| name | windsurf-cascade-agents |
| description | Create custom Cascade agent configurations for specialized tasks. Activate when users mention "custom cascade agent", "specialized ai agent", "domain-specific cascade", "agent configuration", or "custom ai behavior". Handles custom agent creation and configuration. |
| allowed-tools | Read,Write,Edit,Bash,Grep,Glob |
| version | 1.0.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
Windsurf Cascade Agents
Create custom Cascade agent configurations for domain-specific tasks.
Directory Structure
project-root/
.windsurf/
agents/
registry.json # Agent registry
# Available agents
# Activation triggers
# Priority ordering
definitions/
security-reviewer.agent.json # Security review agent
# Security-focused prompts
# Vulnerability patterns
# Compliance checks
api-designer.agent.json # API design agent
# REST/GraphQL patterns
# Schema validation
# Documentation generation
performance-optimizer.agent.json # Performance agent
# Profiling integration
# Optimization patterns
# Benchmark comparison
documentation-writer.agent.json # Docs agent
# Documentation style
# API documentation
# User guide generation
contexts/
shared-context.md # Common context for all agents
# Project overview
# Team conventions
# Technology stack
security-context.md # Security agent context
# Security requirements
# Threat model
# Compliance standards
api-context.md # API agent context
# API conventions
# Schema standards
# Versioning policies
prompts/
system-prompts/
security-system.md # Security agent system prompt
api-system.md # API agent system prompt
performance-system.md # Performance agent system prompt
user-templates/
review-request.md # Review request template
design-request.md # Design request template
optimize-request.md # Optimization request template
Agent Features
Domain Specialization
- Security-focused analysis
- API design patterns
- Performance optimization
- Documentation generation
Context Management
- Persistent domain knowledge
- Project-specific patterns
- Team conventions integration
- Cross-agent context sharing
Configuration Steps
Define Agent Purpose
- Identify specialized needs
- Document domain knowledge
- Set behavior guidelines
Create Agent Configuration
- Write system prompts
- Configure context sources
- Define activation triggers
Test and Refine
- Test with sample tasks
- Gather feedback
- Iterate on prompts
Success Criteria
- 90%+ accuracy on domain-specific prompts
- Appropriate agent activation
- Specialized workflows enabled