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Agent skills
multi-agent

Topic: multi-agent

1,931 skills in this topic.

test-driven-development Use when implementing any feature or bugfix, before writing implementation code
6BNBN/FlowPilot 127
ui-ux-pro-max UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples.
6BNBN/FlowPilot 127
using-superpowers Use when starting any conversation to discover relevant skills and open the right SKILL.md files before responding, including before clarifying questions.
6BNBN/FlowPilot 127
verification-before-completion Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
6BNBN/FlowPilot 127
writing-plans Use when you have a spec or requirements for a multi-step task, before touching code
6BNBN/FlowPilot 127
writing-skills Use when creating new skills, editing existing skills, or verifying skills before deployment in Codex CLI.
6BNBN/FlowPilot 127
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
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
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.
spencermarx/open-code-review 126
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
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
browser Web browser automation with AI-optimized snapshots for claude-flow agents
spencermarx/open-code-review 126
github-code-review Comprehensive GitHub code review with AI-powered swarm coordination
spencermarx/open-code-review 126
github-multi-repo Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
spencermarx/open-code-review 126
github-project-management Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
spencermarx/open-code-review 126
github-release-management Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
spencermarx/open-code-review 126
github-workflow-automation Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
spencermarx/open-code-review 126
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.
spencermarx/open-code-review 126
Pair Programming 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.
spencermarx/open-code-review 126
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
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
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
sparc-methodology SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
spencermarx/open-code-review 126
stream-chain Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
spencermarx/open-code-review 126