LLM & Agents
6763 skills in Data & AI > LLM & Agents
opencode-config
Configure OpenCode settings and rules. Use when user asks to "configure opencode", "set up opencode", "create opencode config", "edit opencode.json", "set up AGENTS.md", "configure providers", "set up permissions", or needs help with OpenCode configuration files.
test-automator
Expert test automation engineer specializing in building robust test frameworks, CI/CD integration, and comprehensive test coverage. Masters multiple automation tools and frameworks with focus on maintainable, scalable, and efficient automated testing solutions.
marketing-ai-search-optimization
Operational AI search engine optimization (AEO/GEO/LLMO) for ranking in ChatGPT, Perplexity, Claude, Gemini, and other LLM-powered search platforms with technical setup, content strategies, and measurement frameworks.
installing-skills
Install skills from github.com/oaustegard/claude-skills into /mnt/skills/user. Use when user mentions "install skills", "load skills", "add skills", "update skills", "refresh skills", or references a skill not currently installed.
creating-skill
Creates Skills for Claude. Use when users request creating/updating skills, need skill structure guidance, or mention extending Claude's capabilities through custom skills.
dispatching-parallel-agents
Use when facing 3+ independent failures that can be investigated without shared state or dependencies - dispatches multiple Claude agents to investigate and fix independent problems concurrently
ai-llm
Complete LLM development and engineering skill. Covers strategy selection (prompting vs fine-tuning vs RAG), dataset design, PEFT/LoRA fine-tuning, evaluation workflows, vLLM deployment, and production optimization. Modern best practices for building, evaluating, and scaling LLM systems.
reviewing-ai-papers
Analyze AI/ML technical content (papers, articles, blog posts) and extract actionable insights filtered through enterprise AI engineering lens. Use when user provides URL/document for AI/ML content analysis, asks to "review this paper", or mentions technical content in domains like RAG, embeddings, fine-tuning, prompt engineering, LLM deployment.
product-management
A Claude Code skill for executing high-quality product management work end-to-end: discovery, strategy, AI/LLM products, roadmaps, metrics, and leadership – using only operational templates, checklists, and patterns (no theory).
qa-docs-coverage
Systematically audit codebases for documentation gaps, generate coverage reports, and create missing documentation using docs-codebase templates. Scans APIs, services, events, database schemas, and configurations to ensure comprehensive documentation coverage.
claude-settings-expert
Expert on Claude Code settings.json configuration, permissions, sandbox, environment variables, and settings hierarchy. Triggers when user mentions settings.json, permissions, allow rules, deny rules, sandbox, hooks configuration, or settings precedence.
ai-mlops
Complete MLOps skill covering production ML lifecycle and security. Includes data ingestion, model deployment, drift detection, monitoring, plus ML security (prompt injection, jailbreak defense, RAG security, privacy, governance). Modern automation-first patterns with multi-layered defenses.
api-credentials
Securely manages API credentials for multiple providers (Anthropic Claude, Google Gemini, GitHub). Use when skills need to access stored API keys for external service invocations.
skill-creator
Guide for creating effective opencode skills. Use when users want to create a new skill (or update an existing skill) that extends agent capabilities with specialized knowledge, workflows, or tool integrations.
shelby-protocol-expert
Expert on Shelby Protocol architecture, erasure coding, placement groups, read/write procedures, Clay Codes, chunking, storage providers, RPC servers, and decentralized storage system design on Aptos blockchain. Triggers on keywords Shelby Protocol, erasure coding, Clay Codes, placement groups, Shelby architecture, storage provider, blob storage, chunking, Shelby whitepaper.
inmemoria
Use when building persistent codebase intelligence for AI agents or integrating knowledge systems via MCP
ai-agents
Production-grade AI agent patterns with MCP integration, agentic RAG, handoff orchestration, multi-layer guardrails, and observability (modern best practices)
shelby-dapp-builder
Expert on building decentralized applications with Shelby Protocol storage on Aptos. Helps with dApp architecture, wallet integration (Petra), browser SDK usage, React/Vue integration, file uploads, content delivery, and building Shelby-powered applications. Triggers on keywords Shelby dApp, build on Shelby, Shelby application, Petra wallet, browser storage, web3 app, decentralized app Shelby, React Shelby, Vue Shelby.
invoking-github
Enables GitHub repository operations (read/write/commit/PR) for Claude.ai chat environments. Use when users request GitHub commits, repository updates, DEVLOG persistence, or cross-session state management via GitHub branches. Not needed in Claude Code (has native git access).
ai-prompt-engineering
Operational prompt engineering patterns, templates, and validation flows for Claude Code.