Agent Skills by Jonathan Gao
Showing 31 vetted skills indexed across 1 GitHub repositories.
v3-mcp-optimization
Optimize claude-flow v3 MCP server response times with connection pooling and load balancing.
stream-chain
Coordinate multi-agent workflows with streaming data flow.
sparc-methodology
Coordinate software development from specification to completion using SPARC phases.
hooks-automation
Automate Claude Code coordination, validation, and learning through pre/post operation hooks.
v3-cli-modernization
Modularizes the claude-flow v3 CLI with commands, prompts, and hooks.
github-workflow-automation
Automates GitHub CI/CD pipelines and multi-repo coordination with AI swarm orchestration.
verification-and-quality-assurance
Score code truth and verify quality with automatic rollback in CI/CD pipelines.
v3-deep-integration
Consolidate claude-flow into a unified agentic-flow@alpha extension with an adapter layer.
skill-builder
Generate Claude Code Skill directories with YAML frontmatter and progressive disclosure structure.
daily-notes
Aggregates git, cloude-mem, transcript, and PR activity into dated Obsidian daily notes with PST-aware boundaries.
v3-core-implementation
Implement a DDD modular core for claude-flow v3 with Inversify DI.
reasoningbank-with-agentdb
Integrates ReasoningBank with AgentDB for adaptive learning and trajectory tracking.
reasoningbank-intelligence
Coordinate adaptive learning and meta-cognition for AI agents with AgentDB persistence.
v3-security-overhaul
Overhaul claude-flow v3 security architecture to remediate critical CVEs.
swarm-advanced
Orchestrate distributed research, development, and testing workflows with swarm topologies.
github-release-management
Automate GitHub release orchestration and version management with claude-flow.
agentdb-advanced-features
Synchronize distributed AgentDB nodes with QUIC-based cross-node updates.
browser
Automate browser tasks and data gathering using AI-optimized snapshots with element refs.
v3-ddd-architecture
Decompose claude-flow v3 into modular bounded contexts using DDD and microkernel patterns.
swarm-orchestration
Coordinate multi-agent swarms across mesh, hierarchical, and adaptive topologies.
v3-memory-unification
Consolidate SQLite and Markdown memory stores into a unified AgentDB backend with HNSW indexing.
github-code-review
Coordinate multiple AI agents to review GitHub pull requests across security, performance, and architecture.
agentdb-performance-optimization
Apply quantization, HNSW indexing, caching, and batch operations to optimize AgentDB vector performance.
agentdb-memory-patterns
Implement persistent memory patterns for AI agents using AgentDB.