langgraph
Expert LangGraph architect skill for designing stateful, multi-actor AI agent workflows with robust persistence, conditional branching, and ReAct patterns.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
254 skills found
Expert LangGraph architect skill for designing stateful, multi-actor AI agent workflows with robust persistence, conditional branching, and ReAct patterns.
Best practices for building integrations with NetBox REST and GraphQL APIs. Optimize performance, authentication, and architectural patterns for NetBox automations.
Automated quality assurance system that validates markdown deliverables against defined checklists for PB-000 market research workflows.
Write INVEST-compliant user stories with testable Given-When-Then acceptance criteria to bridge the gap between requirements and development.
A structured API interface for the Swagger Petstore, optimized for AI agents to interact with resources like pets, users, and store orders using on-demand documentation loading.
Foundry development guide for CMTAT RuleEngine contracts, including testing, deployment scripts, and project-specific Solidity patterns.
Executes a rigorous, multi-phase Fagan Inspection to systematically resolve persistent, stubborn bugs and complex code interactions.
A meta-skill for building robust AI agent skills using a TDD approach: define failure (RED), implement the skill (GREEN), and plug rationalization loopholes (REFACTOR).
Expert technical support for the Litestream disaster recovery tool, covering WAL monitoring, LTX replication, cloud storage backends, and SQLite page management.
Implementation guide for Prisma v7 SQL driver adapters, covering SqlDriverAdapter, transaction protocols, error mapping, and verification contracts.
Provides resiliency, health monitoring, and fault tolerance utilities for NVIDIA GPU-accelerated distributed applications, including process management and API key handling.
Develop, test, sign, and publish governance plugins for Memoria using Rhai or gRPC runtimes. Manage the full plugin lifecycle from scaffolding to activation.