ruflo

Multi-agent swarm coordination for complex tasks. Uses hierarchical topology with specialized agents to break down and execute complex work across multiple files and modules. Use when: 3+ files need changes, new feature implementation, cross-module refactoring, API changes with tests, security-related changes, performance optimization across codebase, database schema changes. Skip when: single file edits, simple bug fixes (1-2 lines), documentation updates, configuration changes, quick exploration.

Agent skill for arch-system-design - invoke with $agent-arch-system-design

Agent skill for workflow - invoke with $agent-workflow

Comprehensive security scanning and vulnerability detection. Includes input validation, path traversal prevention, CVE detection, and secure coding pattern enforcement. Use when: authentication implementation, authorization logic, payment processing, user data handling, API endpoint creation, file upload handling, database queries, external API integration. Skip when: read-only operations on public data, internal development tooling, static documentation, styling changes.

Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning

Workflow creation, execution, and template management. Automates complex multi-step processes with agent coordination. Use when: automating processes, creating reusable workflows, orchestrating multi-step tasks. Skip when: simple single-step tasks, ad-hoc operations.

Comprehensive GitHub code review with AI-powered swarm coordination

Agent skill for swarm - invoke with $agent-swarm

Agent skill for spec-mobile-react-native - invoke with $agent-spec-mobile-react-native

Agent skill for trading-predictor - invoke with $agent-trading-predictor

Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management

Agent skill for analyze-code-quality - invoke with $agent-analyze-code-quality

Agent skill for workflow-automation - invoke with $agent-workflow-automation

Agent skill for ops-cicd-github - invoke with $agent-ops-cicd-github

AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, searching for similar solutions, semantic lookup of past work, learning from previous tasks, sharing knowledge between agents, building knowledge base. Skip when: no learning needed, ephemeral one-off tasks, external data sources available, read-only exploration.

Agent skill for performance-optimizer - invoke with $agent-performance-optimizer

Agent skill for architecture - invoke with $agent-architecture

Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration

Agent skill for payments - invoke with $agent-payments

AI-assisted pair programming with multiple modes (driver$navigator$switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.

Agent spawning, lifecycle management, and coordination patterns. Manages 60+ agent types with specialized capabilities. Use when: spawning agents, coordinating multi-agent tasks, managing agent pools. Skip when: single-agent work, no coordination needed.

Agent skill for planner - invoke with $agent-planner

Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support. 75x faster with agentic-flow integration. Use when: semantic search, pattern matching, similarity queries, knowledge retrieval. Skip when: exact text matching, simple lookups, no semantic understanding needed.

SPARC development workflow: Specification, Pseudocode, Architecture, Refinement, Completion. A structured approach for complex implementations that ensures thorough planning before coding. Use when: new feature implementation, complex implementations, architectural changes, system redesign, integration work, unclear requirements. Skip when: simple bug fixes, documentation updates, configuration changes, well-defined small tasks, routine maintenance.

Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management

Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination

Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows

Agent skill for repo-architect - invoke with $agent-repo-architect

Agent skill for orchestrator-task - invoke with $agent-orchestrator-task

Agent skill for swarm-memory-manager - invoke with $agent-swarm-memory-manager

Agent skill for code-analyzer - invoke with $agent-code-analyzer

GitHub workflow automation, PR management, issue tracking, and code review coordination. Integrates with GitHub Actions and repository management. Use when: PR creation, code review, issue management, release automation, workflow setup. Skip when: local-only changes, non-GitHub repositories.

Agent skill for docs-api-openapi - invoke with $agent-docs-api-openapi

Agent skill for researcher - invoke with $agent-researcher

Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms

Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform

Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Claude Skills specification.

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows

Agent skill for tester - invoke with $agent-tester

Agent skill for agentic-payments - invoke with $agent-agentic-payments

Agent skill for data-ml-model - invoke with $agent-data-ml-model

Agent skill for performance-monitor - invoke with $agent-performance-monitor

Agent skill for memory-coordinator - invoke with $agent-memory-coordinator

Agent skill for safla-neural - invoke with $agent-safla-neural

Agent skill for dev-backend-api - invoke with $agent-dev-backend-api

Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory

Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.

Agent skill for neural-network - invoke with $agent-neural-network

Agent skill for coder - invoke with $agent-coder