Plugins

10 plugins

Plan a sprint by estimating capacity, selecting stories, and identifying risks.

3 skills · plugin

Fine-Tune HF Model

Select, train, and upload a fine-tuned transformer model using Hugging Face tools.

5 skills · plugin

Sprint Planning Pipeline

Install this pack to plan a sprint by estimating capacity, selecting stories, and identifying risks.

3 skills · plugin

Go-to-Market Strategy

Define ICP, select beachhead segment, and build a complete GTM plan with channels and metrics.

8 skills · plugin

AI and ML skills for .NET: technology selection, LLM integration, agentic workflows, RAG pipelines, MCP, and classic ML with ML.NET.

5 skills · plugin

@brycewang-stanford

Twelve KDD-specific skills covering data-mining conference strategy across both submission cycles: track selection, sigconf submission, rebuttal, Resubmit handling, deployment evidence, and ACM proceedings publication, grounded in official KDD 2026 CFPs and OpenReview groups.

2 skills · plugin

@brycewang-stanford

Twelve-skill bundle covering the PNAS manuscript lifecycle: workflow router, scope/significance fit, submission-track selection (Direct vs Contributed), the ≤120-word Significance Statement, ≤250-word abstract, main-text writing with in-text Materials and Methods + classification, display items, statistics & reproducibility, data/code availability, numbered reference style, submission preflight, a

9 skills · plugin

@alirezarezvani

Enterprise / cross-functional Research Operations domain — the managed counterpart to the academic research/ domain. v2.9.0 ships 5 skills: orchestrator (context: fork) + clinical-research (study design: protocol synopsis + endpoint selection + sample-size/power for means/proportions/survival + phase-gate feasibility) + research-finance (R&D program budgeting with F&A split + burn/runway + capital

5 skills · plugin

@alirezarezvani

Compliance OS — meta-orchestrator for multi-framework compliance programs spanning 9 frameworks (ISO 27001, ISO 13485, ISO 42001, ISO 14971, EU AI Act, MDR 745, GDPR, SOC 2, FDA QSR). Framework selector, cross-framework control mapper, audit simulator, and consolidated evidence-pool generator (stdlib Python), plus 3 cs-* compliance agents and 3 /cs:* readiness commands.

9 skills · plugin

@brycewang-stanford

50 Brycewang Aer Skills

Nine-skill stack for top-5 economics manuscripts (AER / AER: Insights / AEJ): topic selection, modern causal identification (DiD / IV / RDD / SCM / Bartik), referee-anticipating robustness, Keith-Head-style introductions, AER booktabs tables, AEA Data and Code Availability deposits (openICPSR-ready), submission preflight, and R&R rebuttal letters. Ships Stata / R / Python templates and classic-AER

7 skills · plugin

Results for “select”

13 skills

Selects the right Gemma model for a task, recommends deployment tooling (Gradio, Transformers.js, Vertex AI, MLX), and applies optimizations like MTP and QAT.

Nemo Mbridge Perf Moe Long Context

Provides guidance for training Mixture-of-Experts models with long context windows, covering context parallelism sizing, selective recomputation, dispatcher choices, and practical patterns from recent experiments.

Technology Selection

Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI, Microsoft Agent Framework, GitHub Copilot SDK, ONNX Runtime, and OllamaSharp.

Earth2studio Install

Guides installing Earth2Studio via uv or pip, selecting model extras, and configuring environment variables.

085 Aeon 556c1766

Provides guidance on using the Aeon library for time series forecasting, covering model selection, implementation, and evaluation.

Implements machine learning models, embeddings, and AI-powered features with ethical considerations, including model selection, integration, and monitoring.

More results

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

Huggingface Best

Queries Hugging Face benchmark leaderboards to find the best AI models for a task, filters by device constraints, and returns a ranked comparison table with scores.

Huggingface Local Models

Search the Hugging Face Hub for llama.cpp-compatible GGUF models, select the right quantization, and run them locally with llama-cli or llama-server.

10.8k · bundle

orchestra-research

Ml Training Recipes

Provides battle-tested PyTorch training recipes for LLMs, vision, diffusion, and biomedical domains, covering training loops, optimizer selection, LR scheduling, mixed precision, and debugging.

10.4k · bundle

Agent Platform Eval Flywheel

Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology, including dataset creation, metric selection, failure analysis, and iterative improvement.

14.4k · bundle

Quantifies how sensitive a language model benchmark's reliability and ranking stability are to specific design choices, such as the selection of scenarios, subscenarios, examples, and few-shot prompts. Use when the user has predictions and gold and needs to compute DIoR.

Hf Cloud Sagemaker Deployment Planner

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.