tanstack-integration-best-practices
Integration patterns and best practices for TanStack Query, Router, and Start. Ensures type-safe data flow, efficient SSR, and unified caching.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
501 skills found
Integration patterns and best practices for TanStack Query, Router, and Start. Ensures type-safe data flow, efficient SSR, and unified caching.
Transcribe audio files directly into text using the OpenAI Whisper API within OpenClaw.
Automated code maintenance loop using Trunk to perform linting, formatting, and iterative error resolution.
Streamline technical documentation by generating, updating, and refining README files. Tailors content for specific audiences including OSS contributors, internal teams, and personal projects.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
Fetch real-time financial signals, transmission-chain reasoning, and market confidence metrics directly from the DeepEar Lite platform.
Analyze, validate, and generate Schema.org structured data (JSON-LD). Detect markup, identify opportunities, and ensure compliance with Google's rich result guidelines.
Discover and configure Redpanda Connect components like inputs, outputs, and processors to build efficient streaming data pipelines.
Comprehensive security audit and hardening for AI agents: credential scanning, PII protection, prompt injection defense, and workspace config optimization.
Ensures adherence to standardized global documentation patterns for technical projects, maintaining consistency across repositories and agent-based workflows.
Production-ready Go development support: concurrency patterns, idiomatic error handling, interface design, testing with testify, and Go best practices for scalable backend services.
Enhance fuzzer effectiveness by providing domain-specific tokens, magic bytes, and protocol-specific keywords to reach deep code paths.