app-builder
Full-stack application orchestrator that analyzes natural language requests to determine tech stacks, scaffold projects, and coordinate specialized development agents.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
471 skills found
Full-stack application orchestrator that analyzes natural language requests to determine tech stacks, scaffold projects, and coordinate specialized development agents.
Official RivetKit JavaScript client guidance for browser, Node.js, and Bun. Manage Rivet Actor connections, state, RPC actions, and events.
Analyze C++ code for real-time safety violations including heap allocations, locks, blocking calls, and non-deterministic operations in high-performance audio threads.
Audit Packmind documentation by cross-referencing MDX files against the codebase to detect broken links, outdated CLI references, and missing coverage.
Systematically trace code flows, locate implementations, diagnose performance issues, and map system architecture to understand complex codebases.
Comprehensive Polymarket agent skill for prediction market data, trading API integration, and real-time WebSocket monitoring.
Perform comprehensive code reviews with a focus on security vulnerabilities, performance optimization, maintainability, and code correctness.
Pre-execution security guardrails for AI agents. Validates shell commands and file reads against 400+ security patterns to block destructive operations, credential theft, and unauthorized system access.
Virtual machine development expert focusing on bytecode design, stack-based/register-based VM implementation, memory management, and garbage collection.
Bridge assets from EVM chains to Starknet, deploy agent accounts, and register identities with the HuginnRegistry for autonomous AI agent onboarding.
Java development skill for writing clean, maintainable code using SOLID principles, pragmatic abstraction, and self-documenting practices.
Essential guide to llmemory for document storage and search: installation, database setup with pgvector, document ingestion, hybrid/semantic retrieval, and building RAG systems with multi-tenant support.