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Agent skills
codex-skills

Topic: codex-skills

9,266 skills in this topic.

github-workflow-automation Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
aiskillstore/marketplace 232
github-project-management Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
aiskillstore/marketplace 232
github-multi-repo Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
aiskillstore/marketplace 232
github-code-review Comprehensive GitHub code review with AI-powered swarm coordination
aiskillstore/marketplace 232
functionality-audit 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 assumed. The skill creates isolated test environments, executes code with realistic inputs, identifies bugs through systematic analysis, and applies best practices to fix issues without breaking existing functionality. This ensures code delivers its intended behavior reliably.
aiskillstore/marketplace 232
micro-skill-creator Rapidly creates atomic, focused skills optimized with evidence-based prompting, specialist agents, and systematic testing. Each micro-skill does one thing exceptionally well using self-consistency, program-of-thought, and plan-and-solve patterns. Enhanced with agent-creator principles and functionality-audit validation. Perfect for building composable workflow components.
aiskillstore/marketplace 232
ml-expert Implement machine learning solutions including model architectures, training pipelines, optimization strategies, and performance improvements. This skill spawns a specialist ML implementation agent...
aiskillstore/marketplace 232
flow-nexus-platform Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges
aiskillstore/marketplace 232
flow-nexus-neural Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
aiskillstore/marketplace 232
feature-dev-complete Complete feature development lifecycle from research to deployment. Uses Gemini Search for best practices, architecture design, Codex prototyping, comprehensive testing, and documentation generation. Full 12-stage workflow.
aiskillstore/marketplace 232
cicd-intelligent-recovery 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 failure patterns back to Loop 1. Achieves 100% test success through automated repair and theater validation. v2.0.0 with explicit agent SOPs.
aiskillstore/marketplace 232
cascade-orchestrator Creates sophisticated workflow cascades coordinating multiple micro-skills with sequential pipelines, parallel execution, conditional branching, and Codex sandbox iteration. Enhanced with multi-model routing (Gemini/Codex), ruv-swarm coordination, memory persistence, and audit-pipeline patterns for production workflows.
aiskillstore/marketplace 232
agentdb-vector-search-optimization Optimize AgentDB vector search performance using quantization for 4-32x memory reduction, HNSW indexing for 150x faster search, caching, and batch operations for scaling to millions of vectors.
aiskillstore/marketplace 232
agentdb-vector-search Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
aiskillstore/marketplace 232
agentdb-semantic-vector-search Build semantic vector search systems with AgentDB for intelligent document retrieval, RAG applications, and knowledge bases using embedding-based similarity matching
aiskillstore/marketplace 232
agentdb-reinforcement-learning-training Train AI agents using AgentDB's 9 reinforcement learning algorithms including Q-Learning, DQN, PPO, and Actor-Critic. Build self-learning agents, implement RL training loops with experience replay, and deploy optimized models to production.
aiskillstore/marketplace 232
agentdb-persistent-memory-patterns Implement persistent memory patterns for AI agents using AgentDB - session memory, long-term storage, pattern learning, and context management for stateful agents, chat systems, and intelligent assistants
aiskillstore/marketplace 232
agentdb-performance-optimization Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
aiskillstore/marketplace 232
agentdb-memory-patterns Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
aiskillstore/marketplace 232
agentdb-learning-plugins Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
aiskillstore/marketplace 232
pair-programming AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.
aiskillstore/marketplace 232
performance-analysis Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
aiskillstore/marketplace 232
test-orchestrator Coordinates testing strategy and execution across all test types. Use when creating test plans, implementing tests (unit/integration/E2E), or enforcing coverage requirements (80% minimum). Applies testing-requirements.md.
aiskillstore/marketplace 232
main-orchestrator Decomposes requirements into executable tasks and coordinates domain orchestrators (frontend, backend, data, test, devops). Use when receiving PRDs, user requirements, or feature requests that span multiple domains. Acts as CEO of the AI development system.
aiskillstore/marketplace 232