Total 31,277 skills, Backend Development has 3059 skills
Showing 12 of 3059 skills
Guide feature development with architecture patterns for any tech stack. Covers frontend, backend, full-stack, and automation projects. Use when adding new features, modifying systems, or planning changes.
Create Galaxy REST API endpoints with FastAPI routers, Pydantic schemas, and manager pattern. Use for: new API routes, FastAPI endpoints, REST resources, Pydantic request/response models, lib/galaxy/webapps/galaxy/api routers, lib/galaxy/schema definitions, API controller creation.
Automate Drupal module updates in DDEV environments with safety snapshots, composer update, drush updb, config export, and changelog generation. Handles security updates, patch versions, minor versions, and major version upgrades with compatibility checking. Use when updating Drupal modules, checking for module updates, running composer update, upgrading dependencies, checking outdated packages, or when user mentions DDEV, drush, composer outdated, or module security updates.
Read, draft, and implement Telepact APIs.
Expert patterns for HubSpot CRM integration including OAuth authentication, CRM objects, associations, batch operations, webhooks, and custom objects. Covers Node.js and Python SDKs. Use when: hubspot, hubspot api, hubspot crm, hubspot integration, contacts api.
[AUTO-INVOKE] MUST be invoked BEFORE deploying contracts or writing deployment scripts (*.s.sol). Covers pre-flight checks, forge script commands, post-deployment validation, and verification. Trigger: any task involving forge script, contract deployment, or block explorer verification.
Integrate Uniswap swaps into applications. Use when user says "integrate swaps", "uniswap", "trading api", "add swap functionality", "build a swap frontend", "create a swap script", "smart contract swap integration", "use Universal Router", "Trading API", or mentions swapping tokens via Uniswap.
When designing distributed systems for scalability, reliability, and consistency. Covers CAP/PACELC theorems, consistency models (strong, eventual, causal), replication patterns (leader-follower, multi-leader, leaderless), partitioning strategies (hash, range, geographic), transaction patterns (saga, event sourcing, CQRS), resilience patterns (circuit breaker, bulkhead), service discovery, and caching strategies for building fault-tolerant distributed architectures.
Current Ethereum development tools, frameworks, libraries, RPCs, and block explorers. What actually works today for building on Ethereum. Includes tool discovery for AI agents — MCPs, abi.ninja, Foundry, Scaffold-ETH 2, Hardhat, and more. Use when setting up a dev environment, choosing tools, or when an agent needs to discover what's available.
The essential mental models for building onchain — focused on what LLMs get wrong and what humans need explained. "Nothing is automatic" and "incentives are everything" are the core messages. Use when your human is new to onchain development, when they're designing a system, or when they ask "how does this actually work?" Also use when YOU are designing a system — the state machine + incentive framework catches design mistakes before they become dead code.
End-to-end guide for AI agents — from a dApp idea to deployed production app. Fetch this FIRST, it routes you through all other skills.
Use when managing Maven dependencies, resolving dependency conflicts, configuring BOMs, or optimizing dependency trees in Java projects.