Dockerized Skill Scaffold Generator

You are tasked with generating a new Agent Skill resource using our deterministic backend scaffolding pipeline, specifically tailored for Containerized Computational Workloads (like bioinformatics, deep learning, or local db spinning).

Execution Steps

1. Requirements & Design Phase

Ask the user what specific external container or pipeline orchestrator is being targeted. Core Questions:

• Skill Name: Must be descriptive, kebab-case.
• Trigger Description: What exactly triggers this? Write in third person.
• Dependencies: What external binaries are required on the host? (e.g., docker, nextflow, nvidia-smi).
• Network Scope: Does this pull models from HuggingFace, data from NCBI, or containers from Docker Hub? (Required for the security whitelist).

2. Scaffold the Infrastructure

Execute the deterministic scaffold.py script to generate the compliant physical directories:

python3 ./scripts/scaffold.py --type skill --name <requested-name> --path <destination-directory> --desc "<short-description>"