swe-cli-skills
Expert CLI guides for AI agents, featuring senior engineer workflows, safety guardrails, and operational patterns for cloud, IaC, containers, databases, and dev tools.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
540 skills found
Expert CLI guides for AI agents, featuring senior engineer workflows, safety guardrails, and operational patterns for cloud, IaC, containers, databases, and dev tools.
Interactive Python graphing library for 40+ chart types, scientific visualizations, statistical analysis, and web dashboards using Plotly Express and Graph Objects.
Reverse-engineering specialist for codebase analysis, dependency mapping, and specification extraction from legacy or undocumented systems.
Visual web workspace for roadmap management, providing interactive kanban boards and graph-based dependency views for task planning and project progress tracking.
Pragmatic AI-assisted coding standards focused on clean code, simplicity, and maintainability. Enforces best practices like SRP, DRY, and KISS to prevent over-engineering.
Verify that dotfiles are properly symlinked, synchronised, and configured across the system to ensure development environment health.
Creates professional, editable PowerPoint (.pptx) presentations with AI-generated full-slide images, brand consistency, and style references.
Control the Unity Editor via Claude Code to run tests, compile scripts, manage play mode, and retrieve console logs using a file-based bridge.
Build production-grade AI agents using LangGraph, Anthropic/OpenAI/vLLM, and structured outputs. Features streaming, A2A protocol, Pydantic validation, vector memory, and guardrails for resilient, multi-agent workflows.
Standardized Swift coding conventions, naming rules, and idiomatic patterns for clean, maintainable, and readable iOS/macOS development.
Expert-level Phaser 3 game development agent. Handles scene architecture, Arcade/Matter physics, asset pipelines, sprite animations, and performance optimization for 2D web games.
Evidence-based debugging for Python, Node.js, and Java applications using runtime execution traces and diagnostic MCP tools.