Krish Potanwar
Community@krishpotanwar ยท Nagpur, Maharashtra ๐ฎ๐ณ
CSE (AI/ML) @ RBU Nagpur ยท Building HisaabKitaab ยท CP on LC/CF/CC ยท Open to internships & collabs ๐
Agent Skills by Krish Potanwar
Showing 30 vetted skills indexed across 1 GitHub repositories.
V3 MCP Optimization
Optimize MCP server architecture with connection pooling and load balancing.
stream-chain
Coordinate multi-agent sequences for data processing and code analysis.
sparc-methodology
Coordinate multi-agent software development workflows across specification, architecture, refinement, review, and deployment phases.
Hooks Automation
Automate pre/post operation hooks for code validation, formatting, and session management.
V3 CLI Modernization
Modernize CLI tools with modular commands and interactive prompts.
github-workflow-automation
Automate GitHub repository management and CI/CD pipelines across multiple repositories.
Verification & Quality Assurance
Automate code verification, quality scoring, and rollback in CI/CD pipelines.
V3 Deep Integration
Replace redundant code in AI agent systems with integrated, efficient design.
Skill Builder
Generate structured Codex Skill templates with YAML frontmatter and directory layouts.
V3 Core Implementation
Implement domain-driven design modules for TypeScript applications.
ReasoningBank with AgentDB
Manage agent experiences and patterns with a high-speed vector database.
ReasoningBank Intelligence
Implement adaptive learning and pattern matching for autonomous AI agents.
V3 Security Overhaul
Remediate high-severity CVEs and enforce secure coding patterns.
swarm-advanced
Orchestrate multi-agent swarms for distributed workflow management.
github-release-management
Automate GitHub release planning, testing, builds, and deployment orchestration.
AgentDB Advanced Features
Implements QUIC synchronization, multi-database coordination and hybrid vector-metadata search for distributed AI systems.
browser
Automate web browsing tasks with snapshot-based element references.
V3 DDD Architecture
Convert monolithic codebases into modular domain-oriented architecture with bounded contexts.
Swarm Orchestration
Coordinate multiple AI agents across distributed systems with shared memory.
V3 Memory Unification
Integrate legacy memory systems into an AgentDB backend with HNSW vector search.
github-code-review
Coordinate multiple AI agents to review GitHub pull requests across code quality domains.
AgentDB Performance Optimization
Optimize AgentDB vector database performance with quantization, HNSW indexing, and caching.
AgentDB Memory Patterns
Store and retrieve conversation history and facts for AI agents.
V3 Performance Optimization
Benchmark, validate, and optimize Codex v3 model performance across speed, memory, and stability.