flow-making

Name: flow-making
Availability: InStock
Author: XAIHT

Convert natural-language objectives into canvas-loadable .flw workflows with FlowCreator.

14|1|Updated Mar 6, 2026

Search Tags:#automation #workflow #ai #flow #canvas #templating

Ready to run

npx skills add https://github.com/XAIHT/Tlamatini --skill flow-making

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: flow-making
Source: https://github.com/XAIHT/Tlamatini/tree/main/Tlamatini/agent/skills_pkg/flow_making
Command: npx skills add https://github.com/XAIHT/Tlamatini --skill flow-making

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

FlowMaker converts natural-language objectives into canvas-loadable .flw workflows by leveraging the FlowCreator engine, removing manual steps and enabling rapid deployment.

Core Features & Use Cases

End-to-end FlowCreator integration: generate a .flw from a user objective.
Isolated runtime executions: avoid mutating templates and ensure safe, repeatable runs.
Export-ready output: provide a loadable .flw for ACP canvas with proper node wiring.

Quick Start

Provide a natural-language objective and let FlowMaker produce a downloadable .flw file ready to load in the ACP canvas.

Frequently Asked Questions about flow-making

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

FAQPage Schema

How do I convert natural-language objectives into canvas-loadable workflows?▼

To convert natural-language objectives into canvas-loadable workflows, provide your objective to let the engine generate a downloadable .flw file. This removes manual steps and enables rapid deployment directly onto the canvas.

What is the best way to generate a .flw file for ACP canvas?▼

The best way to generate a .flw file for ACP canvas is using the FlowCreator engine to process your text objective. It provides an export-ready output with proper node wiring for immediate loading.

Do I need Ollama and Python to generate .flw workflows?▼

Yes, you need both Ollama and Python to generate .flw workflows. The workflow generation requires a FlowCreator template, an Ollama model, and a Python runtime to execute the end-to-end process.

Can I run isolated workflow generation without mutating the FlowCreator template?▼

Yes, you can run isolated workflow generation without mutating the FlowCreator template. The engine performs isolated runtime executions to avoid mutating templates and ensure safe, repeatable runs.

Why does my generated workflow have node wiring errors on the canvas?▼

Node wiring errors on the canvas occur when the workflow generation lacks proper export-ready output. The engine provides a loadable .flw with proper node wiring and robust error handling to prevent this.

Can I use configurable models for .flw workflow generation?▼

Yes, you can use configurable models for .flw workflow generation. The engine operates end-to-end with configurable models to process your natural-language objectives into loadable workflows.