LLM & Agents

Automatically applies when securing AI/LLM applications. Ensures prompt injection detection, PII redaction for AI contexts, output filtering, content moderation, and secure prompt handling.

Implement the /chat endpoint that performs agent-based RAG reasoning with proper input validation and response formatting.

Generates a static MOVA AI bootstrap pack for a target model/environment (no LLM calls). Input: env.mova_ai_bootstrap_generate_v1, output: ds.mova_ai_bootstrap_pack_v1.

Interactive tutorial for Spec-Driven Development with claude-foundry (plugin:foundry@claude-foundry)

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.

Parse ctest and sanitizer output, summarize failures, identify root causes, and track test coverage for Orpheus SDK builds.

CLI utility to communicate with other CLI Agents or Scripts in other tmux panes; use it only when user asks you to communicate with other CLI Agents or Scripts in other tmux panes.

This skill generates a comprehensive set of Frequently Asked Questions (FAQs) from the course description, course content, learning graphs, concept lists, MicroSims, and glossary terms to help students understand common questions and prepare content for chatbot integration. Use this skill after course description, learning graph, glossary, and at least 30% of chapter content exist.

Deep research with sequential thinking and parallel agents

Run comprehensive tests on plugin components using the modular test runner. Validates hooks, agents, skills, and plugin structure across all PopKit plugin packages.

Build and deploy this Next.js LangChain agent application. Use when building, deploying, or preparing the project for production.

Domain-specific configuration profiles for learning resource creation. Defines search strategies, special fields, terminology policies, and content structures for different academic domains: technology, history, science, arts, and general. Use when researcher or writer agents need domain-adapted behavior.

This skill should be used when the user says "commit", "create a commit", "commit changes", "done with changes", "ready to commit", or when Claude has completed implementing a feature or fix and needs to commit the work.

Interpretive guidance for designing Claude Code slash commands. Helps you apply official documentation effectively and create high-quality commands. Use when creating or reviewing slash commands.

Build specialized sub-agents for the workflow system

Generate structured prompts for frontend development tasks following established patterns. Use when the user requests prompts for wireframes, UI implementation, data binding, or routing functionality in React/Next.js projects with specific formatting requirements (Cursor rules, file paths, test-driven development).

Brainstorm and advise on technical decisions using structured process and MCP helpers. EXCLUSIVE to brainstormer agent. Does NOT implement — only advises.

Main workflow orchestrator for complex tasks. Coordinates phase transitions, enforces checkpoints based on config, manages subagent delegation. Invoke for [COMPLEX] tasks.

Creating and Managing Sub-agents in Claude Code. Design agent personas, define proactive triggers, set tool permissions, structure agent files. Use when building specialized agents for code review, debugging, architecture, or domain-specific tasks.

This skill provides expert guidance for creating, writing, building, and refining Claude Code Skills. It should be used when working with SKILL.md files, authoring new skills, improving existing skills, or understanding skill structure and best practices.