Agent Skills by Omar abdulkadir nur hassan
Showing 30 vetted skills indexed across 1 GitHub repositories.
V3 MCP Optimization
Optimize MCP server performance for Claude Flow v3 with connection pooling and load balancing.
stream-chain
Chain outputs between steps to orchestrate multi-agent workflows.
sparc-methodology
Coordinate SPARC-driven software development with multi-agent orchestration across five phases.
Hooks Automation
Coordinate, validate, and learn from Claude Code operations using pre/post hooks.
V3 CLI Modernization
Modernize claude-flow v3 CLI with modular commands and interactive prompts.
github-workflow-automation
Coordinate GitHub Actions workflows across multiple repositories with swarm automation.
Verification & Quality Assurance
Automate code, agent, and task verification with real-time truth scoring.
V3 Deep Integration
Transform claude-flow into a unified agentic-flow@alpha extension with an adapter-layer architecture.
Skill Builder
Creates scaffolded skill directories with README.md and starter templates.
V3 Core Implementation
Implement a TypeScript V3 core with DDD domains and a microkernel.
ReasoningBank with AgentDB
Track trajectories, judge verdicts, distill memories, and retrieve patterns with AgentDB.
ReasoningBank Intelligence
Implement adaptive learning for AI agents using ReasoningBank and AgentDB.
V3 Security Overhaul
Orchestrate claude-flow v3 security overhauls addressing CVEs and secure-by-default patterns.
swarm-advanced
Orchestrate distributed multi-agent workflows across mesh, hierarchical, star, and ring topologies.
github-release-management
Orchestrate GitHub release workflows across planning, validation, packaging, and publishing.
AgentDB Advanced Features
Configure distributed AgentDB clusters with QUIC sync and hybrid search.
browser
Automate web browser tasks using AI-optimized snapshots and element refs.
V3 DDD Architecture
Reorganize claude-flow v3 orchestrator into modular bounded contexts using Domain-Driven Design.
Swarm Orchestration
Orchestrate multi-agent swarms across mesh, hierarchical, and adaptive topologies.
V3 Memory Unification
Consolidate SQLiteBackend and MarkdownBackend memory into a unified AgentDB with HNSW indexing.
github-code-review
Coordinate AI agents to review GitHub pull requests across code, tests, and docs.
AgentDB Performance Optimization
Optimize AgentDB vector databases with quantization, HNSW indexing, and caching.
AgentDB Memory Patterns
Configure AI agents to persist and retrieve memory across sessions using AgentDB.
V3 Performance Optimization
Optimize Claude v3 workflows with Flash Attention and AgentDB HNSW indexing.