Discover Agent Skills for productivity & workflow. Browse 170 skills for Claude, ChatGPT & Codex.
Translates natural language into safe, POSIX-compliant shell commands with built-in risk assessment and safety validation.
Automates the documentation of incomplete tasks as traceable GitHub issues to facilitate seamless session handoffs.
Audits source code for temporary debug artifacts and markers to ensure clean, production-ready commits.
Installs and initializes an AI-powered task management system for breaking down complex projects into actionable specifications and structured workflows.
Analyzes existing codebases to map architecture, detect tech stacks, and generate persistent continuity ledgers for developers.
Manages a session-specific state file to preserve critical context and project goals across AI context clears.
Synchronizes and manages AI agent skills from local directories and remote Git repositories into a unified catalog with automated precedence handling.
Integrates the Claude CLI to provide recursive AI coding assistance, automated debugging, and sophisticated code generation.
Analyzes productivity patterns and prioritizes tasks using strategic frameworks and data-driven insights.
Provides intelligent briefings, memory recall, and knowledge graph queries to manage project context and pending tasks.
Optimizes Claude Code session efficiency by identifying context consumers and providing strategies to minimize token bloat.
Captures and manages project decisions, task commitments, and organizational knowledge directly within the development workflow.
Builds a custom Dagster Component with demo mode support, a realistic asset structure, and best practices for downstream integration.
Organizes development work within a session by breaking down plans into trackable issues and dependencies.
Implements the Ralph Loop methodology for autonomous, test-driven AI development and iterative feedback cycles.
Powers persistent AI memory by learning from corrections and patterns across sessions to build self-improving development environments.
Syncs and merges SpecWeave instruction files while preserving custom developer modifications through a smart merge system.
Manages complex development workflows by transforming product requirements into structured, trackable tasks with AI-powered complexity analysis.
Builds structured, deterministic conversation flows for Vapi AI agents using visual nodes and conditional logic.
Implements Andrej Karpathy's software engineering principles to reduce LLM over-engineering and improve code reliability.
Orchestrates the Maestro agent ecosystem by routing triggers, managing skill hierarchies, and enforcing workflow policies.
Orchestrates a 10-phase unified pipeline to transform abstract ideas into production-ready implementation plans.
Tracks complex, multi-session software development tasks using graph-based issue management and persistent memory that survives conversation compaction.
Enables multi-agent parallel execution by spawning autonomous workers to handle complex coding tasks simultaneously.
Orchestrates technical implementation through TDD, parallel task routing, and autonomous execution loops.
Initializes the AI music production environment by verifying dependencies, loading project state, and reporting album progress.
Transforms Event Storming results into structured, developer-ready User Stories following INVEST principles and microservices patterns.
Explores and summarizes large-scale data sources and codebases using parallel subagents to provide high-level architectural insights.
Generates a visual progress report for music albums, tracking tracks from concept to final release within the Suno AI workflow.
Analyzes your music project's current state and recommends the single most effective next action to maintain production momentum.
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