Agent Skills Hub

omc-plan

Intelligent strategic planning and requirements gathering with multi-perspective consensus loops and structured deliberation.

prompt-writing

Create, refine, and optimize high-quality YAML prompts for AI assistants using structure guidelines, template patterns, and quality standards.

internal-comms

Standardize your internal communications using company-specific guidelines and templates for reports, newsletters, and project updates.

proofread

Automated, non-destructive proofreading for LaTeX and Quarto lecture files, generating quality reports for grammar, typos, and academic style.

web-search-patterns

Advanced Gemini-powered web search plugin with smart caching, subagent context isolation, and automated query optimization.

agent-architecture

Implement production-grade AI agents with LangGraph, tool-calling guardrails, SSE streaming, and episodic memory. Includes anti-patterns, fix pairs, and stateful architecture patterns.

rag-implementation

Build production-grade RAG systems using vector databases, semantic search, and LangGraph to ground LLMs in external knowledge.

doc-reader

Read and navigate external documentation efficiently using llms.txt, MCP search, and smart parsing strategies.

customer-problems

Identify and document Customer Problems (CP) from business context. Use when starting requirements engineering or when stakeholders describe solutions instead of problems. Step 1 of Problem-Based SRS methodology.

lsp-setup

Automated LSP detection, installation, and configuration for intelligent code analysis, navigation, and diagnostics.

fuzzing-dictionary

Enhance fuzzer effectiveness by providing domain-specific tokens, magic bytes, and protocol-specific keywords to reach deep code paths.

parallel-agents

Orchestrate complex workflows by coordinating multiple specialized AI agents for multi-perspective code analysis, feature implementation, and system-wide reviews.