Plugins
9 plugins@atc-net
Common
Common base skills including documentation generators, implementation planning, and utility tools
7 skills · plugin
curated
Experimentation Pipeline
From hypothesis to impact reporting, this pack enables rigorous experimentation and evidence-based decisions.
4 skills · plugin
@dataroaring
Dataroaring Skills
A writing coach for technical articles based on 'Writing for Developers' by Piotr Sarna & Cynthia Dunlop
3 skills · plugin
curated
User Segmentation Analysis
Install this pack to analyze diverse user feedback and identify at least 3 distinct behavioral and needs-based user segments.
4 skills · plugin
curated
Build Gemini Live API App
Build real-time, bidirectional streaming applications with the Gemini Live API, covering WebSocket-based audio/video/text streaming and function calling.
4 skills · plugin
@trailofbits
Building Secure Contracts
Comprehensive smart contract security toolkit based on Trail of Bits' Building Secure Contracts framework. Includes vulnerability scanners for 6 blockchains and 5 development guideline assistants.
11 skills · plugin
@minimax-ai
Pptx Plugin
PowerPoint generation and editing plugin with text-only QA (no vision required). Uses subagents for cover, TOC, content, section dividers, summary slides, and template-based PPT editing workflows.
5 skills · plugin
@samyakjhaveri
Sam Superpowers
Fork of obra/superpowers 5.0.7: the 14 core skills (TDD, debugging, collaboration patterns) with the mandatory-gate SessionStart injection replaced by a short judgment-based router. Skills are tools, not gates.
14 skills · plugin
@alirezarezvani
Agenthub
Multi-agent collaboration — spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any task that benefits from diverse solutions. 7 slash commands (/hub:init, /hub:spawn, /hub:status, /hub:eval, /hub:merge, /hub:board, /hub:run), agent templates, DAG-based orchestration, LLM judge mode, message board coordination.
8 skills · plugin
Results for “base”
24 skills
tools-only 164 Aeon 39ccf444
Predict continuous values from temporal sequences using aeon's time series regressors, covering convolutional, deep learning, distance-based, feature-based, hybrid, interval-based, and shapelet-based approaches.
7 · bundle
mukul975 Detecting Anomalies In Industrial Control Systems
Deploys anomaly detection for industrial control environments using machine learning models trained on OT network baselines, physics-based process models, and behavioral analysis of industrial protocol communications.
24.6k · bundle
nvidia Nemo Mbridge Recipe Recommender
Indexes Megatron Bridge recipes and recommends the best starting config based on model, GPU count, and training goal.
2.2k · bundle
lingxling Cobrapy
Performs constraint-based metabolic modeling with COBRApy: FBA, FVA, gene knockouts, flux sampling, and SBML model handling for systems biology and metabolic engineering.
253 · bundle
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
nvidia Tao Train Image Classification
Train, evaluate, distill, quantize, export, and run inference for PyTorch-based TAO image classification models with support for multiple backbones.
2.2k · bundle
More results
qhjqhj00 Art Eval
Benchmarks medical AI agents on synthetic EHR tasks, measuring success rates for data retrieval, temporal aggregation, and threshold-based conditional logic with exact-match scoring.
3
nvidia Tao Train Optical Inspection
Trains, evaluates, exports, and runs inference for Siamese-network-based optical inspection models to detect manufacturing defects and quality issues in image pairs.
2.2k · bundle
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
nvidia Tao Train Dino
Train, evaluate, export, distill, quantize, or run inference for a TAO DINO 2D object detector using transformer-based detection with denoising training and multi-scale features.
2.2k · bundle
qhjqhj00 Menli
Evaluates the robustness and alignment with human judgment of reference-based and reference-free evaluation metrics for machine translation and summarization, particularly under adversarial conditions.
3
affaan-m Ml Adoption Playbook
Provides an adaptive methodology for adding machine learning models to existing codebases, covering problem framing, data readiness, architectural decoupling, and baseline model integration.
226k
qhjqhj00 Abc Eval
Benchmarks large language models on symbolic music understanding and instruction following using text-based ABC notation, covering syntax parsing, error detection, segment-level reasoning, and sequence-level musical analysis.
3
nvidia Tao Train Ocrnet
Trains, evaluates, exports, prunes, quantizes, retrains, and runs inference for TAO OCRNet models for scene text recognition from cropped text-region images, supporting CTC and attention-based decoders.
2.2k · bundle
k-dense-ai Stable Baselines3
Train reinforcement learning agents using PPO, SAC, DQN, TD3, DDPG, and A2C algorithms with a scikit-learn-like API. Supports custom Gymnasium environments, vectorized environments, callbacks, and model persistence.
30.2k · bundle
nvidia Jetson Inference Mem Tune
Recommends an inference runtime and memory-related launch flags for LLM/VLM workloads on NVIDIA Jetson devices, based on a live memory audit snapshot.
2.2k · bundle
qhjqhj00 Bbh Eval
Benchmarks zero-shot in-context learning on BIG-Bench Hard multiple-choice tasks, comparing self-generated demonstrations against direct prompting and chain-of-thought baselines, and reports accuracy.
3
qhjqhj00 Bis Eval
Benchmarks energy-function-based safe control algorithms on the BIS (Benchmark of Interactive Safety) dataset, scoring safety, efficiency, and hybrid performance in human-robot and robot co-working scenarios.
3
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
luokai0 Cda
Provides domain knowledge on the Causal Dynamics Architecture (CDA), an alternative AI computing architecture based on causal graphs and Hamiltonian dynamics, with references for deep dives.
10 · bundle
qhjqhj00 Bss Eval
Evaluates speech language models on beyond-semantic speech attributes such as dialect comprehension, multi-turn context memory, emotion perception, age-aware response generation, and non-verbal cue handling, reporting accuracy and judge-based scores.
3
nvidia Tao Run Deft Aoi
Automates the full DEFT AOI improvement loop for NVIDIA TAO VisualChangeNet / ChangeNet PCB inspection models, including baseline evaluation, RCA, synthetic defect generation, data mining, retraining, and deployment gating until KPI targets are met.
2.2k · bundle
orchestra-research Pytorch Fsdp2
Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with DeviceMesh.
10.4k · bundle
huggingface 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.
10.8k