wf-player
Resume localise : Objective : Load template, collect missing variables, bind all {variable} references. It covers claude, claude-code, cli-tools workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.
Parcourez et installez des milliers de compétences pour AI Agents dans le répertoire Killer-Skills. Compatible avec Claude Code, Windsurf, Cursor et plus.
Resume localise : Objective : Load template, collect missing variables, bind all {variable} references. It covers claude, claude-code, cli-tools workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.
Resume localise : # Ant Design CLI You have access to @ant-design/cli — a local CLI tool with bundled antd metadata for v4/v5/v6. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.
Agent-browser est un outil d'automatisation de navigateur pour les agents d'intelligence artificielle
Comprehensive guide for building beautiful interactive command-line interfaces using Clack. Use when creating CLI tools with text input, selections, autocomplete, progress tracking, and streaming output.
A scalable, multi-language code analysis framework based on Tree-sitter, usable both as a CLI tool and an MCP server.
Git worktree management CLI tool that displays pull request information alongside your worktree branches.
Resume localise : A CLI tool that renames academic PDF papers using AI-extracted metadata # uv Rules This project uses uv as its Python package and project manager. It covers academic-papers, ai, claude workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.
Porting the Zelda: Wind Waker Three.js project to TSL using AI tools
The dot-ai skill utilizes the dot-ai CLI for efficient Kubernetes and DevOps operations, helping developers simplify cluster management. It provides a preferred alternative to raw kubectl, helm, and other Kubernetes CLI tools.
CLI tool for tmux-based multi-agent Claude Code teams
Builds Racket command-line applications with proper argument parsing, subcommands, and packaging. Use when creating CLI tools, adding command-line options, or packaging Racket executables.
Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.