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Claude Skills by DNYoussef
github.com/DNYoussef15 skills0 installs17 views
- Agent CreatorCreates specialized AI agents with optimized system prompts using the official 4-phase SOP methodology from Desktop .claude-flow, combined with evidence-based prompting techniques and Claude Agent SDK implementation. Use this skill when creating production-ready agents for specific domains, workflows, or tasks requiring consistent high-quality performance with deeply embedded domain knowledge.Votes: 0GitHub stars: 4
- When Building Semantic Search Use Agentdb Vector SearchImplement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Build RAG systems, semantic search engines, and knowledge bases.Votes: 0GitHub stars: 4
- When Optimizing Vector Search Use Agentdb OptimizationOptimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations for scaling to millions of vectors.Votes: 0GitHub stars: 4
- When Debugging Code Use Debugging AssistantIntelligent debugging workflow that systematically identifies symptoms, performs root cause analysis, generates fixes with explanations, validates solutions, and prevents regressions through comprehensive testing.Votes: 0GitHub stars: 4
- Ml Expert**Version**: 1.0.0 **Type**: Agent-based skill with SDK implementation **Domain**: Machine learning model implementation, training, and optimizationVotes: 0GitHub stars: 4
- Ml Training Debugger**Version**: 1.0.0 **Type**: Agent-based skill with SDK implementation **Domain**: Machine learning training diagnosticsVotes: 0GitHub stars: 4
- When Deploying Cloud Swarm Use Flow Nexus Swarm```yaml metadata: skill_name: when-deploying-cloud-swarm-use-flow-nexus-swarm version: 1.0.0 category: platform-integration difficulty: advanced estimated_duration: 40-70 minutes trigger_patterns: - "deploy cloud swarm" - "flow nexus swarm" - "distributed workflow" - "event-driven agents" - "cloud agent coordination" dependencies: - flow-nexus MCP server - Claude Flow hooks - E2B account (optional) agents: - hierarchical-coordinator (swarm orchestrator) - flow-nexus-swarm (cloud platform mana...Votes: 0GitHub stars: 4
- When Training Neural Networks Use Flow Nexus Neural```yaml metadata: skill_name: when-training-neural-networks-use-flow-nexus-neural version: 1.0.0 category: platform-integration difficulty: advanced estimated_duration: 45-90 minutes trigger_patterns: - "train neural network" - "machine learning model" - "distributed training" - "flow nexus neural" - "E2B sandbox training" dependencies: - flow-nexus MCP server - E2B account (optional for cloud) - Claude Flow hooks agents: - ml-developer (primary model architect) - flow-nexus-neural (platform ...Votes: 0GitHub stars: 4
- When Using Flow Nexus Platform Use Flow Nexus Platform```yaml metadata: skill_name: when-using-flow-nexus-platform-use-flow-nexus-platform version: 1.0.0 category: platform-integration difficulty: intermediate estimated_duration: 30-60 minutes trigger_patterns: - "flow nexus platform" - "manage flow nexus" - "flow nexus authentication" - "deploy to flow nexus" - "flow nexus sandboxes" dependencies: - flow-nexus MCP server - Valid email for registration - Claude Flow hooks agents: - cicd-engineer (infrastructure orchestrator) - backend-dev (servi...Votes: 0GitHub stars: 4
- Prompt ArchitectComprehensive framework for analyzing, creating, and refining prompts for AI systems. Use when creating prompts for Claude, ChatGPT, or other language models, improving existing prompts, or applying evidence-based prompt engineering techniques. Applies structural optimization, self-consistency patterns, and anti-pattern detection to transform prompts into highly effective versions.Votes: 0GitHub stars: 4
- When Configuring Sandbox Security Use Sandbox Configurator```yaml metadata: skill_name: when-configuring-sandbox-security-use-sandbox-configurator version: 1.0.0 category: specialized-tools difficulty: intermediate estimated_duration: 20-40 minutes trigger_patterns: - "configure sandbox security" - "sandbox isolation" - "file system boundaries" - "sandbox permissions" - "secure sandbox" dependencies: - Claude Code sandbox environment - Admin/root access (if applicable) agents: - security-manager (security architect) - cicd-engineer (infrastructure s...Votes: 0GitHub stars: 4
- When Gathering Requirements Use Interactive Planner```yaml metadata: skill_name: when-gathering-requirements-use-interactive-planner version: 1.0.0 category: specialized-tools difficulty: beginner estimated_duration: 15-30 minutes trigger_patterns: - "gather requirements" - "interactive questions" - "requirements gathering" - "clarify requirements" agents: - planner - researcher - system-architect success_criteria: - Requirements gathered - Specifications documented - Stakeholder approval - Action plan created ```Votes: 0GitHub stars: 4
- When Setting Network Security Use Network Security Setup```yaml metadata: skill_name: when-setting-network-security-use-network-security-setup version: 1.0.0 category: specialized-tools difficulty: intermediate estimated_duration: 25-45 minutes trigger_patterns: - "network security" - "configure network isolation" - "trusted domains" - "firewall rules" - "network access control" dependencies: - Claude Code sandbox - Network configuration access agents: - security-manager - cicd-engineer success_criteria: - Trusted domains configured - Access polic...Votes: 0GitHub stars: 4
- When Testing Code Use Testing Framework- **Skill ID**: when-testing-code-use-testing-framework - **Version**: 1.0.0 - **Category**: Testing - **Complexity**: HIGH - **Agents Required**: tester, coder, code-analyzer - **Estimated Time**: 2-4 hoursVotes: 0GitHub stars: 4
- When Reviewing Pull Request Orchestrate Comprehensive Code ReviewUse when conducting comprehensive code review for pull requests across multiple quality dimensions. Orchestrates 12-15 specialized reviewer agents across 4 phases using star topology coordination. Covers automated checks, parallel specialized reviews (quality, security, performance, architecture, documentation), integration analysis, and final merge recommendation in a 4-hour workflow.Votes: 0GitHub stars: 4