Full Protein Characterization

What it does

Provides a workflow for full protein characterization: sequence validation, feature analysis, computation of physicochemical parameters, 3D structure prediction (ESMFold), and binding pocket prediction (fpocket). The skill orchestrates calls to multiple SCP servers and tools to produce a comprehensive protein analysis pipeline.

When to use it

Use this skill when you need a reproducible pipeline for analyzing an amino-acid sequence — from basic validation to structure prediction and pocket detection. Suitable for computational biologists, drug-discovery researchers, and bioinformatics practitioners who want an automated end-to-end analysis.

What's included

• Scripts: none included in the fetched snapshot (has_scripts=false)
• References: none listed (has_references=false)
• Instructions: The SKILL.md documents the workflow steps, required MCP server endpoints, an example input sequence, and a Python usage example showing how to connect to SCP servers, call the listed tools, and parse results. It notes API key placement and error handling considerations.

Compatible agents

Inferred compatibility: agents capable of calling external MCP servers and making authenticated HTTP/SSE/streamable HTTP connections. Best used by agents or runners with network access and ability to manage API keys for SCP Hub.