Plugins
12 plugins@mukul975-2
Privacy Data Protection Skills
Privacy Data Protection Skills from mukul975/Privacy-Data-Protection-Skills.
100 skills · plugin
@snoodleboot-io
Prompticorn
Prompticorn from snoodleboot-io/prompticorn.
2 skills · plugin
@klotzkette
Produktrecht
Produkthaftung und Produktrecht: Produktsicherheit, GPSR, ProdHaftG, deliktische Produzentenhaftung, Right to Repair, Software-/OTA-Updates, digitale Produktlebenszyklen, Rückruf, Marktüberwachung und Launch-Review.
3 skills · plugin
curated
Planning & Product
PRDs, roadmaps, OKRs, discovery and product strategy.
23 skills · plugin
curated
Product Idea to PRD
For product managers to structure and validate a new product concept.
11 skills · plugin
@deanpeters
Product Manager Skills
Product Manager Skills from deanpeters/Product-Manager-Skills.
56 skills · plugin
@concertonotes
Praxis
Praxis from ConcertoNotes/codex-plugins.
7 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
@amplifthq
Presets
Presets from amplifthq/oh-my-dsh.
4 skills · plugin
@phuryn
Execution
Execution and product management skills: PRDs, OKRs, roadmaps, sprints, pre-mortems, stakeholder maps, user stories, prioritization frameworks, and more.
16 skills · plugin
curated
Prediction Market Arbitrage
Compare Polymarket probabilities with options-implied probabilities to find arbitrage opportunities.
4 skills · plugin
Results for “pr”
169 skills
schattenspiegel Numpyro Python
Write, debug, and test NumPyro probabilistic programs on JAX with correct shapes, PRNG keys, and inference choice.
0 · bundle
neuralblitz AI Ethics
Guides the implementation of ethical AI principles, including fairness auditing, bias mitigation, explainability, accountability, and privacy protection in machine learning systems.
1
majiayu000 Dpo
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.
567 · bundle
scoheart LLM Price Lookup
Look up and compare LLM API pricing across Models.dev, OpenRouter, and official provider pages, including token costs and aliases.
2 · bundle
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
majiayu000 Esm
Generates and analyzes proteins using ESM3 and ESM C language models, covering sequence generation, structure prediction, inverse folding, embeddings, and function conditioning with local or cloud-based Forge API inference.
567 · bundle
More results
nvidia Nemo Mbridge Resiliency
Configure fault tolerance, straggler detection, preemption, in-process restart, and re-run state machine for Megatron Bridge training jobs.
2.2k · bundle
nvidia Deepstream Profile Pipeline
Profile a DeepStream pipeline with Nsight Systems and derive its configs from the measurement.
2.2k · bundle
k-dense-ai Torchdrug
Build and train graph neural networks for drug discovery, protein modeling, and molecular science using PyTorch-native tools.
30.2k · bundle
k-dense-ai Pymc
Build, fit, validate, and compare Bayesian models using PyMC's modern API, including hierarchical models, MCMC sampling, variational inference, posterior predictive checks, and model comparison.
30.2k · bundle
nvidia Earth2studio Create Prognostic
Create Earth2Studio prognostic model wrappers that time-step weather forecasts forward, with triple-inheritance classes, tests, and documentation.
2.2k · bundle
orchestra-research Model Pruning
Compress large language models by 40-60% with minimal accuracy loss using one-shot pruning techniques like Wanda and SparseGPT, enabling faster inference and deployment on constrained hardware.
10.4k · bundle
neuralblitz Pytorch
Provides guidance on using PyTorch for deep learning, covering tensors, autograd, nn.Module, DataLoaders, and best practices.
1
neuralblitz Biophysics
Applies physical principles to model biological systems, including protein folding, membrane transport, molecular forces, and neural signaling.
1
dvcrn Dna
Analyzes raw genomic data (FASTQ/VCF) to generate non-medical wellness, longevity, and pharmacogenomic optimization protocols while keeping DNA processing local and private.
32
gabrielmoreira Gi Annotation
Predicts gene and transcript structure from a DNA sequence using the hosted Genomic Intelligence API, producing a report and JSON output.
17 · bundle
qhjqhj00 Distributed LLM Pretraining Torchtitan
Pretrains large language models at scale using PyTorch-native torchtitan with 4D parallelism, Float8, and distributed checkpointing.
3 · bundle
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
ichichuang Pytorch Fsdp
Provides expert guidance on PyTorch Fully Sharded Data Parallel (FSDP) training, covering parameter sharding, mixed precision, CPU offloading, and FSDP2.
0 · bundle
neuralblitz Llmops
Manages the lifecycle of large language models in production, covering model versioning, prompt management, inference optimization, and cost control.
1
leandrobenjaminl Time Series Analysis
Analiza series temporales: tendencia, estacionalidad y pronóstico con Prophet, statsmodels y ML, incluyendo descomposición, tests de estacionariedad y evaluación contra baselines.
0 · bundle
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
orchestra-research Distributed LLM Pretraining Torchtitan
Pretrains large language models from scratch using PyTorch-native distributed training with 4D parallelism (FSDP2, TP, PP, CP) and Float8 support on H100 GPUs.
10.4k · bundle
lingxling Pymoo
Solves single- and multi-objective optimization problems with NSGA-II/III, MOEA/D, and other evolutionary algorithms, including constraint handling, Pareto front analysis, and benchmark problems.
253 · bundle
k-dense-ai Pymoo
Solve single and multi-objective optimization problems using NSGA-II/III, MOEA/D, and other evolutionary algorithms with customizable operators, constraint handling, and benchmark problems.
30.2k · 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
qhjqhj00 Vpeval
Evaluates text-to-image generation models by decomposing assessment into five specialized skills (object presence, count, spatial relations, scale, and text rendering) and open-ended prompts, producing interpretable binary scores with visual and textual explanations.
3
qhjqhj00 Ray Data
Process large ML datasets in parallel across CPU or GPU clusters, with streaming execution, multi-format I/O, and integration with Ray Train, PyTorch, and TensorFlow for batch inference and preprocessing pipelines.
3 · bundle
antigravity Mathguard
Guides AI agents to apply advanced mathematical and probabilistic techniques (Bloom filters, HyperLogLog, FFT, etc.) for large-scale data problems where classical algorithms are optimal but math offers better asymptotic bounds.
42.4k
lingxling Rowan
Run cloud-native molecular modeling and drug-design workflows via a Python API, covering pKa prediction, docking, conformer and tautomer ensembles, molecular dynamics, and related small-molecule or protein tasks without local HPC infrastructure.
253 · bundle
lingxling Esm
Generates and analyzes protein sequences and structures using ESM3, ESMC, and ESMFold2, with support for local and cloud inference.
253 · bundle
samyakjhaveri Overnight Eval
Launches long-running evaluation batches in isolated tmux sessions with pre-flight verification, monitoring, and post-flight analysis for unattended runs.
0
comeonoliver Soul2dna
Compiles SOUL.md character profiles into synthetic diploid genomes by mapping trait scores to alleles at defined loci, producing .genome.json files.
61
phoroth Langfuse
Instrument LLM applications with Langfuse for tracing, prompt versioning, evaluation, and dataset management across Python and JavaScript SDKs.
3
lingxling Shap
Explains machine learning model predictions using SHAP values, covering feature importance, visualizations, debugging, bias analysis, and production deployment.
253 · bundle
samyakjhaveri Eval Run
Launches a model evaluation batch with parameter collection, pre-flight checks, execution, and post-run analysis for interactive or foreground runs.
0