Discover Agent Skills for productivity & workflow. Browse 170 skills for Claude, ChatGPT & Codex.
Orchestrates parallel research subagents across codebase, documentation, and web sources to build comprehensive technical context before implementation.
Implements a robust background task management system using APScheduler for complex scheduling and Celery for distributed execution.
Defines and configures custom slash commands for AI agents within the Traycer enforcement framework using standardized Markdown templates.
Dispatches multiple concurrent AI agents to investigate and resolve independent software failures and bugs simultaneously.
Configures a detailed, four-line Powerline-style status bar to monitor project context, Git status, and usage limits in real-time.
Optimizes coding efficiency through semantic LSP navigation and symbol-based modifications for high-quality software development.
Optimizes token usage and enhances model performance by implementing a progressive disclosure strategy for loading skill context.
Enriches Jira issues with technical requirements, dependency mapping, and complexity estimates through intelligent analysis.
Saves and manages AI workflow states to enable seamless task resumption using Serena MCP memory.
Executes complex implementation plans using parallel or sequential subagents with mandatory review checkpoints and task batching.
Transforms user-provided business processes and task flows into standardized, high-quality Claude Code workflow skill documentation.
Validates technical implementation plans across completeness, quality, feasibility, and scope dimensions before execution.
Synchronizes Claude Code permissions with marketplace bundles and implements the streamlined executor pattern for script management.
Generates granular, step-by-step implementation plans with exact file paths and code examples for zero-context engineering tasks.
Executes complex implementation plans by dispatching fresh subagents for independent tasks with automated quality gates between each step.
Streamlines the implementation process by guiding Claude through navigating, reading, and updating structured specification files.
Dispatches multiple concurrent Claude agents to investigate and resolve independent software failures simultaneously.
Transforms solution outlines into optimized, executable tasks by delegating to specialized implementation skills within the Plan Marshall framework.
Saves and resumes Claude Code workflow states across research, planning, and execution phases using Serena MCP memory.
Automates the generation of structured Korean-language Claude Code skills following progressive disclosure principles.
Leverages vector-based institutional memory to inform AI coding tasks with historical patterns and past solutions.
Automates the end-to-end development cycle by transforming specification files into fully tested applications through continuous, autonomous coding sessions.
Accelerates development by dispatching parallel subagents for independent tasks with integrated code review quality gates.
Provides a standardized framework and automated tools for building modular Claude Code skills that incorporate specialized workflows, scripts, and domain knowledge.
Automates the execution of plugin development tasks by iterating through planned steps, applying domain-specific changes, and verifying results.
Breaks down monolithic implementation plans into atomic, parallelizable tasks for efficient AI subagent execution.
Automates the execution of complex development plans by dispatching isolated subagents for individual tasks with integrated code review gates.
Provides rigorous, pressure-tested feedback on ideas and proposals to identify blind spots and evaluate logical soundness.
Develops and stress-tests rigorous business strategies using the Richard Rumelt framework and multi-model adversarial debates.
Manages macOS calendar events and reminders directly within Claude Code to streamline scheduling and task organization.
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