sparc-methodology
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
Discover Testing & security skills, compare source repositories and read the instructions for each workflow.
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent 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 d...
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,...
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cogn...
Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges
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...
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 intell...
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, impleme...
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
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,...
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
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 t...
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
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-learnin...
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
This skill should be used when working on architectural decisions, complex refactoring, system design, API redesign, or multi-component implementations. Also use when asked to "consult codex", "get a second opi...
Generate professional Bytebase release notes by analyzing git commits, building PR dependency graphs, checking Terraform impact, searching Linear for customer feedback, and following established conventions. Cr...
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