LLM & Agents

Generate optimized instructions for Claude (Project instructions, Skills, or standalone prompts). Use when users request creating project setups, writing effective prompts, building Skills, or need guidance on instruction types for Claude.ai.

Comprehensive Supabase expert with access to 2,616 official documentation files covering PostgreSQL database, authentication, real-time subscriptions, storage, edge functions, vector embeddings, and all platform features. Invoke when user mentions Supabase, PostgreSQL, database, auth, real-time, storage, edge functions, backend-as-a-service, or pgvector.

Auto-activates at session start to surface relevant learnings. Use when starting work in a domain to recall past insights from ~/.claude/learnings/.

Expert on Shelby Protocol network infrastructure, RPC servers, storage providers, Cavalier implementation, tile architecture, performance optimization, connection management, and DoubleZero private network. Triggers on keywords Shelby RPC, storage provider, Cavalier, tile architecture, private network, DoubleZero, network performance, RPC endpoint, request hedging, connection pooling.

Expert prompt engineer specializing in designing, optimizing, and managing prompts for large language models. Masters prompt architecture, evaluation frameworks, and production prompt systems with focus on reliability, efficiency, and measurable outcomes.

Create event-driven hooks for Claude Code automation. Configure PreToolUse, PostToolUse, Stop, and other hook events with bash scripts, environment variables, matchers, and exit codes.

Interactive skill creator for Claude Code. Triggers when user mentions creating skills, building skills, skill templates, skill frontmatter, allowed-tools, or wants to scaffold a new skill.

Expert on testing Move smart contracts on Aptos, including unit tests, integration tests, Move Prover formal verification, debugging strategies, and test coverage. Triggers on keywords move test, unit test, integration test, move prover, formal verification, debug, coverage, assert, expect

Reusable QA harness for testing LLM agents and personas. Defines test suites with must-ace tasks, refusal edge cases, scoring rubrics, and regression protocols. Use when validating agent behavior, testing prompts after changes, or establishing quality baselines.

iOS app building and testing automation using Xcode simulator. Build, run, test iOS apps, capture screenshots, automate UI testing with XCTest, and integrate with Claude Code for mobile development workflows on macOS.

Use when storing project artifacts in basic memory storage.

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.

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.

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).

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.

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.

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.

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.

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.

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.