Agent Skills by Nidhi Subrahmanya
Showing 30 vetted skills indexed across 1 GitHub repositories.
V3 MCP Optimization
Implement connection pooling and load balancing to reduce MCP server latency.
stream-chain
Chain outputs across sequential steps to coordinate multi-agent workflows.
sparc-methodology
Coordinate parallel multi-agent software development across specification, architecture, refinement, and completion phases.
Hooks Automation
Automate Codex hook operations for pre/post task handling and MCP integration.
V3 CLI Modernization
Modernize a CLI with modular commands, interactive prompts, and enhanced hooks.
github-workflow-automation
Automate GitHub workflow management with AI swarm coordination for CI/CD pipelines.
Verification & Quality Assurance
Automate code quality verification and rollback for software projects.
V3 Deep Integration
Transform Codex-flow into a specialized extension of agentic-flow@alpha.
Skill Builder
Scaffold Codex Skill definitions with YAML frontmatter and progressive disclosure structure.
V3 Core Implementation
Implement a DDD-aligned core module for Codex-flow v3 with DI and testing.
ReasoningBank with AgentDB
Integrate ReasoningBank with AgentDB for memory-driven agent reasoning.
ReasoningBank Intelligence
Automate adaptive learning and meta-cognition for AI agents.
V3 Security Overhaul
Orchestrates security overhaul for Codex-flow v3 including CVE remediation and threat modeling.
swarm-advanced
Orchestrate swarm-based workflows across distributed systems with configurable topologies.
github-release-management
Plan and execute GitHub release workflows across multiple repositories.
AgentDB Advanced Features
Synchronize distributed AgentDB nodes via QUIC with hybrid vector search.
browser
Automate browser navigation, form filling, and data extraction using element references.
V3 DDD Architecture
Reorganize Codex-flow v3 into bounded contexts with a microkernel architecture.
Swarm Orchestration
Coordinate distributed agent workflows across mesh, hierarchical, and adaptive topologies.
V3 Memory Unification
Consolidate multiple memory backends into a unified AgentDB vector store with HNSW indexing.
github-code-review
Orchestrate multi-agent code reviews on GitHub pull requests.
AgentDB Performance Optimization
Configure AgentDB with quantization, HNSW indexing, caching, and batch operations.
AgentDB Memory Patterns
Store and retrieve persistent agent memory with AgentDB and ReasoningBank.
V3 Performance Optimization
Benchmark and optimize Codex-flow v3 performance with Flash Attention and HNSW indexing.