Plugins
6 pluginscurated
Full-Stack Backend Platforms
For developers building backends with Convex, Firebase, or Django, covering schema design, real-time features, and deployment.
10 skills · plugin
curated
Backend Framework Patterns
For developers building production-grade backends with NestJS, Spring Boot, or Ktor, covering architecture patterns and best practices.
7 skills · plugin
curated
FP-TS Backend Toolkit
For Node.js/Deno developers building type-safe backends with fp-ts, covering async pipelines and service composition.
3 skills · plugin
curated
Secure Firebase Backend
Installs a pipeline to validate, plan, execute, and enforce Firebase security best practices.
7 skills · plugin
curated
Build RAG Pipeline with Pinecone
Build a production RAG pipeline and persistent agent memory using Pinecone as the vector database backend.
6 skills · plugin
@alirezarezvani
Engineering Team
32 engineering skills: architecture, frontend, backend, fullstack, QA, DevOps, security, AI/ML, data engineering, Playwright (9 sub-skills), self-improving agent, Stripe integration, TDD guide, tech stack evaluator, Google Workspace CLI, a11y audit (WCAG 2.2), Azure cloud architect, GCP cloud architect, security pen testing, Snowflake development, adversarial-reviewer, ai-security, cloud-security,
16 skills · plugin
Results for “backend”
11 skills
qhjqhj00 Hqq Quantization
Quantize LLMs to 8/4/3/2/1-bit precision without calibration data, using multiple backends and HuggingFace/vLLM integration.
3 · bundle
k-dense-ai Cirq
Design, simulate, and run quantum circuits on Google Quantum AI hardware and partner backends using Cirq.
30.2k · bundle
huggingface Huggingface Community Evals
Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware, with backend selection between vLLM, Transformers, and accelerate.
10.8k · bundle
qhjqhj00 Runtime
Benchmarks inference latency and computational runtime of transformer models and MLX operations across Apple Silicon and NVIDIA GPU backends, with configurable input lengths and batch sizes.
3
orchestra-research Evaluating Llms Harness
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag) using standardized prompts and metrics. Supports HuggingFace, vLLM, and API backends.
10.4k · bundle
More results
majiayu000 Hqq Quantization
Quantize large language models to 8/4/3/2/1-bit precision without calibration data, using multiple optimized backends and integrations with HuggingFace Transformers, vLLM, and PEFT/LoRA.
567 · bundle
nvidia Nemo Mbridge Perf Moe Comm Overlap
Optimizes MoE expert-parallel communication overlap in Megatron Bridge, covering dispatch/combine overlap, flex dispatcher backends, and expert wgrad scheduling.
2.2k · bundle
orchestra-research Hqq Quantization
Quantize large language models to 8/4/3/2/1-bit precision without calibration data, using multiple optimized backends for deployment with vLLM or HuggingFace Transformers.
10.4k · bundle
orchestra-research Verl Rl Training
Train LLMs with reinforcement learning using verl (Volcano Engine RL), supporting RLHF, GRPO, PPO, and other algorithms for scalable post-training with flexible infrastructure backends.
10.4k · bundle
orchestra-research Nemo Evaluator Sdk
Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution on local Docker, Slurm HPC, or cloud platforms.
10.4k · bundle
orchestra-research Fine Tuning Serving Openpi
Fine-tune and serve Physical Intelligence OpenPI models (pi0, pi0-fast, pi0.5) using JAX or PyTorch backends for robot policy inference across ALOHA, DROID, and LIBERO environments.
10.4k · bundle