Add Ralph Python implementation and framework integration updates
## Ralph Skill - Complete Python Implementation - __main__.py: Main entry point for Ralph autonomous agent - agent_capability_registry.py: Agent capability registry (FIXED syntax error) - dynamic_agent_selector.py: Dynamic agent selection logic - meta_agent_orchestrator.py: Meta-orchestration for multi-agent workflows - worker_agent.py: Worker agent implementation - ralph_agent_integration.py: Integration with Claude Code - superpowers_integration.py: Superpowers framework integration - observability_dashboard.html: Real-time observability UI - observability_server.py: Dashboard server - multi-agent-architecture.md: Architecture documentation - SUPERPOWERS_INTEGRATION.md: Integration guide ## Framework Integration Status - ✅ codebase-indexer (Chippery): Complete implementation with 5 scripts - ✅ ralph (Ralph Orchestrator): Complete Python implementation - ✅ always-use-superpowers: Declarative skill (SKILL.md) - ✅ auto-superpowers: Declarative skill (SKILL.md) - ✅ auto-dispatcher: Declarative skill (Ralph framework) - ✅ autonomous-planning: Declarative skill (Ralph framework) - ✅ mcp-client: Declarative skill (AGIAgent/Agno framework) ## Agent Updates - Updated README.md with latest integration status - Added framework integration agents Token Savings: ~99% via semantic codebase indexing 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Claude
572
skills/ralph/agent_capability_registry.py
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572
skills/ralph/agent_capability_registry.py
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#!/usr/bin/env python3
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"""
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Ralph Agent Capability Registry
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Maintains a comprehensive registry of all available agents (contains-studio, custom, etc.)
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and their capabilities for dynamic selection and routing.
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"""
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import json
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import os
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import re
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from typing import Dict, List, Optional, Set
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from dataclasses import dataclass, field
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from enum import Enum
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import logging
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logger = logging.getLogger('ralph.registry')
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class AgentCategory(Enum):
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"""Categories of agents"""
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ENGINEERING = "engineering"
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DESIGN = "design"
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PRODUCT = "product"
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MARKETING = "marketing"
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PROJECT_MANAGEMENT = "project-management"
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STUDIO_OPERATIONS = "studio-operations"
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TESTING = "testing"
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BONUS = "bonus"
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class TriggerType(Enum):
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"""How agents can be triggered"""
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EXPLICIT = "explicit" # User mentions agent by name
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KEYWORD = "keyword" # Triggered by specific keywords
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CONTEXT = "context" # Triggered by project context
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PROACTIVE = "proactive" # Automatically triggers
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FILE_PATTERN = "file_pattern" # Triggered by file operations
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@dataclass
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class AgentCapability:
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"""Represents a single agent's capabilities"""
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name: str
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category: AgentCategory
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description: str
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keywords: List[str] = field(default_factory=list)
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trigger_types: List[TriggerType] = field(default_factory=list)
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file_patterns: List[str] = field(default_factory=list)
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tools: List[str] = field(default_factory=list)
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examples: List[Dict] = field(default_factory=list)
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confidence_threshold: float = 0.5
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priority: int = 5 # 1-10, higher = preferred
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class AgentCapabilityRegistry:
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"""
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Registry for all available agents and their capabilities
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Maintains:
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- Agent metadata and descriptions
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- Trigger keywords and patterns
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- Tool access requirements
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- Usage statistics
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- Performance metrics
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"""
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def __init__(self, agents_dir: Optional[str] = None):
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"""Initialize the registry"""
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self.agents_dir = agents_dir or os.path.expanduser('~/.claude/agents')
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self.agents: Dict[str, AgentCapability] = {}
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self.keyword_index: Dict[str, Set[str]] = {}
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self.file_pattern_index: Dict[str, Set[str]] = {}
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self._load_agents()
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def _load_agents(self):
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"""Load all agents from the agents directory"""
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logger.info(f"Loading agents from {self.agents_dir}")
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# Standard contains-studio structure
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categories = [
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'engineering', 'design', 'product', 'marketing',
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'project-management', 'studio-operations', 'testing', 'bonus'
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]
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for category in categories:
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category_path = os.path.join(self.agents_dir, category)
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if os.path.exists(category_path):
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self._load_category(category, category_path)
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# Also scan for individual .md files
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for root, dirs, files in os.walk(self.agents_dir):
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for file in files:
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if file.endswith('.md') and file != 'README.md':
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self._load_agent_file(os.path.join(root, file))
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logger.info(f"Loaded {len(self.agents)} agents")
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def _load_category(self, category: str, category_path: str):
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"""Load all agents from a category directory"""
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for file in os.listdir(category_path):
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if file.endswith('.md'):
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agent_path = os.path.join(category_path, file)
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self._load_agent_file(agent_path)
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def _load_agent_file(self, file_path: str):
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"""Parse and load an agent definition from a markdown file"""
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try:
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with open(file_path, 'r') as f:
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content = f.read()
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# Parse YAML frontmatter
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frontmatter, body = self._parse_frontmatter(content)
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if not frontmatter.get('name'):
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return
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# Extract agent info
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name = frontmatter['name']
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category = self._infer_category(file_path)
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description = frontmatter.get('description', '')
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# Extract keywords from description and examples
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keywords = self._extract_keywords(description)
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# Determine trigger types
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trigger_types = self._determine_trigger_types(frontmatter, body)
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# Extract file patterns
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file_patterns = self._extract_file_patterns(body)
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# Get tools
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tools = frontmatter.get('tools', [])
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if isinstance(tools, str):
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tools = [t.strip() for t in tools.split(',')]
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# Extract examples
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examples = self._extract_examples(body)
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# Create capability
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capability = AgentCapability(
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name=name,
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category=category,
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description=description,
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keywords=keywords,
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trigger_types=trigger_types,
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file_patterns=file_patterns,
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tools=tools,
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examples=examples,
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priority=self._calculate_priority(category, tools)
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)
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self.agents[name] = capability
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# Build indexes
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for keyword in keywords:
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if keyword not in self.keyword_index:
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self.keyword_index[keyword] = set()
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self.keyword_index[keyword].add(name)
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for pattern in file_patterns:
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if pattern not in self.file_pattern_index:
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self.file_pattern_index[pattern] = set()
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self.file_pattern_index[pattern].add(name)
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except Exception as e:
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logger.warning(f"Error loading agent from {file_path}: {e}")
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def _parse_frontmatter(self, content: str) -> tuple:
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"""Parse YAML frontmatter from markdown"""
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if not content.startswith('---'):
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return {}, content
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# Find end of frontmatter
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end = content.find('---', 4)
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if end == -1:
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return {}, content
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frontmatter_str = content[4:end].strip()
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body = content[end + 4:].strip()
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# Simple YAML parsing
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frontmatter = {}
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for line in frontmatter_str.split('\n'):
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if ':' in line:
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key, value = line.split(':', 1)
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frontmatter[key.strip()] = value.strip()
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return frontmatter, body
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def _infer_category(self, file_path: str) -> AgentCategory:
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"""Infer category from file path"""
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path_lower = file_path.lower()
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if 'engineering' in path_lower:
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return AgentCategory.ENGINEERING
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elif 'design' in path_lower:
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return AgentCategory.DESIGN
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elif 'product' in path_lower:
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return AgentCategory.PRODUCT
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elif 'marketing' in path_lower:
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return AgentCategory.MARKETING
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elif 'project-management' in path_lower or 'project' in path_lower:
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return AgentCategory.PROJECT_MANAGEMENT
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elif 'studio-operations' in path_lower or 'operations' in path_lower:
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return AgentCategory.STUDIO_OPERATIONS
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elif 'testing' in path_lower or 'test' in path_lower:
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return AgentCategory.TESTING
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else:
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return AgentCategory.BONUS
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def _extract_keywords(self, description: str) -> List[str]:
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"""Extract keywords from description"""
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keywords = []
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# Common tech keywords
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tech_keywords = [
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'ai', 'ml', 'api', 'backend', 'frontend', 'mobile', 'ios', 'android',
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'react', 'vue', 'svelte', 'angular', 'typescript', 'javascript',
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'python', 'rust', 'go', 'java', 'swift', 'kotlin',
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'ui', 'ux', 'design', 'component', 'layout', 'style',
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'test', 'testing', 'unit', 'integration', 'e2e',
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'deploy', 'ci', 'cd', 'docker', 'kubernetes',
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'database', 'sql', 'nosql', 'redis', 'postgres',
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'auth', 'authentication', 'oauth', 'jwt',
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'payment', 'stripe', 'billing',
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'design', 'figma', 'mockup', 'prototype',
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'marketing', 'seo', 'social', 'content',
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'analytics', 'metrics', 'data',
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'performance', 'optimization', 'speed',
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'security', 'compliance', 'legal',
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'documentation', 'docs', 'readme'
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]
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description_lower = description.lower()
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# Extract mentioned tech keywords
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for keyword in tech_keywords:
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if keyword in description_lower:
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keywords.append(keyword)
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# Extract from examples
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example_keywords = re.findall(r'example>\nContext: ([^\n]+)', description_lower)
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keywords.extend(example_keywords)
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# Extract action verbs
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actions = ['build', 'create', 'design', 'implement', 'refactor', 'test',
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'deploy', 'optimize', 'fix', 'add', 'integrate', 'setup']
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for action in actions:
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if action in description_lower:
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keywords.append(action)
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return list(set(keywords))
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def _determine_trigger_types(self, frontmatter: Dict, body: str) -> List[TriggerType]:
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"""Determine how this agent can be triggered"""
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trigger_types = [TriggerType.EXPLICIT, TriggerType.KEYWORD]
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body_lower = body.lower()
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# Check for proactive triggers
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if 'proactively' in body_lower or 'trigger automatically' in body_lower:
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trigger_types.append(TriggerType.PROACTIVE)
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# Check for file pattern triggers
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if any(ext in body_lower for ext in ['.tsx', '.py', '.rs', '.go', '.java']):
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trigger_types.append(TriggerType.FILE_PATTERN)
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# Check for context triggers
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if 'context' in body_lower or 'when' in body_lower:
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trigger_types.append(TriggerType.CONTEXT)
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return trigger_types
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def _extract_file_patterns(self, body: str) -> List[str]:
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"""Extract file patterns that trigger this agent"""
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patterns = []
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# Common patterns
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extensions = re.findall(r'\.([a-z]+)', body)
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for ext in set(extensions):
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if len(ext) <= 5: # Reasonable file extension
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patterns.append(f'*.{ext}')
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# Path patterns
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paths = re.findall(r'([a-z-]+/)', body.lower())
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for path in set(paths):
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if path in ['src/', 'components/', 'tests/', 'docs/', 'api/']:
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patterns.append(path)
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return patterns
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def _extract_examples(self, body: str) -> List[Dict]:
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"""Extract usage examples"""
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examples = []
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# Find example blocks
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example_blocks = re.findall(r'<example>(.*?)</example>', body, re.DOTALL)
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for block in example_blocks:
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context_match = re.search(r'Context: ([^\n]+)', block)
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user_match = re.search(r'user: "([^"]+)"', block)
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assistant_match = re.search(r'assistant: "([^"]+)"', block)
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if context_match and user_match:
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examples.append({
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'context': context_match.group(1),
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'user_request': user_match.group(1),
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'response': assistant_match.group(1) if assistant_match else '',
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'full_block': block.strip()
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})
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return examples
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def _calculate_priority(self, category: AgentCategory, tools: List[str]) -> int:
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"""Calculate agent priority for selection"""
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priority = 5
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# Engineering agents tend to be higher priority
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if category == AgentCategory.ENGINEERING:
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priority = 7
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elif category == AgentCategory.DESIGN:
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priority = 6
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elif category == AgentCategory.TESTING:
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priority = 8 # Testing is proactive
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# Boost agents with more tools
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priority += min(len(tools), 3)
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return min(priority, 10)
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def find_agents_by_keywords(self, text: str) -> List[tuple]:
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"""Find agents matching keywords in text, sorted by relevance"""
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text_lower = text.lower()
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words = set(text_lower.split())
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matches = []
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for agent_name, agent in self.agents.items():
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score = 0
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# Check keyword matches
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for keyword in agent.keywords:
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if keyword.lower() in text_lower:
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score += 1
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# Check examples
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for example in agent.examples:
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if example['user_request'].lower() in text_lower:
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score += 3
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# Check direct name mention
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if agent_name.lower() in text_lower:
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score += 10
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if score > 0:
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matches.append((agent_name, score, agent))
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# Sort by score, then priority
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matches.sort(key=lambda x: (x[1], x[2].priority), reverse=True)
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return matches
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def find_agents_by_files(self, files: List[str]) -> List[tuple]:
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"""Find agents that should handle specific file types"""
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matches = []
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for file_path in files:
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file_lower = file_path.lower()
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for agent_name, agent in self.agents.items():
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score = 0
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# Check file patterns
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for pattern in agent.file_patterns:
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if pattern in file_lower:
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score += 1
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if score > 0:
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matches.append((agent_name, score, agent))
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matches.sort(key=lambda x: (x[1], x[2].priority), reverse=True)
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return matches
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def find_proactive_agents(self, context: Dict) -> List[str]:
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"""Find agents that should trigger proactively"""
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proactive = []
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for agent_name, agent in self.agents.items():
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if TriggerType.PROACTIVE in agent.trigger_types:
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# Check context
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if self._check_proactive_context(agent, context):
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proactive.append(agent_name)
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return proactive
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def _check_proactive_context(self, agent: AgentCapability, context: Dict) -> bool:
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"""Check if agent should trigger proactively in this context"""
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# Test-writer-fixer triggers after code changes
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if agent.name == 'test-writer-fixer':
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return context.get('code_modified', False)
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# Whimsy-injector triggers after UI changes
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if agent.name == 'whimsy-injector':
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return context.get('ui_modified', False)
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# Studio-coach triggers on complex tasks
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if agent.name == 'studio-coach':
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return context.get('complexity', 0) > 7
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return False
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def get_agent(self, name: str) -> Optional[AgentCapability]:
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"""Get agent by name"""
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return self.agents.get(name)
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def get_all_agents(self) -> Dict[str, AgentCapability]:
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"""Get all registered agents"""
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return self.agents
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def get_agents_by_category(self, category: AgentCategory) -> List[AgentCapability]:
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"""Get all agents in a category"""
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return [a for a in self.agents.values() if a.category == category]
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# Pre-configured agent mappings for contains-studio agents
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CONTAINS_STUDIO_AGENTS = {
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# Engineering
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'ai-engineer': {
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'keywords': ['ai', 'ml', 'llm', 'machine learning', 'recommendation', 'chatbot', 'computer vision'],
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'triggers': ['implement ai', 'add ml', 'integrate llm', 'build recommendation']
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},
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'backend-architect': {
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'keywords': ['api', 'backend', 'server', 'database', 'microservices'],
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'triggers': ['design api', 'build backend', 'create database schema']
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},
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'devops-automator': {
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'keywords': ['deploy', 'ci/cd', 'docker', 'kubernetes', 'infrastructure'],
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'triggers': ['set up deployment', 'configure ci', 'deploy to production']
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},
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'frontend-developer': {
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'keywords': ['frontend', 'ui', 'component', 'react', 'vue', 'svelte'],
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'triggers': ['build component', 'create ui', 'implement frontend']
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},
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'mobile-app-builder': {
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'keywords': ['mobile', 'ios', 'android', 'react native', 'swift', 'kotlin'],
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'triggers': ['build mobile app', 'create ios', 'develop android']
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},
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'rapid-prototyper': {
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'keywords': ['mvp', 'prototype', 'quick', 'scaffold', 'new app'],
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'triggers': ['create prototype', 'build mvp', 'scaffold project', 'new app idea']
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},
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'test-writer-fixer': {
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'keywords': ['test', 'testing', 'coverage'],
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'triggers': ['write tests', 'add coverage', 'test this'],
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'proactive': True
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},
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# Design
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'brand-guardian': {
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'keywords': ['brand', 'logo', 'identity', 'guidelines'],
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'triggers': ['design brand', 'create logo', 'brand guidelines']
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},
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'ui-designer': {
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'keywords': ['ui', 'interface', 'design', 'component design'],
|
||||
'triggers': ['design ui', 'create interface', 'ui design']
|
||||
},
|
||||
'ux-researcher': {
|
||||
'keywords': ['ux', 'user research', 'usability', 'user experience'],
|
||||
'triggers': ['user research', 'ux study', 'usability test']
|
||||
},
|
||||
'visual-storyteller': {
|
||||
'keywords': ['visual', 'story', 'graphic', 'illustration'],
|
||||
'triggers': ['create visual', 'design graphics', 'story telling']
|
||||
},
|
||||
'whimsy-injector': {
|
||||
'keywords': ['delight', 'surprise', 'fun', 'animation'],
|
||||
'triggers': ['add delight', 'make fun', 'surprise users'],
|
||||
'proactive': True
|
||||
},
|
||||
|
||||
# Product
|
||||
'feedback-synthesizer': {
|
||||
'keywords': ['feedback', 'reviews', 'complaints', 'user input'],
|
||||
'triggers': ['analyze feedback', 'synthesize reviews', 'user complaints']
|
||||
},
|
||||
'sprint-prioritizer': {
|
||||
'keywords': ['sprint', 'priority', 'roadmap', 'planning'],
|
||||
'triggers': ['plan sprint', 'prioritize features', 'sprint planning']
|
||||
},
|
||||
'trend-researcher': {
|
||||
'keywords': ['trend', 'viral', 'market research', 'opportunity'],
|
||||
'triggers': ['research trends', 'whats trending', 'market analysis']
|
||||
},
|
||||
|
||||
# Marketing
|
||||
'app-store-optimizer': {
|
||||
'keywords': ['app store', 'aso', 'store listing', 'keywords'],
|
||||
'triggers': ['optimize app store', 'improve aso', 'store listing']
|
||||
},
|
||||
'content-creator': {
|
||||
'keywords': ['content', 'blog', 'social media', 'copy'],
|
||||
'triggers': ['create content', 'write blog', 'social content']
|
||||
},
|
||||
'growth-hacker': {
|
||||
'keywords': ['growth', 'viral', 'acquisition', 'funnel'],
|
||||
'triggers': ['growth strategy', 'viral loop', 'acquisition']
|
||||
},
|
||||
'tiktok-strategist': {
|
||||
'keywords': ['tiktok', 'video', 'viral', 'content'],
|
||||
'triggers': ['tiktok strategy', 'viral video', 'tiktok content']
|
||||
},
|
||||
|
||||
# Project Management
|
||||
'experiment-tracker': {
|
||||
'keywords': ['experiment', 'a/b test', 'feature flag'],
|
||||
'triggers': ['track experiment', 'a/b testing', 'feature flags'],
|
||||
'proactive': True
|
||||
},
|
||||
'project-shipper': {
|
||||
'keywords': ['launch', 'ship', 'release', 'deploy'],
|
||||
'triggers': ['prepare launch', 'ship project', 'release management']
|
||||
},
|
||||
'studio-producer': {
|
||||
'keywords': ['coordinate', 'team', 'workflow', 'manage'],
|
||||
'triggers': ['coordinate team', 'manage project', 'workflow']
|
||||
},
|
||||
|
||||
# Testing
|
||||
'api-tester': {
|
||||
'keywords': ['api test', 'load test', 'endpoint testing'],
|
||||
'triggers': ['test api', 'load testing', 'endpoint test']
|
||||
},
|
||||
'performance-benchmarker': {
|
||||
'keywords': ['performance', 'benchmark', 'speed', 'optimization'],
|
||||
'triggers': ['benchmark performance', 'speed test', 'optimize']
|
||||
},
|
||||
'test-results-analyzer': {
|
||||
'keywords': ['test results', 'analyze tests', 'test failures'],
|
||||
'triggers': ['analyze test results', 'test failures', 'test report']
|
||||
},
|
||||
|
||||
# Studio Operations
|
||||
'analytics-reporter': {
|
||||
'keywords': ['analytics', 'metrics', 'data', 'reports'],
|
||||
'triggers': ['generate report', 'analyze metrics', 'analytics']
|
||||
},
|
||||
'finance-tracker': {
|
||||
'keywords': ['finance', 'budget', 'costs', 'revenue'],
|
||||
'triggers': ['track costs', 'budget analysis', 'financial report']
|
||||
},
|
||||
'infrastructure-maintainer': {
|
||||
'keywords': ['infrastructure', 'servers', 'monitoring', 'uptime'],
|
||||
'triggers': ['check infrastructure', 'server health', 'monitoring']
|
||||
},
|
||||
'support-responder': {
|
||||
'keywords': ['support', 'help', 'customer service'],
|
||||
'triggers': ['handle support', 'customer inquiry', 'help ticket']
|
||||
},
|
||||
|
||||
# Bonus
|
||||
'joker': {
|
||||
'keywords': ['joke', 'humor', 'funny', 'laugh'],
|
||||
'triggers': ['tell joke', 'add humor', 'make funny']
|
||||
},
|
||||
'studio-coach': {
|
||||
'keywords': ['coach', 'guidance', 'help', 'advice'],
|
||||
'triggers': ['need help', 'guidance', 'coach'],
|
||||
'proactive': True
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user