Browse published AI skills maintained by DNYoussef. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
98Repository stars across indexed skills
923Repository forks
222Average repository stars per indexed skill
9Repository stars may repeat across skills from the same repository.
Comprehensive 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-ba...
Creates 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 implement...
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Comprehensive PR review with multi-agent swarm specialization for security, performance, style, tests, and documentation
Specialized ML model development, training, and deployment workflow
Advanced intent interpretation system using cognitive science principles and probabilistic intent mapping
Comprehensive framework for analyzing, creating, and refining prompts for AI systems using evidence-based techniques
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement
Chain agent outputs as inputs in sequential or parallel pipelines for data flow orchestration
Debug ML training issues and optimize performance including loss divergence, overfitting, and slow convergence
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
Complete product launch workflow coordinating 15+ specialist agents across research, development, marketing, sales, and operations. Uses sequential and parallel orchestration for 10-week launch timeline.
Loop 1 of the Three-Loop Integrated Development System. Research-driven requirements analysis with iterative risk mitigation through 5x pre-mortem cycles using multi-agent consensus. Feeds validated, risk-mitig...
Comprehensive pre-deployment validation ensuring code is production-ready. Runs complete audit pipeline, performance benchmarks, security scan, documentation check, and generates deployment checklist.
Use when launching a new product end-to-end from market research through post-launch monitoring. Orchestrates 15+ specialist agents across 5 phases in a 10-week coordinated workflow including research, developm...
Loop 3 of the Three-Loop Integrated Development System. CI/CD automation with intelligent failure recovery, root cause analysis, and comprehensive quality validation. Receives implementation from Loop 2, feeds...
Use when building a production-ready REST API from requirements through deployment. Orchestrates 8-12 specialist agents across 5 phases using Test-Driven Development methodology. Covers planning, architecture,...
Comprehensive PR review using multi-agent swarm with specialized reviewers for security, performance, style, tests, and documentation. Provides detailed feedback with auto-fix suggestions and merge readiness as...
Intelligent bug fixing workflow combining root cause analysis, multi-model reasoning, Codex auto-fix, and comprehensive testing. Uses RCA agent, Codex iteration, and validation to systematically fix bugs.
Comprehensive security auditing across static analysis, dynamic testing, dependency vulnerabilities, secrets detection, and OWASP compliance
Validates that code actually works through sandbox testing, execution verification, and systematic debugging. Use this skill after code generation or modification to ensure functionality is genuine rather than...
Validates that code actually works through sandbox testing, execution verification, and systematic debugging. Use this skill after code generation or modification to ensure functionality is genuine rather than...
Automate internationalization and localization workflows for web applications with translation, key generation, and library setup
Analyze skill library to identify coverage gaps, redundant overlaps, optimization opportunities, and provide recommendations for skill portfolio improvement
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.