Vinamr Bajaj
Community@bajajvinamr · IIIT Lucknow
I am a sophomore student majoring in Information Technology at the Indian Institute of Information Technology, Lucknow.
Agent Skills by Vinamr Bajaj
Showing 63 vetted skills indexed across 1 GitHub repositories.
V3 MCP Optimization
Optimize claude-flow v3 MCP servers to reduce startup latency and achieve sub-100ms response times.
stream-chain
Orchestrate multi-step, multi-agent workflows by streaming outputs between steps.
sparc-methodology
Coordinate multi-agent software development across SPARC methodology phases.
Hooks Automation
Automate Claude Code operations with configurable hooks and MCP swarm tools.
V3 CLI Modernization
Automate claude-flow v3 CLI modernization with modular commands, interactive prompts, and hooks.
github-workflow-automation
Automate GitHub workflow orchestration and CI/CD management with AI swarm coordination.
Verification & Quality Assurance
Automate truth scoring, code quality checks, and rollback with JSON outputs.
V3 Deep Integration
Unify claude-flow into an agentic-flow@alpha extension with a migration plan.
Skill Builder
Generate Claude Skill scaffolds with SKILL.md frontmatter and directory structure.
V3 Core Implementation
Implement a claude-flow v3 core with DDD, clean architecture, and DI.
gstack
Automate QA browser interactions and evidence capture via a Playwright-based daemon.
ReasoningBank with AgentDB
Store and retrieve agent experiences with AgentDB for self-learning decision-making.
ReasoningBank Intelligence
Enable adaptive learning and meta-cognitive reasoning for AI agents.
V3 Security Overhaul
Overhaul claude-flow v3 security architecture to remediate critical vulnerabilities.
swarm-advanced
Orchestrate multi-agent swarms across distributed networks with fault-tolerant coordination.
github-release-management
Automates GitHub release orchestration from planning to deployment for multi-repo projects.
AgentDB Advanced Features
Enable distributed AgentDB deployments with QUIC synchronization and hybrid vector+metadata search.
browser
Automate web interactions using agent-browser with AI-optimized element references.
V3 DDD Architecture
Decompose a god-object orchestrator into bounded contexts with a microkernel core.
Swarm Orchestration
Orchestrate multi-agent swarms across mesh, hierarchical, and adaptive topologies.
V3 Memory Unification
Migrate SQLiteBackend, MarkdownBackend, and HybridBackend memory to a unified AgentDB service.
github-code-review
Coordinate AI agents to perform parallel code reviews on GitHub pull requests.
AgentDB Performance Optimization
Optimize AgentDB vector databases with quantization, HNSW indexing, and caching.
AgentDB Memory Patterns
Stores and retrieves AgentDB memory patterns for cross-session AI agent learning and context management.