MAJD DERBALI
Community@derbalimajd04-dot
MAJD DERBALI maintains a Codex-Flow skill registry covering multi-agent swarm orchestration, AgentDB vector memory, SPARC methodology, and GitHub CI/CD coordination.
Agent Skills by MAJD DERBALI
Showing 46 vetted skills indexed across 1 GitHub repositories.
derbalimajd04-dotV3 MCP Optimization
Implements connection pooling, load balancing, and tool registry optimization for MCP servers.
derbalimajd04-dotstream-chain
Chains sequential prompts so each step's output feeds the next workflow step.
derbalimajd04-dotsparc-methodology
Orchestrates multi-agent software development using the SPARC phased methodology with TDD workflows.
derbalimajd04-dotsource-command-claude-flow-help
Displays Codex-Flow CLI commands and usage reference for agent orchestration.
derbalimajd04-dotHooks Automation
Automates pre/post-operation hooks for agent coordination, formatting, and session memory.
derbalimajd04-dotV3 CLI Modernization
Modernizes Codex-flow v3 CLI with modular commands, interactive prompts, and hooks integration.
derbalimajd04-dotsource-command-sparc-integration
Merges outputs from multiple development modes into a tested, cohesive system.
derbalimajd04-dotgithub-workflow-automation
Automates GitHub Actions workflows, CI/CD pipelines, and repository management with swarm coordination.
derbalimajd04-dotVerification & Quality Assurance
Verify code quality with truth scoring, automated checks, and git-based rollback.
derbalimajd04-dotsource-command-sparc-devops
Automates infrastructure deployment, CI/CD pipelines, and cloud resource provisioning workflows.
derbalimajd04-dotV3 Deep Integration
Migrates Codex-flow onto agentic-flow@alpha adapters to eliminate duplicate orchestration code.
derbalimajd04-dotSkill Builder
Create Codex Skills with YAML frontmatter and progressive disclosure structure.
derbalimajd04-dotsource-command-sparc-spec-pseudocode
Generates modular pseudocode specification files with TDD anchors from project requirements.
derbalimajd04-dotsource-command-sparc-code
Generates modular code from pseudocode and architecture using the SPARC code mode.
derbalimajd04-dotV3 Core Implementation
Implements DDD domains and clean architecture patterns for TypeScript core modules.
derbalimajd04-dotReasoningBank with AgentDB
Implement adaptive agent learning with trajectory tracking and vector-based memory retrieval.
derbalimajd04-dotsource-command-claude-flow-memory
Store, query, and manage persistent memory entries in the Codex-Flow memory system.
derbalimajd04-dotReasoningBank Intelligence
Implement adaptive learning for AI agents using ReasoningBank pattern recognition and strategy optimization.
derbalimajd04-dotV3 Security Overhaul
Remediates critical CVEs and implements secure-by-default patterns for Codex-flow v3.
derbalimajd04-dotswarm-advanced
Orchestrates multi-agent swarms for research, development, testing, and analysis workflows.
derbalimajd04-dotsource-command-sparc-refinement-optimization-mode
Refactors code, enforces file size limits, and optimizes system performance via SPARC mode.
derbalimajd04-dotgithub-release-management
Orchestrates GitHub releases with automated versioning, testing, deployment, and rollback workflows.
derbalimajd04-dotAgentDB Advanced Features
Configure QUIC synchronization, hybrid search, and multi-database management for AgentDB vector stores.
derbalimajd04-dotbrowser
Automates web browser navigation, interaction, and data extraction using AI-optimized accessibility snapshots.
Frequently Asked Questions About MAJD DERBALI
FAQPage SchemaWhat tasks can I accomplish with MAJD DERBALI's Codex-Flow skills?▼
You can orchestrate multi-agent swarms for parallel task execution, implement semantic vector search and persistent agent memory with AgentDB, automate GitHub code review, releases, and multi-repo synchronization, apply the SPARC development methodology, and run AI-assisted pair programming with truth-score verification.
Who are these skills designed for?▼
These skills target developers and platform engineers building distributed multi-agent systems, RAG pipelines, and self-learning agents. They also serve DevOps engineers managing GitHub CI/CD pipelines, release orchestration, and project boards, plus teams adopting the SPARC specification-to-completion methodology.
What are the installation prerequisites and runtime dependencies?▼
GitHub skills require the GitHub CLI (gh) authenticated, git, Node.js v16+ (v20+ for release management), and Codex-flow or ruv-swarm configured. AgentDB skills need the AgentDB vector database. Browser automation uses Codex-flow browser tools such as open, snapshot, click, fill, and screenshot.
How does AgentDB improve agent memory and search performance?▼
AgentDB provides HNSW indexing delivering 150x to 12,500x faster search, quantization for 4-32x memory reduction, QUIC synchronization, and hybrid search. It supports session memory, long-term storage, pattern learning, and experience replay for stateful agents, chat systems, and RAG knowledge bases.
What does the SPARC methodology skill set include?▼
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) provides orchestrated modes including specification writer, auto-coder, debugger, security reviewer, optimizer, DevOps deployer, documentation writer, and post-deployment monitor, coordinated by a SPARC orchestrator with TDD and multi-agent delegation.