Discover Agent Skills for productivity & workflow. Browse 170 skills for Claude, ChatGPT & Codex.
Optimizes AI agent performance by offloading large data to the filesystem for dynamic, on-demand context retrieval.
Orchestrates an automated executor-validator loop to implement features, verify acceptance criteria, and handle retries with systematic checklist tracking.
Orchestrates parallel sub-coordinators using Git worktrees and tmux sessions to execute multi-part development tasks simultaneously.
Enforces a structured multi-agent architecture where the main AI acts strictly as a coordinator by delegating all implementation tasks to specialized subagents.
Deconstructs product requirements documents into actionable mini-PRDs and organized project structures for parallel execution.
Enforces a rigorous four-layer verification protocol and quality gate checks to ensure tasks are fully completed and committed.
Delegates code implementation tasks to specialized workers via MCP to streamline complex development workflows.
Conducts deep complexity assessments and scope analysis for software tasks to ensure accurate planning before implementation.
Optimizes AI agent outputs for terminal readability and speed by enforcing ultra-concise, scannable, and action-oriented communication patterns.
Optimizes agent workflows by intelligently determining when to execute multiple tasks concurrently or sequentially to prevent code conflicts.
Automates complex development workflows through an interactive REPL interface with full session management and multimodal support.
Standardizes the project completion phase by enforcing test passes and providing structured Git hand-off options.
Guides users through mindfulness exercises, meditation practices, and stress reduction techniques to improve focus and mental well-being.
Generates comprehensive, implementation-ready project specifications and architectural plans through an intelligent interview process.
Enforces a research-driven approach to coding by validating solutions and autonomously gathering project context before asking for user input.
Optimizes debugging and development workflows by dispatching multiple independent agents to resolve concurrent tasks simultaneously.
Maintains reliable task state and multi-session continuity through a strict state machine and local file tracking.
Establishes a systematic framework for applying consistent, meaningful iconography to Notion pages and databases to improve visual organization.
Implements structured knowledge management frameworks like PARA, SECI, and CODE specifically for Notion workspaces.
Optimizes AI responses by eliminating conversational filler and maximizing information density for streamlined technical communication.
Enforces rigorous architectural patterns and professional skepticism to ensure high-quality, consistent code through proactive coaching and pattern enforcement.
Guides collaborative software design sessions through structured questioning to validate requirements before writing code.
Generates high-context, actionable engineering tasks using SPIDR and INVEST frameworks to ensure clear, vertical-slice deliverables.
Generates granular, TDD-focused implementation blueprints for complex, multi-step software development tasks.
Ensures Claude treats inquiries as literal questions rather than hidden instructions, preventing unintended actions or premature code changes.
Organizes complex technical tasks into distinct learning, diagnosis, and resolution phases for systematic and evidence-based problem-solving.
Ensures user questions are answered literally and analytically without being interpreted as implicit instructions to change course.
Optimizes the architecture and performance of autonomous Claude subagents through proven design principles and standardized patterns.
Standardizes the creation and configuration of specialized subagents within the Claude Code environment.
Generates structured, actionable markdown task lists from software specifications and technical requirements.
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