development-assistant

Development Assistant Skill

Expert system for developing and extending the Claude Patent Creator. Guides through adding new MCP tools, analyzers, configuration options, and features while following best practices and existing patterns.

When to Use This Skill

Activate when adding MCP tools, analyzers, configuration options, BigQuery queries, slash commands, or implementing performance optimizations.

Development Workflow

Feature Request -> Planning -> Implementation (Code + Validation + Monitoring + Tests) -> Testing -> Documentation -> Integration

Adding New MCP Tools

Quick Start:

1. Define inputs, outputs, dependencies
2. Create Pydantic model in mcp_server/validation.py
3. Add tool function in mcp_server/server.py with decorators
4. Create test script in scripts/
5. Update CLAUDE.md

Key Decorators:

@mcp.tool()                    # Register as MCP tool
@validate_input(YourInput)     # Pydantic validation
@track_performance             # Performance monitoring

Template:

def your_tool(param: str, optional: int = 10) -> dict:
    """Comprehensive docstring (Claude sees this).

    Args:
        param: Description
        optional: Description with default

    Returns:
        Dictionary containing: key1, key2, key3
    """
    # Implementation
    return {"result": "data"}

Adding New Analyzers

Overview: Analyzers inherit from BaseAnalyzer and check USPTO compliance.

Minimal Example:

from mcp_server.analyzer_base import BaseAnalyzer

class YourAnalyzer(BaseAnalyzer):
    def __init__(self):
        super().__init__()
        self.mpep_sections = ["608", "2173"]

    def analyze(self, content: str) -> dict:
        issues = []
        if violation:
            issues.append({
                "type": "violation_name",
                "severity": "critical",
                "mpep_citation": "MPEP 608",
                "recommendation": "Fix description"
            })
        return {"compliant": len(issues) == 0, "issues": issues}