clinical-trial-protocol-mcp-server-unavailable

Sub-skill of clinical-trial-protocol: MCP Server Unavailable (+2).

5 stars

Best use case

clinical-trial-protocol-mcp-server-unavailable is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sub-skill of clinical-trial-protocol: MCP Server Unavailable (+2).

Teams using clinical-trial-protocol-mcp-server-unavailable should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/mcp-server-unavailable/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/science/bio-research/clinical-trial-protocol/mcp-server-unavailable/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/mcp-server-unavailable/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How clinical-trial-protocol-mcp-server-unavailable Compares

Feature / Agent	clinical-trial-protocol-mcp-server-unavailable	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Sub-skill of clinical-trial-protocol: MCP Server Unavailable (+2).

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# MCP Server Unavailable (+2)

## MCP Server Unavailable

- Detected in: Step 1
- Action: Display error with installation instructions
- Allow user to retry after installing MCP server
- No fallback available - MCP server is required for protocol research


## Step Fails or Returns Error

- Action: Display error message from subskill
- Ask user: "Retry step? (Yes/No)"
  - Yes: Re-run step
  - No: Save current state, exit orchestrator


## User Interruption

- All progress saved in waypoint files
- User can resume anytime by restarting the skill
- Workflow automatically detects completed steps and resumes from next step
- No data loss

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