Hugin Agent Scaffold Generator

Generate starter files for a new Hugin agent by reading templates from this plugin and customizing them.

Arguments

Parse the user's arguments to extract:

1. •agent_name: Name for the agent (required, snake_case)
2. •type: One of minimal, tool, or pipeline (default: minimal)

Example invocations:

• •/hugin-agent-creator:hugin-scaffold my_agent - Creates minimal agent
• •/hugin-agent-creator:hugin-scaffold data_processor tool - Creates agent with custom tool
• •/hugin-agent-creator:hugin-scaffold report_generator pipeline - Creates multi-stage pipeline

Implementation Steps

Step 1: Parse Arguments

Extract agent_name and type from user input. Validate agent_name is snake_case.

Step 2: Create Directory Structure

Use Bash to create the directories:

mkdir -p [agent_name]/configs [agent_name]/tasks [agent_name]/templates
# For 'tool' type also:
mkdir -p [agent_name]/tools

Step 3: Read and Customize Templates

IMPORTANT: Read the actual template files from this plugin, then customize them.

For ALL types, read these templates:

1. •

   Read templates/minimal-config.yaml from this plugin

   • •Replace my_agent with [agent_name]
   • •Replace my_system with [agent_name]_system
   • •For 'tool' type: add the custom tool to the tools list
   • •Write to [agent_name]/configs/[agent_name].yaml
2. •

   Read templates/minimal-task.yaml from this plugin

   • •Replace my_task with [agent_name]_task
   • •Write to [agent_name]/tasks/[agent_name]_task.yaml
3. •

   Read templates/minimal-template.yaml from this plugin

   • •Replace my_system with [agent_name]_system
   • •Write to [agent_name]/templates/[agent_name]_system.yaml

For 'tool' type, also read:

1. •

   Read templates/tool-definition.yaml from this plugin

   • •Replace my_tool with [agent_name]_tool
   • •Write to [agent_name]/tools/[agent_name]_tool.yaml
2. •

   Read templates/tool-implementation.py from this plugin

   • •Replace my_tool with [agent_name]_tool
   • •Write to [agent_name]/tools/[agent_name]_tool.py

For 'pipeline' type:

Instead of the single task, create 3 stage tasks:

1. •

   Read templates/minimal-task.yaml as base, then create:

   tasks/stage_1_extract.yaml:

   yaml

   name: stage_1_extract
   description: Extract data from input (Stage 1)
   parameters:
     raw_input:
       type: string
       description: Raw input data
       required: false
       default: "Sample input data"
   task_sequence:
     - stage_2_transform
     - stage_3_output
   pass_result_as: extracted_data
   prompt: |
     STAGE 1: EXTRACT
   
     Raw Input: {{ raw_input.value }}
   
     Your task:
     1. Parse the raw input
     2. Extract key information
     3. Use finish with your structured extraction as the result
   
     The result will be passed to Stage 2.
   

   tasks/stage_2_transform.yaml:

   yaml

   name: stage_2_transform
   description: Transform extracted data (Stage 2)
   parameters:
     extracted_data:
       type: string
       description: Data from Stage 1
       required: false
       default: ""
   pass_result_as: transformed_data
   prompt: |
     STAGE 2: TRANSFORM
   
     Extracted Data: {{ extracted_data.value }}
   
     Your task:
     1. Transform the extracted data
     2. Apply any necessary processing
     3. Use finish with your transformed result
   
     The result will be passed to Stage 3.
   

   tasks/stage_3_output.yaml:

   yaml

   name: stage_3_output
   description: Generate final output (Stage 3)
   parameters:
     transformed_data:
       type: string
       description: Data from Stage 2
       required: false
       default: ""
   prompt: |
     STAGE 3: OUTPUT
   
     Transformed Data: {{ transformed_data.value }}
   
     Your task:
     1. Generate the final output
     2. Format it appropriately
     3. Use finish with your final result
   

2. •

   Update the system template for pipeline context:

   yaml

   name: [agent_name]_system
   template: |
     You are a data processing assistant working in a multi-stage pipeline.
   
     Follow your stage instructions carefully. Your output will be passed to the next stage.
   
     Always use the finish tool when your stage is complete, including your result.
   

Step 4: Print Success Message

After creating all files, print:

Created [agent_name] agent ([type] type)

Directory: ./[agent_name]/

Files created:
  - configs/[agent_name].yaml
  - tasks/[task_name].yaml
  - templates/[agent_name]_system.yaml
  [If tool type:]
  - tools/[agent_name]_tool.yaml
  - tools/[agent_name]_tool.py

Run your agent:
  uv run hugin run --task [task_name] --task-path ./[agent_name]

Next steps:
  1. Edit configs/[agent_name].yaml to customize the agent
  2. Edit tasks/[task_name].yaml to define your task logic
  3. Edit templates/[agent_name]_system.yaml for the system prompt
  [If tool type:]
  4. Implement your tool in tools/[agent_name]_tool.py
  [If pipeline type:]
  4. Customize each stage task in tasks/

For more guidance: /hugin-agent-creator:hugin-guide

Template File Locations

All templates are in this plugin's templates/ directory:

• •templates/minimal-config.yaml
• •templates/minimal-task.yaml
• •templates/minimal-template.yaml
• •templates/tool-definition.yaml
• •templates/tool-implementation.py

Always read these files rather than hardcoding their content. This ensures scaffolded agents use the latest template versions.