All Skills

```yaml --- name: argo-expert description: "Expert in Argo ecosystem (CD, Workflows, Rollouts, Events) for GitOps, continuous delivery, progressive delivery, and workflow orchestration. Specializes in production-grade configurations, multi-cluster management, security hardening, and advanced deploym

Use when designing, building, or refining frontend UI/UX: layouts, components, visual systems, typography, color, and UX patterns for websites, landing pages, dashboards, and product interfaces. Provides searchable styles, palettes, font pairings, charts, and stack best practices (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind).

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.

Expert in D-Bus IPC (Inter-Process Communication) on Linux systems. Specializes in secure service communication, method calls, signal handling, and system integration. HIGH-RISK skill due to system service access and privileged operations.

Use when executing implementation plans with independent tasks in the current session. Dispatches fresh subagent per task.

Concurrent operations with asyncio and Tokio, focusing on race condition prevention, resource safety, and performance

# Design Systems Skill ```yaml name: design-systems-expert risk_level: LOW description: Expert in token-based theming, component APIs, design system architecture, and creating scalable design foundations version: 1.0.0 author: JARVIS AI Assistant tags: [design-system, tokens, theming, components, a

This skill should be used when the user asks to "integrate DSPy with Haystack", "optimize Haystack prompts using DSPy", "use DSPy to improve Haystack pipeline", mentions "Haystack pipeline optimization", "combining DSPy and Haystack", "extract DSPy prompt for Haystack", or wants to use DSPy's optimization capabilities to automatically improve prompts in existing Haystack pipelines.

Expert in database schema design with focus on normalization, indexing strategies, FTS optimization, and performance-oriented architecture for desktop applications

Use when handling user input, authentication, data storage, or external integrations. Use when building any feature that accepts untrusted data, manages user sessions, or interacts with third-party services.

Create interactive KPI dashboards for construction projects. Track schedule, cost, quality, and safety metrics in real-time.

Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction.

Expert in graph database design and development with deep knowledge of graph modeling, traversals, query optimization, and relationship patterns. Specializes in SurrealDB but applies generic graph database concepts. Use when designing graph schemas, optimizing graph queries, implementing complex relationships, or building graph-based applications.

Review a pull request by checking the code changes, PR description, and CI status against the linked Jira ticket requirements. Produces an AC checklist and flags concerns.

# Encryption Skill --- name: encryption version: 1.0.0 domain: security/cryptography risk_level: HIGH languages: [python, typescript, rust, go] frameworks: [sqlcipher, cryptography, libsodium] requires_security_review: true compliance: [GDPR, HIPAA, PCI-DSS, SOC2] last_updated: 2025-01-15 --- > **

Write follow-up emails that re-engage without being annoying. Uses proven psychology for follow-up sequences. 42% of replies come from follow-ups.

Select the right Proof of Life (PoL) probe based on hypothesis, risk, and resources. Use this to match the validation method to the real learning goal, not tooling comfort.

Meta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances, self-harm, criminal planning. 94-95% accuracy. Deploy with vLLM, HuggingFace, Sagemaker. Integrates with NeMo Guardrails.

Generates Docker and docker-compose configuration for multi-container development

This skill should be used when the user asks to "sync github forks", "sync forks", "pull all my forks", or wants to create a bash script that clones or pulls all their GitHub forked repositories.

Language-specific auto-lint/format/typecheck pipeline. Supports Python (ruff+pyright), TypeScript (prettier+eslint+tsc), Go (gofmt+golangci-lint). Auto-fix and convergence loops.

This skill should be used when the user asks to "optimize an agent with GEPA", "use reflective optimization", "optimize ReAct agents", "provide feedback metrics", mentions "GEPA optimizer", "LLM reflection", "execution trajectories", "agentic systems optimization", or needs to optimize complex multi-step agents using textual feedback on execution traces.

Ship, measure, and learn effectively. Use when planning staged rollouts, setting up metrics hierarchies, running bet retrospectives, or executing GTM launches. Part of the Modern Product Operating Model collection.

LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.