vx

Project management guide for vx. Use when setting up a new project, configuring vx.toml, or managing project-level tool versions and scripts.

Teaches AI agents how to use vx, the universal dev tool manager. Use when the project has vx.toml or .vx/, or when the user mentions vx, tool version management, Git/GitHub operations, or cross-platform setup. vx auto-manages Node.js, Python, Go, Rust, and 142 providers via Starlark DSL provider.star files. Also covers MCP integration patterns and GitHub Actions.

Token-efficient command execution patterns for AI agents using vx. Use when running builds, tests, linting, GitHub operations, or any command that produces verbose output. Teaches agents to filter output cross-platform using vx-managed tools (vx rg, vx jq) instead of platform-specific syntax (Select-String, grep, findstr). Includes token measurement, savings tracking, and deep recipes for cargo, gh, pytest, and more.

Best practices for using vx effectively. Use when following recommended patterns for tool management, project setup, and team workflows with vx.

Complete vx CLI command reference. Use when looking up specific vx command syntax, flags, output formats, or token-efficient forwarding. vx-native commands support --json, --toon, --compact, and --output-format; forwarded tools keep native output unless compact mode is explicitly requested.

Troubleshooting guide for vx issues. Use when encountering installation failures, version conflicts, PATH issues, or other vx problems.

Teaches AI agents how to use vx, the universal dev tool manager. Use when the project has vx.toml or .vx/, or when the user mentions vx, tool version management, Git/GitHub operations, or cross-platform setup. vx auto-manages Node.js, Python, Go, Rust, and 138 tools via Starlark DSL providers. Also covers MCP integration patterns and GitHub Actions.

Best practices for using vx effectively. Use when following recommended patterns for tool management, project setup, and team workflows with vx.

Complete vx CLI command reference. Use when looking up specific vx command syntax, flags, or output formats. All commands support --json for structured output and --output-format toon for token-optimized output.

Teaches AI agents how to use vx, the universal dev tool manager. Use when the project has vx.toml or .vx/, or when the user mentions vx, tool version management, Git/GitHub operations, or cross-platform setup. vx auto-manages Node.js, Python, Go, Rust, and 137 tools via Starlark DSL providers. Also covers MCP integration patterns and GitHub Actions.

Git worktree manager for parallel AI agent workflows. Use when the user needs to manage multiple working directories for parallel development, create feature branches with isolated environments, or run multiple AI agents concurrently. Covers `vx worktrunk` and `vx wt` commands.

Project management guide for vx. Use when setting up a new project, configuring vx.toml, or managing project-level tool versions and scripts.

Troubleshooting guide for vx issues. Use when encountering installation failures, version conflicts, PATH issues, or other vx problems.

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

This skill should be used when creating a new runtime provider for the vx tool manager. It provides complete templates, code generation, and step-by-step guidance for implementing Provider and Runtime traits, including URL builders, platform configuration, test files, provider.star manifest, system package manager fallback, ecosystem-managed tools via package_alias (RFC 0033: vx meson = vx uvx:meson, vx vite = vx npx:vite), and optionally project analyzer integration for language-specific tools. Use this skill when the user asks to add support for a new tool/runtime in vx.

Update existing VX providers to the latest standards: provider.star as single source of truth, top-level variables for metadata (name = "..."), object-style ctx access (ctx.platform.os), stdlib helpers (make_fetch_versions, github_asset_url, env_prepend), and required path query functions (store_root, get_execute_path, post_install). Add package_alias for PyPI/npm tools (RFC 0033: vx meson = vx uvx:meson, vx vite = vx npx:vite). All providers must follow the current provider.star format with proper system_install {"strategies": [...]} structure.

Generate llms.txt and llms-full.txt files following the llmstxt.org protocol specification. This skill should be used when users want to create, update, or generate llms.txt files for their projects to make them more accessible to Large Language Models (LLMs). Triggers include: "create llms.txt", "generate llms-full.txt", "update llms.txt", "add llmstxt.org support", "make project LLM-friendly", "llms.txt protocol".

This skill analyzes real-world open source projects to test and validate the vx-project-analyzer crate. It should be used when testing the project analyzer against external projects, discovering issues, and iterating on fixes. The skill handles the full workflow: searching for projects, cloning them to a temporary location, running analysis, fixing any issues found, and cleaning up afterward.

Create videos programmatically using React. This skill helps with Remotion setup, composition creation, rendering, and best practices for building video applications.

This skill helps create RFC (Request for Comments) documents for proposing new features, architectural changes, or significant enhancements to the project. It provides templates, structure guidelines, and best practices for writing effective technical proposals. Use this skill when planning major changes that need team review and discussion. IMPORTANT: Before writing any RFC, you MUST conduct online research to survey current industry best practices, mainstream implementations, and latest trends.