DevOps & Infra

inference-sh Bundle

Run 250+ AI apps from the command line: generate images and videos, call LLMs, search the web, create 3D models, and automate Twitter posts.

inference-sh Skill

Build RAG pipelines that combine web search and LLMs for research, fact-checking, and grounded responses using the inference.sh CLI.

inference-sh Skill

Create explainer videos from script to final cut using AI tools for voiceover, visuals, and assembly.

inference-sh Skill

Build automated AI workflows combining multiple models and services for batch processing, scheduled tasks, event-driven pipelines, and agent loops using the inference.sh CLI.

muratcankoylan Bundle

Design and build hosted agent infrastructure with sandboxed execution, warm pools, session persistence, and multiplayer collaboration.

muratcankoylan Bundle

Convert books into supervised fine-tuning datasets and train style-transfer models that replicate an author's voice.

muratcankoylan Bundle

Guides project-level decisions for LLM-powered systems: task-model fit, pipeline architecture, token and cost estimation, and agent-assisted iteration.

orchestra-research Bundle

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow.

orchestra-research Bundle

Provides code examples and best practices for using Pinecone, a managed vector database for production RAG, recommendation, and semantic search applications.

orchestra-research Bundle

Run ML workloads on Modal's serverless GPU cloud platform with auto-scaling, pay-per-second pricing, and Python-native infrastructure.

orchestra-research Bundle

Trace, evaluate, and monitor LLM applications with an open-source observability platform.

orchestra-research Bundle

Train large language models (7B-70B+) with RLHF using PPO, GRPO, DPO, and other algorithms, accelerated by Ray and vLLM for distributed multi-GPU setups.

orchestra-research Bundle

Debug, evaluate, and monitor LLM applications with tracing, datasets, and built-in evaluators.

orchestra-research Bundle

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.

orchestra-research Bundle

Manage and use Lambda Labs GPU cloud instances for ML training and inference with SSH access, persistent filesystems, and multi-node clusters.

orchestra-research Skill

Deploy Meta's LlamaGuard moderation model to filter LLM inputs and outputs across 6 safety categories using HuggingFace, vLLM, or FastAPI.

orchestra-research Skill

Detect prompt injections and jailbreak attempts in LLM applications using Meta's 86M parameter classifier. Filter user inputs, third-party data, and RAG documents with low latency and multilingual support.

orchestra-research Bundle

Trains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies for maximum GPU efficiency.

higgsfield-ai Bundle

Build, edit, and deploy full-stack websites or web apps using the Higgsfield CLI, with two distinct product types: standalone websites or Higgsfield-integrated apps.

memodb-io Bundle

Install and configure Acontext, a memory layer for AI agents that provides persistent sessions, file storage, and skill management.

czlonkowski Bundle

Deploy a production self-hosted n8n instance on a fresh Linux VM over SSH, using Docker Compose behind a Caddy reverse proxy with automatic HTTPS.

czlonkowski Bundle

Provides expert guidance for using n8n-mcp MCP server tools to build, validate, and manage n8n workflows efficiently.

czlonkowski Bundle

Interpret n8n validation errors and warnings, guide iterative fixes, and explain validation profiles, error types, and auto-sanitization.

czlonkowski Bundle

Provides proven architectural patterns for building n8n workflows, covering webhook processing, HTTP API integration, database operations, AI agent workflows, batch processing, and scheduled tasks.

czlonkowski Bundle

Guides configuration of n8n nodes with operation-aware field requirements, property dependencies, and progressive discovery patterns.

tradermonty Bundle

Reviews trading strategy drafts for edge plausibility, overfitting risk, sample size adequacy, and execution realism, outputting PASS/REVISE/REJECT verdicts with confidence scores.

tradermonty Bundle

Review AI agent skills using a dual-axis method: deterministic code-based checks and LLM deep review, with weighted scoring and improvement recommendations.

tradermonty Bundle

Validate multi-skill workflows by checking skill existence, inter-skill data contracts, JSON schema compatibility, file naming conventions, and handoff integrity.

tradermonty Bundle

Coordinate multi-stage edge research pipelines from candidate detection through strategy design, review, revision, and export.

google Bundle

Provides guidance on enabling and optimizing GKE Cluster Autoscaler, including Node Auto Provisioning, troubleshooting scale-up/down issues, and best practices for capacity management.

huggingface Bundle

Sets up an isolated Python environment for SageMaker and AWS work, pinning Python version and installing current boto3/awscli to avoid dependency conflicts and stale SDKs.

huggingface Skill

Reads the local AWS configuration to determine the active profile, region, account ID, and caller identity before any AWS task, avoiding guesswork and preventing common deployment errors.

huggingface Skill

Plans and coordinates the deployment of a model to Amazon SageMaker AI, selecting the appropriate pathway (real-time, serverless, async, batch, or Bedrock CMI) based on model type, traffic, latency, and cost constraints.

huggingface Bundle

Creates SageMaker endpoints (real-time or async) with autoscaling, CloudWatch alarms, and tagging enabled by default, then smoke-tests them before declaring success.

antigravity Bundle

Provides a comprehensive reference and usage guide for the rclone command-line cloud storage manager, covering configuration, core commands, filtering, and safety practices.

antigravity Skill

Orchestrates Gemini 3 Flash to audit Linux Kernel patches for memory safety, detect cost drifts in Terraform plans, and generate hardened Kubernetes security contexts.