Plugins
12 plugins@deanpeters
Product Manager Skills
Product Manager Skills from deanpeters/Product-Manager-Skills.
56 skills · plugin
@auto-skiller
Content Production
Content Production from Auto-Skiller/plugboot.
2 skills · plugin
curated
Product Idea to PRD
For product managers to structure and validate a new product concept.
11 skills · plugin
curated
Planning & Product
PRDs, roadmaps, OKRs, discovery and product strategy.
23 skills · plugin
@alirezarezvani
Product Team
13 product skills with 17 Python tools: product manager toolkit (RICE, PRDs), agile product owner, product strategist, UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, product analytics, experiment designer, product discovery, roadmap communicator, code-to-prd, research summarizer, apple-hig-expert.
10 skills · plugin
curated
Launch on Product Hunt
Launch a product on Product Hunt by researching, preparing assets, and executing the launch playbook.
3 skills · plugin
curated
Product Strategy Canvas Pack
For product managers and strategists to define, analyze, and refine product strategy using complementary canvas frameworks.
3 skills · plugin
@phuryn
Product Discovery
Product discovery skills for PMs: ideation, experiments, assumption testing, feature prioritization, and customer interview synthesis.
13 skills · plugin
curated
Create Product Strategy
Create a product strategy by analyzing market, defining vision, and generating a strategic plan.
3 skills · plugin
curated
Product Launch Campaign
Launch a new product with a multi-channel campaign from strategy to asset creation.
7 skills · plugin
curated
Product Photography for E-commerce
Generate professional product images for e-commerce listings from shoot to final assets.
3 skills · plugin
curated
Product Strategy Pipeline
From market analysis to north star metric, this pack builds a complete product strategy foundation.
4 skills · plugin
Results for “product”
18 skills
neuralblitz Tensorflow
Build and deploy machine learning models with TensorFlow, covering Keras, data pipelines, and production serving.
1
orchestra-research Mlflow
Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow.
10.4k · bundle
lingxling Shap
Explains machine learning model predictions using SHAP values, covering feature importance, visualizations, debugging, bias analysis, and production deployment.
253 · bundle
oyi77 LLM Deployment
Deploy and serve LLMs in production with vLLM, Ollama, TGI, and llama.cpp, including quantization and GPU optimization.
10
jorcan LLM Ops
Guides production LLM operations: RAG pipelines, embeddings, vector databases, fine-tuning, prompt engineering, cost estimation, quality evals, and AI architectures.
0 · bundle
mhassan0000 Mle Workflow
Turns model work into a production ML system with data contracts, reproducible training, quality gates, deployable artifacts, and monitoring.
1
More results
qhjqhj00 Shap
Explains machine learning model predictions using SHAP values, covering feature importance, visualization plots, model debugging, bias analysis, and production deployment.
3 · bundle
antigravity Ml Engineer
Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks, including model serving, feature engineering, A/B testing, and monitoring.
42.4k
neuralblitz Llmops
Manages the lifecycle of large language models in production, covering model versioning, prompt management, inference optimization, and cost control.
1
affaan-m Mle Workflow
Turn model work into a production ML system with data contracts, repeatable training, measurable quality gates, deployable artifacts, and operational monitoring.
226k
antigravity Julia Pro
Provides expert guidance on modern Julia 1.10+ development, covering performance optimization, multiple dispatch, tooling, testing, and production-ready practices.
42.4k
sakamoto-family-smile Mle Workflow
Turn model work into a production ML system with data contracts, reproducible training, quality gates, deployable artifacts, and monitoring.
0
phoroth LLM Ops
Implements production LLM operations: RAG pipelines, embeddings, vector databases, fine-tuning, advanced prompt engineering, cost estimation, quality evals, semantic caching, streaming, and agents.
3
leandrobenjaminl Ml Modeling
Entrena modelos de machine learning con Scikit-learn, LightGBM y XGBoost, desde un baseline hasta un modelo productivo con validación robusta y explicabilidad.
0 · bundle
jeffallan Ml Pipeline
Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking, creates orchestration DAGs, builds feature store schemas, deploys model registries, and automates retraining and validation workflows.
10.4k · bundle
orchestra-research Model Merging
Merge multiple fine-tuned models using mergekit to combine capabilities without retraining, covering SLERP, TIES-Merging, DARE, Task Arithmetic, linear merging, and production deployment strategies.
10.4k · bundle
neuralblitz Cae
Performs finite element analysis, computational fluid dynamics, thermal analysis, modal analysis, and design optimization for validating designs against physical loads and predicting product behavior.
1
orchestra-research Serving Llms Vllm
Deploy and serve LLMs with high throughput using vLLM's PagedAttention and continuous batching. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism for production inference.
10.4k · bundle