Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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V3 Core Implementation
Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.
spencermarx/open-code-review 126
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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.
spencermarx/open-code-review 126
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V3 Performance Optimization
Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite.
spencermarx/open-code-review 126
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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.
spencermarx/open-code-review 126
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swarm-advanced
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
spencermarx/open-code-review 126
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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.
spencermarx/open-code-review 126
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github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination
spencermarx/open-code-review 126
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Skill Builder
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.
spencermarx/open-code-review 126
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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.
spencermarx/open-code-review 126
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browser
Web browser automation with AI-optimized snapshots for claude-flow agents
spencermarx/open-code-review 126
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V3 MCP Optimization
MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.
spencermarx/open-code-review 126
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V3 CLI Modernization
CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.
spencermarx/open-code-review 126
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github-project-management
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
spencermarx/open-code-review 126
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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.
spencermarx/open-code-review 126
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ReasoningBank with AgentDB
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
spencermarx/open-code-review 126
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V3 DDD Architecture
Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.
spencermarx/open-code-review 126
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Swarm Orchestration
Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
spencermarx/open-code-review 126
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V3 Swarm Coordination
15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.
spencermarx/open-code-review 126
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github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
spencermarx/open-code-review 126
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thinking-partner
A deterministic thinking partner that challenges assumptions and applies mental models to sharpen decisions, solve problems, and think more clearly. Use this skill whenever a user says "help me think through X", "challenge my thinking", "what am I missing", "apply mental models to this", "play devil's advocate", "stress test this idea", "poke holes in my plan", "help me decide between X and Y", "what are the second-order effects", "I'm stuck on a decision", names any specific model (SWOT, first principles, inversion, pre-mortem, etc.), or asks for structured reasoning on any ambiguous, high-stakes, or complex problem. Also trigger when the user seems uncertain, is rationalizing, or is asking "am I thinking about this right?" Even casual phrases like "what do you think about..." on non-trivial topics should trigger this skill.
mattnowdev/thinking-partner 123
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mermaid-diagrams
Creating and refining Mermaid diagrams with live reload. Use when users want flowcharts, sequence diagrams, class diagrams, ER diagrams, state diagrams, or any other Mermaid visualization. Provides best practices for syntax, styling, and the iterative workflow using mermaid_preview and mermaid_save tools.
veelenga/claude-mermaid 121
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jspecify-skill
Use this skill when asked to perform any of the following actions in a Java project:
- To add jspecify support
- To prevent NullPointerExceptions
- To better handle Nullability
This skill will add jspecify dependency, configure Maven or Gradle build to automatically use jspecify for checking Nullability issues.
sivaprasadreddy/sivalabs-agent-skills 119
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spring-boot-skill
Build Spring Boot 4.x applications following the best practices. Use this skill:
* When developing Spring Boot applications using Spring MVC, Spring Data JPA, Spring Modulith, Spring Security
* To create recommended Spring Boot package structure
* To implement REST APIs, entities/repositories, service layer, modular monoliths
* To use Thymeleaf view templates for building web applications
* To write tests for REST APIs and Web applications
* To write ArchUnit tests for testing architecture
* To configure the recommended plugins and configurations to improve code quality, and testing while using Maven.
* To use Spring Boot's Docker Compose support for local development
* To create Taskfile for easier execution of common tasks while working with a Spring Boot application
sivaprasadreddy/sivalabs-agent-skills 119
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obsidian
Comprehensive guidelines for Obsidian.md plugin development including all 27 ESLint rules from eslint-plugin-obsidianmd v0.1.9, TypeScript best practices, memory management, API usage (requestUrl vs fetch), UI/UX standards, locale file sentence-case enforcement, and submission requirements. Use when working with Obsidian plugins, main.ts files, manifest.json, Plugin class, MarkdownView, TFile, vault operations, or any Obsidian API development.
gapmiss/obsidian-plugin-skill 119