Saman Sunasara
Community@saman-sunasara · Vadodara
3rd year Computer Engineering With Specialization in Artificial Intelligence Student
Agent Skills by Saman Sunasara
Showing 30 vetted skills indexed across 1 GitHub repositories.
V3 MCP Optimization
Optimizes MCP server architecture with connection pooling and load balancing.
stream-chain
Chain sequential AI agent prompts to automate multi-step data processing workflows.
sparc-methodology
Coordinate multi-agent software development through planning, coding, testing, and deployment phases.
hooks-automation
Automates code validation, formatting, and multi-agent coordination during development workflows.
V3 CLI Modernization
Modularize CLI command handling and integrate learning-based workflow automation.
github-workflow-automation
Automate GitHub Actions workflows and repository management tasks.
Verification & Quality Assurance
Automates code verification, truth scoring, and rollback to maintain software integrity during development and deployment.
V3 Deep Integration
Integrates multiple modules into a unified, optimized AI system architecture.
Skill Builder
Create Codex Skills with YAML frontmatter and directory structure templates.
V3 Core Implementation
Implement TypeScript DDD core with domain, application, and infrastructure layers.
ReasoningBank with AgentDB
Store and retrieve AI agent trajectories for reinforcement learning workflows.
ReasoningBank Intelligence
Detect patterns and refine strategies for adaptive AI decision-making.
V3 Security Overhaul
Fix security vulnerabilities and implement secure coding patterns in CodeX v3 implementations.
swarm-advanced
Orchestrate multi-agent workflows across mesh, hierarchical, star, and ring topologies.
github-release-management
Automate release planning, testing, builds, and deployments across multiple repositories.
AgentDB Advanced Features
Enable distributed vector search with custom metrics and QUIC synchronization.
browser
Automate web navigation, interaction, and data extraction via HTML DOM elements.
V3 DDD Architecture
Restructure monolithic systems into modular bounded contexts using Domain-Driven Design.
Swarm Orchestration
Coordinate multiple agents across distributed systems with configurable topologies.
V3 Memory Unification
Merge multiple memory systems into one AgentDB with HNSW vector search.
github-code-review
Deploy AI agents to evaluate GitHub pull requests for security, performance, and architecture.
AgentDB Performance Optimization
Optimize AgentDB vector databases with quantization, indexing, and caching.
AgentDB Memory Patterns
Implement persistent storage, session tracking, and pattern learning for AI agents.
V3 Performance Optimization
Benchmark and optimize Codex-flow v3 speed, memory, and search performance.