Discover Agent Skills for productivity & workflow. Browse 170skills for Claude, ChatGPT & Codex.
Resumes interrupted AI-driven development sessions by restoring project state and quality gate progress.
Guides developers through a structured interview process to generate comprehensive feature specifications and phased implementation plans.
Sets up the Space-Agents framework and Beads issue tracking within a project directory.
Routes development tasks to specialized analysis modes for brainstorming, planning, reviewing, and debugging.
Monitors project status and progress by orchestrating subagents to analyze tasks, bugs, and blockers while maintaining a lean context.
Aggregates the latest Rust ecosystem updates, official announcements, and community news into structured reports.
Manages Git worktrees to enable seamless parallel development across multiple branches simultaneously.
Captures raw thoughts and brainstorming sessions directly into a personal knowledge base with automated git syncing and Obsidian linking.
Generates the necessary directory structure, SKILL.md files, and supporting documentation for creating new Claude Code Skills.
Opens a new terminal window to run commands, delegate tasks to other AI agents, or start parallel workstreams.
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.
Automates macOS window layouts and tiling using Hammerspoon and hhtwm integration for precise desktop organization.
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.
Refines and validates AI prompts through an iterative fit-to-generalize loop to ensure consistent model behavior across diverse inputs.
Orchestrates parallel sub-coordinators using Git worktrees and tmux sessions to execute multi-part development tasks simultaneously.
Accesses and implements macOS and iOS system sounds for terminal hooks, notifications, and shell script alerts.
Enforces a structured multi-agent architecture where the main AI acts strictly as a coordinator by delegating all implementation tasks to specialized subagents.
Surfaces hidden patterns across code, notes, and data to reveal intuitive insights through cross-domain resonance.
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.
Transforms academic papers from LaTeX or PDF into interactive websites, presentation videos, and professional conference posters.
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