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Topic: ai

10,359 skills in this topic.

deployer-workflow Full-stack development workflow that orchestrates deployer agents (backend, frontend, database, testing, review) in a phased pipeline. Asks which backend language (Java/Go/Rust) then runs all agents.
diegopacheco/ai-playground 15
autobench
diegopacheco/ai-playground 15
runbook-generator Reads the full codebase, detects service architecture and dependencies, then generates operational runbooks for common failure modes into runbook.md.
diegopacheco/ai-playground 15
deployer-workflow Full-stack development workflow that orchestrates deployer agents (backend, frontend, database, testing, review) in a phased pipeline. Asks which backend language (Java/Go/Rust) then runs all agents.
diegopacheco/ai-playground 15
deployer-workflow Full-stack development workflow that orchestrates deployer agents (backend, frontend, database, testing, review) in a phased pipeline. Asks which backend language (Java/Go/Rust) then runs all agents.
diegopacheco/ai-playground 15
deployer-workflow Full-stack development workflow that orchestrates deployer agents (backend, frontend, database, testing, review) in a phased pipeline. Asks which backend language (Java/Go/Rust) then runs all agents.
diegopacheco/ai-playground 15
deployer-workflow Full-stack development workflow that orchestrates deployer agents (backend, frontend, database, testing, review) in a phased pipeline. Asks which backend language (Java/Go/Rust) then runs all agents.
diegopacheco/ai-playground 15
deployer-workflow Full-stack development workflow that orchestrates all deployer agents (backend, frontend, database, testing, review, documentation) in a phased pipeline. Asks which backend language (Java/Go/Rust) then runs all agents.
diegopacheco/ai-playground 15
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.
diegopacheco/ai-playground 15
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.
diegopacheco/ai-playground 15
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.
diegopacheco/ai-playground 15
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.
diegopacheco/ai-playground 15
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.
diegopacheco/ai-playground 15
browser Web browser automation with AI-optimized snapshots for claude-flow agents
diegopacheco/ai-playground 15
github-code-review Comprehensive GitHub code review with AI-powered swarm coordination
diegopacheco/ai-playground 15
github-multi-repo Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
diegopacheco/ai-playground 15
github-project-management Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
diegopacheco/ai-playground 15
github-release-management Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
diegopacheco/ai-playground 15
github-workflow-automation Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
diegopacheco/ai-playground 15
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.
diegopacheco/ai-playground 15
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.
diegopacheco/ai-playground 15
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.
diegopacheco/ai-playground 15
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.
diegopacheco/ai-playground 15
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.
diegopacheco/ai-playground 15