Create TypeScript CLIs with strict schemas and structured output envelopes.
npx skills add https://github.com/wevm/incur --skill incur
Please help me install this Agent Skill. Skill: incur Source: https://github.com/wevm/incur/tree/main Command: npx skills add https://github.com/wevm/incur --skill incur
incur provides a TypeScript framework for building CLIs that work for both AI agents and humans, with strong typing, structured envelopes, and built-in discovery.
Define a CLI with Cli.create(), add commands with .command(), and serve it with .serve().
High-intent search queries and answers about installing and using this skill.
You can build TypeScript CLIs for AI agents by defining strictly typed schemas for arguments and options, generating structured output envelopes, and utilizing built-in agent discovery via Skills and MCP.
The best way to generate CLI documentation for LLMs is to auto-generate skill files from strictly typed schemas, enabling seamless agent integration, onboarding, and discovery through formats like TOON, JSON, YAML, and MD.
Prevent runtime errors from inconsistent CLI definitions by applying strict input and output schemas to your TypeScript commands, ensuring arguments and options are validated before execution.
Yes, you can format CLI output for both humans and agents by utilizing structured output envelopes that support multiple formats including TOON, JSON, YAML, and Markdown.
Yes, this TypeScript CLI framework supports MCP and auto-discovery by generating skill files and utilizing the --llms flag to streamline integration and onboarding for AI agents.
outfitter-devApply strict TypeScript patterns with Zod runtime validation and Result types.
yoanbernabeuPerform advanced GrepAI searches with JSON and compact output formats.
Avi977Scaffold MCP servers in Python or TypeScript with type-safe tool definitions.
luyi985Enforce no-any policy in TypeScript with unknown or interface replacements.
