backend-ralph-plan
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bruno-api
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code-review-digest-writer
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mixpanel-analytics
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monty-code-review
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plan-directory
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pr-description-writer
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process-code-review
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prisma-v7
Expert guidance for Prisma ORM v7 (7.0+). Use when working with Prisma schema files, migrations, Prisma Client queries, database setup, or when the user mentions Prisma, schema.prisma, @prisma/client, database models, or ORM. Covers ESM modules, driver adapters, prisma.config.ts, Rust-free client, and migration from v6.
generating-rbs-inline
Generates RBS-inline type annotations directly in Ruby source files as comments. Triggers when adding inline type signatures, annotating Ruby methods with rbs-inline syntax, or generating type comments without existing inline annotations.
generating-rbs
Generates RBS type signatures from Ruby source files. Triggers when creating type definitions, adding types to Ruby code, or generating .rbs files for classes/modules without existing RBS signatures.
generating-sorbet-inline
Generates Sorbet inline type signatures using sig blocks directly in Ruby source files. Triggers when adding Sorbet types, annotating Ruby methods with sig syntax, or generating type signatures for Sorbet-typed projects.
generating-sorbet
Generates Sorbet type signatures in separate RBI files from Ruby source files. Triggers when creating type definitions, adding types to Ruby code, or generating .rbi files for classes/modules without existing Sorbet signatures.
parallel-agents
Dispatch multiple agents to work on independent problems concurrently. Use when facing 3+ independent failures or tasks.
subagent-development
Execute plans using fresh subagent per task with code review between tasks. Use for high-quality iterative implementation.
ultrathink-trigger
Auto-escalate reasoning depth for complex problems. Use proactively when encountering architecture, debugging, or unfamiliar code.
advanced-agentdb-vector-search-implementation
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, and hybrid search for distributed AI systems.
agent-creator
Creates specialized AI agents with optimized system prompts using the official 4-phase SOP methodology from Desktop .claude-flow, combined with evidence-based prompting techniques and Claude Agent SDK implementation. Use this skill when creating production-ready agents for specific domains, workflows, or tasks requiring consistent high-quality performance with deeply embedded domain knowledge.
agentdb-advanced-features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
agentdb-learning-plugins
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
agentdb-memory-patterns
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
agentdb-performance-optimization
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
agentdb-persistent-memory-patterns
Implement persistent memory patterns for AI agents using AgentDB - session memory, long-term storage, pattern learning, and context management for stateful agents, chat systems, and intelligent assistants
agentdb-reinforcement-learning-training
Train AI agents using AgentDB's 9 reinforcement learning algorithms including Q-Learning, DQN, PPO, and Actor-Critic. Build self-learning agents, implement RL training loops with experience replay, and deploy optimized models to production.
agentdb-semantic-vector-search
Build semantic vector search systems with AgentDB for intelligent document retrieval, RAG applications, and knowledge bases using embedding-based similarity matching
agentdb-vector-search-optimization
Optimize AgentDB vector search performance using quantization for 4-32x memory reduction, HNSW indexing for 150x faster search, caching, and batch operations for scaling to millions of vectors.
agentdb-vector-search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
reasoningbank-intelligence
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
cascade-orchestrator
Creates sophisticated workflow cascades coordinating multiple micro-skills with sequential pipelines, parallel execution, conditional branching, and Codex sandbox iteration. Enhanced with multi-model routing (Gemini/Codex), ruv-swarm coordination, memory persistence, and audit-pipeline patterns for production workflows.
cicd-intelligent-recovery
Loop 3 of the Three-Loop Integrated Development System. CI/CD automation with intelligent failure recovery, root cause analysis, and comprehensive quality validation. Receives implementation from Loop 2, feeds failure patterns back to Loop 1. Achieves 100% test success through automated repair and theater validation. v2.0.0 with explicit agent SOPs.
code-review-assistant
Comprehensive PR review using multi-agent swarm with specialized reviewers for security, performance, style, tests, and documentation. Provides detailed feedback with auto-fix suggestions and merge readiness assessment.
feature-dev-complete
Complete feature development lifecycle from research to deployment. Uses Gemini Search for best practices, architecture design, Codex prototyping, comprehensive testing, and documentation generation. Full 12-stage workflow.
flow-nexus-neural
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
flow-nexus-platform
Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges
flow-nexus-swarm
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
functionality-audit
Validates that code actually works through sandbox testing, execution verification, and systematic debugging. Use this skill after code generation or modification to ensure functionality is genuine rather than assumed. The skill creates isolated test environments, executes code with realistic inputs, identifies bugs through systematic analysis, and applies best practices to fix issues without breaking existing functionality. This ensures code delivers its intended behavior reliably.
github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination
github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
github-project-management
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
github-workflow-automation
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
hooks-automation
Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.
skill-writer
Guide users through creating Agent Skills for Claude Code. Use when the user wants to create, write, author, or design a new Skill, or needs help with SKILL.md files, frontmatter, or skill structure.
ux-audit
Perform comprehensive UX audits on pages, components, or features. Use when the user asks to "audit UX", "review usability", "evaluate the interface", "UX review", or wants a systematic evaluation of user experience quality.
typescript-node-expert
Expert TypeScript/Node.js developer for building high-quality, performant, and maintainable CLI tools and libraries. Enforces best practices, strict typing, and modern patterns.
unreal-engine-developer
Expert Unreal Engine 5 developer and technical artist for complete game development via agentic coding. Enables AI-driven control of Unreal Editor through MCP, Python scripting, Blueprints, and C++ for level design, asset management, gameplay programming, and visual development.
interface-design
This skill is for interface design — dashboards, admin panels, apps, tools, and interactive products. NOT for marketing design (landing pages, marketing sites, campaigns).
current-location-weather
Get current weather conditions for a location. Use this skill when users ask about weather, temperature, current conditions, forecasts, or any weather-related queries like "What's the weather?", "Is it raining?", "How hot is it outside?", "What's the temperature?", or "Should I bring an umbrella?". Supports automatic location detection via IP or specific location queries.
accessibility-fundamentals
Auto-invoke when reviewing JSX with interactive elements, forms, buttons, or navigation. Enforces WCAG compliance and inclusive design.
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