- [Quick Start](#quick-start)
/plugin marketplace add athola/claude-night-market/plugin install conserve@claude-night-marketThis skill inherits all available tools. When active, it can use any tool Claude has access to.
modules/mcp-patterns.mdmodules/mcp-subagents.mdmodules/mcp-validation.mdmcp-code-execution:assess-workflow)mcp-code-execution:route-to-modules)mcp-code-execution:coordinate-mecw)mcp-code-execution:synthesize-results)```bash
python -m module_name
python -m module_name --help ```
Verification: Run with --help flag to confirm installation.
code execution, MCP, tool chain, data pipeline, MECWmcp-code-execution:assess-workflowmcp-code-execution:route-to-modulesmcp-code-execution:coordinate-mecwmcp-code-execution:synthesize-resultsmcp-code-execution:assess-workflow)def classify_workflow_for_mecw(workflow):
"""Determine appropriate MCP modules and MECW strategy"""
if has_tool_chains(workflow) and workflow.complexity == 'high':
return {
'modules': ['mcp-subagents', 'mcp-patterns'],
'mecw_strategy': 'aggressive',
'token_budget': 600
}
elif workflow.data_size > '10k_rows':
return {
'modules': ['mcp-patterns', 'mcp-validation'],
'mecw_strategy': 'moderate',
'token_budget': 400
}
else:
return {
'modules': ['mcp-patterns'],
'mecw_strategy': 'conservative',
'token_budget': 200
}
Verification: Run the command with --help flag to verify availability.
Delegate to mcp-validation module for detailed risk analysis:
def delegate_mecw_assessment(workflow):
return mcp_validation_assess_mecw_risk(
workflow,
hub_allocated_tokens=self.token_budget * 0.5
)
Verification: Run the command with --help flag to verify availability.
mcp-code-execution:route-to-modules)class MCPExecutionHub:
def __init__(self):
self.modules = {
'mcp-subagents': MCPSubagentsModule(),
'mcp-patterns': MCPatternsModule(),
'mcp-validation': MCPValidationModule()
}
def execute_workflow(self, workflow, classification):
results = []
# Execute modules in optimal order
for module_name in classification['modules']:
module = self.modules[module_name]
result = module.execute(
workflow,
mecw_budget=classification['token_budget'] //
len(classification['modules'])
)
results.append(result)
return self.synthesize_results(results)
Verification: Run the command with --help flag to verify availability.
mcp-code-execution:coordinate-mecw)mcp-code-execution:synthesize-results)def synthesize_module_results(module_results):
"""Combine results from MCP modules into structured output"""
return {
'status': 'completed',
'token_savings': calculate_savings(module_results),
'mecw_compliance': verify_mecw_rules(module_results),
'hallucination_risk': assess_hallucination_prevention(module_results),
'results': consolidate_results(module_results)
}
Verification: Run the command with --help flag to verify availability.
When MECW limits exceeded:
Command not found Ensure all dependencies are installed and in PATH
Permission errors Check file permissions and run with appropriate privileges
Unexpected behavior
Enable verbose logging with --verbose flag
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.