pymatgen
Comprehensive Python toolkit for computational materials science, crystal structure analysis, phase diagrams, and Materials Project data integration.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
539 skills found
Comprehensive Python toolkit for computational materials science, crystal structure analysis, phase diagrams, and Materials Project data integration.
Create and test AI-ready MCP tools for any web application. Inject code, automate browser interactions, and turn websites into intelligent agents.
Convert markdown PRDs into structured prd.json files for the Ralph autonomous AI agent system to enable repeatable, context-aware software development.
Generate AGENTS.md and AI configuration files (Cursor, Claude, Gemini, Copilot) for your project to streamline your vibe-coding workflow and maintain context across sessions.
The final execution agent for the vibe-coding workflow. Builds your MVP incrementally by following the AGENTS.md master plan, managing session continuity, and verifying each feature via testing.
Capture a complete debuggee state snapshot, including all committed memory regions and processor registers, for offline analysis and forensic investigation.
Autonomous multi-agent orchestration framework for Claude Code with memory-driven workflows, parallel-first task execution, Aristotle-based deconstruction, and multi-stage quality gates.
Focus testing effort on highest-risk areas using risk assessment and prioritization. Use when planning test strategy, allocating resources, or making coverage decisions.
Initialize and configure Trigger.dev in your project. Essential for setting up the SDK, project configuration, directory structure, and your first background task.
A comprehensive financial modeling suite for investment analysis, featuring DCF valuation, sensitivity testing, Monte Carlo simulations, and scenario planning.
A wise conductor of expert agents. It helps you achieve goals by summoning, orchestrating, and creating specialized AI experts. Features intellectual humility, multi-agent debate, and self-learning pattern capture.
Manage a 3-node Proxmox VE cluster (Matrix/Virgo-Core) including CEPH storage, VLAN networking, and automated VM provisioning via Python, Ansible, and Terraform.