Transforms WhatsApp into a mobile-first interface for capturing tasks, receiving daily briefings, and managing habits within the ExoMind ecosystem.
Executes structured product requirements through a systematic TDD workflow with automated validation gates and progress tracking.
Enforces a rigorous specification-driven development cycle to prevent architectural drift and errors in AI-assisted coding.
Generates visual project progress reports and completion statistics from feature tracking data.
Manages Apple Reminders directly from the macOS terminal using the remindctl utility.
Enforces a structured spec-to-verification workflow to ensure technical rigor and prevent failures in non-trivial AI coding tasks.
Guides the incremental adoption of CMMI and SDLC processes for software projects without disrupting active development workflows.
Codifies development session insights into reusable project rules, skill improvements, and automation recipes.
Transforms complex terminal outputs into clean, readable HTML pages for easier review and data management in the browser.
Generates comprehensive Product Requirement Prompts (PRPs) that provide AI agents with the full context needed to deliver production-ready code on the first attempt.
Automatically determines and executes the next logical step in your development blueprint workflow based on repository state.
Streamlines task delegation by creating isolated, TDD-focused work orders with optional GitHub issue integration.
Standardizes the progression of AI feature autonomy from human-in-the-loop to autonomous action.
Synchronizes feature tracking data with project documentation and TODO lists to maintain a consistent record of development progress.
Refines post-launch AI feature performance through systematic error analysis, evaluation reviews, and autonomy level adjustments.
Scaffolds a comprehensive .agents/ folder structure to streamline AI-first development workflows and session tracking.
Generates structured Product Requirements Documents and task tracking files to enforce a planning-first development workflow.
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