Packs

7 packs

Paid Ad Campaign Setup

Analyze competitor ads, design ad creative, and set up campaigns on Google/Meta/LinkedIn.

13 skills · pack

Skills for .NET MAUI development: environment setup, diagnostics, troubleshooting, navigation, data binding, dependency injection, layout, and theming.

8 skills · pack

Create AGENTS.md

Generate a comprehensive AGENTS.md file for AI coding agents with project context and setup commands.

10 skills · pack

Portable core of Sam's Claude Code setup: native pre-commit hook enforcement (sentinel gate retired 2026-08-14), on-demand /validate, generic review agents, cross-model Codex review skills, and a /bootstrap-cc-setup skill that writes the always-loaded rules layer plugins cannot ship. For repos NOT bootstrapped by the Loam Copier template - a Loam-rendered project already carries most of this in .c

6 skills · pack

E2E Test Setup with Playwright

Set up an end-to-end test suite with Playwright, including real flows, layered assertions, and CI integration.

10 skills · pack

@alirezarezvani

Email-workflow skill pair: inbox-setup builds your taxonomy/KB; inbox-triage classifies + drafts (drafts-only, never auto-send). KB-file contract between them. Path-B from megaprompts 06+07.

2 skills · pack

@pwdev-solucoes

Integração com YouTrack Cloud v1.0 — MCP oficial embutido (2025.3+) para issues, busca com query language, comentários, artigos e log de trabalho; fallback REST para agile boards, sprints, relatórios de tempo e anexos; 2 skills, 4 comandos, setup guiado com token no Keychain

2 skills · pack

Results for “setup”

8 skills

airunway-aks-setup

Walks users from a bare AKS cluster to a running AI model deployment, covering cluster verification, controller install, GPU assessment, provider setup, and first deployment.

orchestra-research

openrlhf-training

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.

10.4k · bundle

Trains language models with Direct Preference Optimization using preference pairs, covering DPOTrainer setup, dataset preparation, and beta tuning for stable preference learning without explicit reward models.

More results

agent-platform-tuning

Fine-tune open models or Gemini models using Agent Platform infrastructure, from environment setup through data preparation, job configuration, monitoring, and deployment.

14.4k · bundle

Runs the open-source LLaVA vision-language model for image understanding, captioning, visual question answering, and multi-turn image conversations, including setup, inference, and training guidance.

nemo-mbridge-multi-node-slurm

Convert single-node PyTorch distributed scripts into multi-node Slurm sbatch jobs and debug common multi-node failures, covering srun-native and torch.distributed approaches, container setup, NCCL timeouts, and interactive allocation.

orchestra-research

fine-tuning-openvla-oft

Fine-tunes and evaluates OpenVLA-OFT and OpenVLA-OFT+ policies for robot action generation with continuous action heads, LoRA adaptation, and FiLM conditioning on LIBERO simulation and ALOHA real-world setups.

10.4k · bundle

mcore-run-on-slurm

Launch distributed Megatron-LM training jobs on a SLURM cluster with a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules, container conventions, monitoring, and per-rank failure diagnosis.