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Topic: python

1,527 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
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
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
autobench
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
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
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
stream-chain Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
diegopacheco/ai-playground 15
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.
diegopacheco/ai-playground 15
V3 DDD Architecture Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.
diegopacheco/ai-playground 15
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.
diegopacheco/ai-playground 15