Discover Agent Skills for productivity & workflow. Browse 170 skills for Claude, ChatGPT & Codex.
Decomposes complex objectives into atomic, verifiable tasks for structured subagent execution and observability.
Determines the optimal path for error resolution by routing complex development tasks to either AI researchers or human intervention.
Automates the end-to-end spec-driven development lifecycle from initial research to autonomous code implementation.
Generates rigorous, execution-ready implementation plans featuring complete code blocks and exact file paths for autonomous agents.
Optimizes AI agent performance by implementing structured summarization and token-efficient context management for long-running sessions.
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.
Extracts high-quality still frames and thumbnails from video files using FFmpeg directly from the terminal.
Automates and coordinates Claude Code operations through intelligent pre- and post-task hooks with MCP integration and neural pattern learning.
Orchestrates sophisticated multi-agent pipelines by streaming data through sequential processing steps and complex transformations.
Orchestrates complex distributed workflows using multi-agent swarm patterns for research, development, and quality assurance.
Manages and automates professional, value-driven follow-ups for stalled communications to ensure momentum without being intrusive.
Enables structured, multi-step reasoning with the ability to revise earlier thoughts and explore alternative solution branches during complex problem-solving.
Transforms requirements into a comprehensive, navigable design catalog using EventStorming methodology and Mermaid diagrams.
Stores and retrieves project knowledge using semantic search and automatic embeddings for long-term context retention.
Creates, edits, and analyzes Word documents with advanced support for tracked changes, XML manipulation, and formatting preservation.
Configures comprehensive agent profiles and orchestrates complex AI workflows through the definition of skills, subagents, and Model Context Protocol (MCP) integrations.
Establishes a persistent, quality-focused execution mode that empowers Claude to work independently until complex development goals are fully realized and verified.
Configures a high-performance Zsh environment optimized for Claude Code development with custom themes, fonts, and CLI completions.
Automates complex development workflows through an interactive REPL interface with full session management and multimodal support.
Optimizes AI token usage through phase-aware context checkpointing and compaction workflows for long-running development tasks.
Standardizes the project completion phase by enforcing test passes and providing structured Git hand-off options.
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