Add test skill

skills/mcp-server-setup/SKILL.md

@@ -1,98 +0,0 @@
----
-name: mcp-server-setup
-version: 1.0.0
-description: Set up an MCP server to integrate PipesHub with any MCP-compatible client.
-inputs:
-- MCP server configuration details
-- PipesHub credentials
-steps:
-- 'Step 1: Clone the `pipeshub-ai/mcp-server` repository using `git clone https://github.com/pipeshub-ai/mcp-server.git`'
-- 'Step 2: Navigate to the cloned directory with `cd mcp-server`'
-- 'Step 3: Run the interactive installer by executing `./install.sh`'
-- 'Step 4: Follow the prompts in the installer to configure the server, including
-  setting up graph DB, message broker, and KV store'
-- 'Step 5: The installer will generate a `.env` file with necessary environment variables.
-  Ensure these are correctly set'
-- 'Step 6: Start the MCP server by running `docker-compose up -d`'
-outputs:
-- Running MCP server
-- .env file generated
-tags: []
-metadata:
-  source_repo: https://github.com/pipeshub-ai/pipeshub-ai.git
-  extracted_at: ''
-  confidence: 0.95
----
-
-# mcp-server-setup
-
-Set up an MCP server to integrate PipesHub with any MCP-compatible client.
-
-## Setup
-
-**Dependencies:**
-
-```text
-pip install docker docker-compose
-```
-
-**Setup steps:**
-
-1. Ensure Docker and Docker Compose are installed on your system.
-1. Clone the `pipeshub-ai/mcp-server` repository using `git clone https://github.com/pipeshub-ai/mcp-server.git`
-
-## Key Files
-
-- `path/to/install.sh - Script to run the interactive installer`
-- `path/to/docker-compose.yml - Configuration for Docker services`
-
-## Steps
-
-1. Step 1: Clone the `pipeshub-ai/mcp-server` repository using `git clone https://github.com/pipeshub-ai/mcp-server.git`
-2. Step 2: Navigate to the cloned directory with `cd mcp-server`
-3. Step 3: Run the interactive installer by executing `./install.sh`
-4. Step 4: Follow the prompts in the installer to configure the server, including setting up graph DB, message broker, and KV store
-5. Step 5: The installer will generate a `.env` file with necessary environment variables. Ensure these are correctly set
-6. Step 6: Start the MCP server by running `docker-compose up -d`
-
-## Implementation Details
-
-```python
-```bash
-./install.sh
-```
-Run this script to start the installation process.
-```
-
-```python
-```yaml
-docker-compose:
-  version: '3.9'
-services:
-  mcp-server:
-    image: pipeshubai/mcp-server:latest
-    environment:
-      - PIPESHUB_API_KEY=your_api_key_here
-```
-This snippet shows how to configure the Docker Compose file.
-```
-
-## Inputs
-
-- MCP server configuration details
-- PipesHub credentials
-
-## Outputs
-
-- Running MCP server
-- .env file generated
-
-## Failure Modes
-
-- Installer fails to run due to missing dependencies or incorrect configuration
-- Docker Compose setup issues preventing server from starting
-
-## Source
-
-Extracted from: [https://github.com/pipeshub-ai/pipeshub-ai.git](https://github.com/pipeshub-ai/pipeshub-ai.git)
-Confidence: 0.95

skills/mcp-server-setup/commands.md

@@ -1,6 +0,0 @@
-# Commands: mcp-server-setup
-
-## Available Commands
-
-- `/skill mcp-server-setup` — Load this skill
-- `/run mcp-server-setup` — Execute workflow

skills/mcp-server-setup/examples.md

@@ -1,10 +0,0 @@
-# Examples: mcp-server-setup
-
-## Usage Example
-
-```python
-# How to use this skill
-# Inputs: MCP server configuration details, PipesHub credentials
-# Process: Step 1: Clone the `pipeshub-ai/mcp-server` repository using `git clone https://github.com/pipeshub-ai/mcp-server.git` → Step 2: Navigate to the cloned directory with `cd mcp-server` → Step 3: Run the interactive installer by executing `./install.sh`
-# Outputs: Running MCP server, .env file generated
-```

skills/mcp-server-setup/metadata.json

@@ -1,29 +0,0 @@
-{
-  "name": "mcp-server-setup",
-  "version": "1.0.0",
-  "goal": "Set up an MCP server to integrate PipesHub with any MCP-compatible client.",
-  "inputs": [
-    "MCP server configuration details",
-    "PipesHub credentials"
-  ],
-  "steps": [
-    "Step 1: Clone the `pipeshub-ai/mcp-server` repository using `git clone https://github.com/pipeshub-ai/mcp-server.git`",
-    "Step 2: Navigate to the cloned directory with `cd mcp-server`",
-    "Step 3: Run the interactive installer by executing `./install.sh`",
-    "Step 4: Follow the prompts in the installer to configure the server, including setting up graph DB, message broker, and KV store",
-    "Step 5: The installer will generate a `.env` file with necessary environment variables. Ensure these are correctly set",
-    "Step 6: Start the MCP server by running `docker-compose up -d`"
-  ],
-  "outputs": [
-    "Running MCP server",
-    ".env file generated"
-  ],
-  "failure_modes": [
-    "Installer fails to run due to missing dependencies or incorrect configuration",
-    "Docker Compose setup issues preventing server from starting"
-  ],
-  "confidence": 0.95,
-  "explanation": "This workflow is specific but can be adapted for different deployment environments and configurations.",
-  "source_repo": "https://github.com/pipeshub-ai/pipeshub-ai.git",
-  "score": 1.0
-}

skills/mcp-server-setup/tests.md

@@ -1,9 +0,0 @@
-# Tests: mcp-server-setup
-
-## Test Checklist
-
-- [ ] Workflow has at least 3 steps
-- [ ] All inputs are defined
-- [ ] All outputs are defined
-- [ ] Failure modes are documented
-- [ ] Skill can be loaded without errors

skills/test-skill/SKILL.md

@@ -0,0 +1 @@
+---

skills/test-skill/examples.md

@@ -0,0 +1 @@
+test