Productivity & Workflow Agent Skills

File Organizer

Organizes messy directories and manages file clutter using intelligent structure suggestions and duplicate detection.

Behavioral Modes

Optimizes Claude's operational behavior through specialized modes like brainstorm, implement, and debug to match specific task requirements.

Parallel Agent Dispatcher

Orchestrates multiple Claude agents to resolve independent debugging and testing tasks concurrently.

Continuous Learning Assistant

Empowers Claude to refine development patterns and retain project-specific knowledge through iterative learning cycles.

Agent Manager

Orchestrates multiple local CLI agents using tmux sessions and automated scheduling for parallel task execution.

CLI Agent Manager

Orchestrates and manages multiple local CLI agents using tmux sessions for parallel task execution and background monitoring.

Adaptive AI Behavioral Modes

Optimizes AI responses by switching between specialized operational modes like brainstorming, debugging, and implementation based on task requirements.

CLI Agent Manager

Manages multiple local CLI agents via tmux sessions for parallel task execution, monitoring, and scheduling.

Behavioral Modes

Adapts AI operational behavior and output styles to match specific development phases like planning, coding, or debugging.

App Builder Orchestrator

Orchestrates the creation of full-stack applications from natural language prompts by determining project types, selecting tech stacks, and managing specialized agents.

Concise Coding Planner

Generates structured, atomic action plans for coding tasks to streamline development workflows and improve execution clarity.

TDD Implementation Planner

Generates granular, test-driven implementation plans that break down complex features into bite-sized, executable tasks.

Agent Memory MCP

Provides a persistent, searchable memory bank for AI agents to manage architectural decisions, patterns, and long-term project knowledge.

Writing Plans

Generates granular, step-by-step implementation plans using TDD and clean code principles to guide complex development tasks.

OpenClaw Customizer

Configures and optimizes OpenClaw self-hosted AI gateways to connect LLMs with messaging platforms like Telegram, Discord, and WhatsApp.

TDD Implementation Planner

Generates granular, test-driven implementation plans for complex software tasks before any code is written.

Trigger.dev Background Jobs

Orchestrates reliable background tasks, AI workflows, and long-running asynchronous processes with TypeScript-first design.

Agent Memory MCP

Manages persistent, searchable long-term memory and project knowledge for AI agents using the Model Context Protocol (MCP).

Trigger.dev Background Jobs

Automates the creation of reliable background tasks, complex AI workflows, and scheduled jobs using the Trigger.dev framework.

Agent Memory MCP

Provides a persistent, searchable knowledge management system for AI agents to store and retrieve long-term project context.

Codebase Research Orchestrator

Generates targeted research questions to help AI agents understand the current state and architecture of a codebase before implementation.

Swarm Coordination & Multi-Agent Orchestration

Orchestrates complex development workflows by decomposing tasks and managing parallel Claude sub-agents with built-in messaging and file locking.

Personal Tool Builder

Builds custom productivity tools, CLI utilities, and local-first applications by focusing on solving personal pain points first.

Phased Implementation Planner

Generates structured, phased development plans based on research findings and design decisions to ensure incremental, testable progress.

Implementation Iteration Manager

Refines code implementations and processes user feedback by analyzing task history, Git diffs, and project documentation.

Codebase Research Iteration

Refines and updates technical research questions based on user feedback and ticket comments.

Always-On Swarm Guidance

Enforces consistent behavior, tool protocols, and model-specific execution patterns across autonomous agent swarms.

CLI Builder for Bun & TypeScript

Builds high-performance TypeScript command-line tools and developer utilities using the Bun runtime.

Swarm Learning Systems

Implements automated feedback loops and pattern optimization to improve AI task decomposition quality based on historical outcomes.

Swarm Agent Coordination

Orchestrates multi-agent workflows to parallelize complex coding tasks and manage collaborative agent swarms.