colang-gen

Generate NeMo Guardrails Colang files and YAML configuration from natural-language descriptions.

13|1|Updated Feb 4, 2026
One-click install
npx skills add https://github.com/0x0pointer/skills --skill colang-gen
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: colang-gen
Source: https://github.com/0x0pointer/skills/tree/main/colang-gen
Command: npx skills add https://github.com/0x0pointer/skills --skill colang-gen

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It transforms a natural‑language description of a chatbot’s purpose, allowed behaviors, and constraints into ready‑to‑use NeMo Guardrails Colang flow files and a corresponding YAML configuration, removing manual authoring effort.

Core Features & Use Cases

  • Automated Colang generation: Produces Colang flow files (e.g., main.co) with intent definitions, example phrases, and strict fallback logic.
  • Secure YAML config: Outputs a config.yaml file with the standard security classifier settings, embedding thresholds, and disabled free‑text.
  • Domain‑agnostic: Suitable for fintech support bots, customer service assistants, or any LLM‑powered chatbot that requires a semantic allow‑list.

Quick Start

Describe your bot’s purpose and constraints to the colang‑gen skill to receive a ready‑to‑paste Colang flow and YAML config.

Frequently Asked Questions about colang-gen

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate NeMo Guardrails Colang files from a chatbot description?

To generate NeMo Guardrails Colang files, provide a natural-language description of your chatbot's purpose and constraints. The tool outputs ready-to-paste main.co flow files with intent definitions, example phrases, and strict fallback logic.

What is a semantic allow-list and how does it control chatbot conversations?

A semantic allow-list defines permitted intents and example phrases within Colang flow files. It restricts chatbot responses to approved topics, creating an AI firewall that enforces strict conversational control across any domain.

What do I need to configure in YAML for NeMo Guardrails security?

YAML configuration for NeMo Guardrails security requires standard security classifier settings, embedding thresholds, and disabled free-text. The generation process outputs a config.yaml file with these security features predefined.

Can I use automated Colang generation for fintech or customer service bots?

Automated Colang generation is domain-agnostic and works for fintech support bots, customer service assistants, or any LLM-powered chatbot. It requires a natural-language description of your bot's allowed behaviors to produce guardrails.

Why does my chatbot need a strict fallback flow in Colang?

A strict fallback flow in Colang ensures the chatbot safely handles unrecognized intents. It prevents off-topic responses by directing the conversation back to permitted topics defined in your semantic allow-list.