Discover Agent Skills for productivity & workflow. Browse 170 skills for Claude, ChatGPT & Codex.
Generates high-signal state snapshots to maintain development momentum and restore project context after session resets.
Orchestrates end-to-end software development projects from initial specification to production-ready code using fully autonomous workflows.
Visualizes schedules and manages event timelines through an interactive calendar interface within Claude Code.
Manages persistent state and progress tracking for cross-session autonomous coding agents.
Streamlines the cleanup of completed technical changes by batch-archiving OpenSpec entries with intelligent conflict resolution.
Generates structured, phase-based prompts for end-to-end project development using the Ralph Wiggum technique.
Manages the automated registry, proposal system, and lifecycle of specialized AI agents within a local-first workstation.
Analyzes development action logs to identify recurring tasks and suggest high-impact automation opportunities.
Maps feature dependencies and calculates critical paths to optimize the implementation order for complex software projects.
Implements code changes directly from shaped GitHub issues while adhering to defined project constraints and scopes.
Orchestrates autonomous agent pipelines to plan, implement, and validate software builds using isolated git worktrees.
Facilitates the navigation and management of the MOVA Skills Lab for automated skill execution and episode tracking.
Compresses extensive session history into structured handoff logs and backlogs to maintain peak AI performance.
Streamlines AI agent transitions by automating state documentation, log rotation, and secure handoff commits.
Manages and compresses AI context usage to ensure seamless session continuity during long-running development tasks.
Extracts and formalizes recurring patterns and best practices from development experiences to enable continuous ecosystem improvement.
Automates the step-by-step implementation of software tasks based on OpenSpec change specifications.
Provides a comprehensive command-line interface for managing autonomous coding tasks, spec creation, and QA validation within the Auto-Claude framework.
Manages the full lifecycle of autonomous coding sessions by automating initialization, state resumption, and iterative execution flows.
Optimizes context window usage by prioritizing essential information and reducing token consumption during autonomous coding tasks.
Manages the lifecycle of autonomous coding sessions by detecting progress, restoring state, and automating session continuation.
Systematically gathers technical knowledge, patterns, and best practices across the web, GitHub repositories, and MCP servers.
Generates comprehensive, testable feature lists from project specifications to accelerate autonomous development workflows.
Compresses long-running session context into structured handoff files and action logs to maintain AI efficiency.
Orchestrates a comprehensive sequence from architectural design to task breakdown and progress tracking setup.
Parses and validates project specifications to transform requirements into structured data for autonomous coding workflows.
Automates tmux sessions to manage interactive CLI tools, long-running background processes, and multi-agent orchestration.
Executes complex development plans by dispatching fresh subagents for individual tasks with mandatory two-stage quality reviews.
Automates macOS user interfaces through screen capture, element inspection, and programmatic input control.
Optimizes AI agent performance by implementing standardized AGENTS.md context files for reliable, persistent codebase guidance.
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