Sponsored by

Find leads on Reddit on auto pilot

Agent skills
anthropic-claude

Topic: anthropic-claude

1,740 skills in this topic.

Verification & Quality Assurance Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
ruvnet/ruflo 31,446
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.
ruvnet/ruflo 31,446
sparc-methodology SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
ruvnet/ruflo 31,446
performance-analysis Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
ruvnet/ruflo 31,446
memory-management AgentDB memory system with HNSW vector search. Use when: need to store patterns, search for solutions, semantic lookup. Skip when: no learning needed, ephemeral tasks.
ruvnet/ruflo 31,446
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.
ruvnet/ruflo 31,446
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.
ruvnet/ruflo 31,446
stream-chain Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
ruvnet/ruflo 31,446
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.
ruvnet/ruflo 31,446
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.
ruvnet/ruflo 31,446
github-release-management Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
ruvnet/ruflo 31,446
agent-pr-manager Agent skill for pr-manager - invoke with $agent-pr-manager
ruvnet/ruflo 31,446
agent-load-balancer Agent skill for load-balancer - invoke with $agent-load-balancer
ruvnet/ruflo 31,446
Verification & Quality Assurance Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
ruvnet/ruflo 31,446
agent-user-tools Agent skill for user-tools - invoke with $agent-user-tools
ruvnet/ruflo 31,446
agent-workflow-automation Agent skill for workflow-automation - invoke with $agent-workflow-automation
ruvnet/ruflo 31,446
agent-swarm-memory-manager Agent skill for swarm-memory-manager - invoke with $agent-swarm-memory-manager
ruvnet/ruflo 31,446
swarm-orchestration 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.
ruvnet/ruflo 31,446
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.
ruvnet/ruflo 31,446
agent-coder Agent skill for coder - invoke with $agent-coder
ruvnet/ruflo 31,446
github-multi-repo Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
ruvnet/ruflo 31,446
agent-automation-smart-agent Agent skill for automation-smart-agent - invoke with $agent-automation-smart-agent
ruvnet/ruflo 31,446
agent-orchestrator-task Agent skill for orchestrator-task - invoke with $agent-orchestrator-task
ruvnet/ruflo 31,446
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.
ruvnet/ruflo 31,446