Plugins

12 plugins

Run Competitive Analysis

Run a competitive analysis by researching competitors, analyzing their strategies, and producing actionable insights.

6 skills · plugin

Create Go-to-Market Strategy

Create a GTM strategy by analyzing market, defining positioning, and planning launch activities.

3 skills · plugin

Customer Discovery to Persona

Plan and conduct customer discovery interviews, summarize findings, and synthesize into actionable user personas.

5 skills · plugin

Customer Insight to Positioning

From persona research to positioning workshop, this pack delivers actionable customer insights and positioning.

4 skills · plugin

@fivebucksventures

Multi-brand business operations agent — marketing, sales, customer success, finance, strategy, productivity for any active brand

38 skills · plugin

Agent Interview and Planning

For developers who want to clarify project requirements through structured interviews and generate actionable plans.

9 skills · plugin

Secure Google Cloud Workload

Assesses security requirements, identifies risks, and provides actionable recommendations for IAM, network, and data protection.

4 skills · plugin

Robotik-Recht Deutschland/EU: Maschinenverordnung, KI-VO, Produkthaftung, ProdSG, Datenschutz, CRA, Data Act, CE, Marktüberwachung, Unfälle, Rückruf, Verträge und Robotik-Testakte.

2 skills · plugin

User Persona from Research

Install this pack to create detailed, actionable user personas from research data with jobs-to-be-done and behavioral insights.

5 skills · plugin

AI Disruption Assessment

Install this pack to analyze AI disruption pressure across a business, map competitive exposure, and produce a 90-day defensive action plan.

5 skills · plugin

Simulator.Company platform assistant. Exposes the Simulator REST API as an MCP server and provides skills for managing actors, forms, graph structures, and financial accounts.

19 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

Results for “act”

18 skills

Tao Train Action Recognition

Train, evaluate, export, and run inference on TAO action-recognition models for classifying temporal actions in video clips using RGB, optical flow, or joint input.

Predicts enhancer activity in DNA sequences using the hosted Genomic Intelligence G0 DeepSTARR model, returning per-window activity scores.

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

Classifies situations into 256 binary states and maps each to a prescribed action, reporting the pattern, decimal, name, range, and action to execute.

orchestra-research

Pyvene Interventions

Perform causal interventions on PyTorch models using pyvene's declarative framework for causal tracing, activation patching, and interchange intervention training.

10.4k · bundle

Nemo Mbridge Perf Cpu Offloading

Configure and validate CPU offloading for Megatron Bridge training, including activation offloading and optimizer state offloading with HybridDeviceOptimizer.

More results

Nemo Mbridge Perf Memory Tuning

Reduces peak GPU memory in Megatron Bridge training by applying expandable segments, parallelism resizing, activation recompute, and CPU offloading constraints.

Scales Python ML workloads across clusters using Ray's distributed tasks, actors, data, and serving capabilities.

Tao Train Pose Classification

Train, evaluate, export, and run inference for pose classification models using ST-GCN on skeleton keypoint sequences.

orchestra-research

Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace, covering architectures, routing, load balancing, and expert parallelism.

10.4k · bundle

orchestra-research

Nnsight Remote Interpretability

Run interpretability experiments on neural network internals using nnsight, with optional NDIF remote execution for massive models.

10.4k · bundle

Awq Quantization

Quantize large language models to 4-bit precision using activation-aware weight quantization, reducing memory footprint and speeding up inference with minimal accuracy loss.

orchestra-research

Sparse Autoencoder Training

Train and analyze Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features for mechanistic interpretability research.

10.4k · bundle

orchestra-research

Awq Quantization

Quantize large language models to 4-bit using activation-aware weight quantization, achieving ~3x speedup with minimal accuracy loss for deployment on limited GPU memory.

10.4k · bundle

Detecting Data And Model Poisoning

Detect poisoned training data and backdoored models across the ML pipeline using statistical analysis, activation clustering, and spectral signatures.

24.6k · bundle

Sparse Autoencoder Training

Trains and analyzes Sparse Autoencoders (SAEs) with SAELens to decompose neural network activations into interpretable features, covering loading pre-trained SAEs, training custom ones, and feature steering.

Tao Analyze Changenet Rca

Performs deep root cause analysis on NVIDIA TAO Visual ChangeNet classification experiments, using image-evidence-driven investigation to diagnose model failures and produce actionable reports.

Evaluates the correlation between a zero-cost NAS metric (epsilon) and actual training accuracy across different neural architecture search spaces, testing the metric's ability to rank architectures without training. It probes whether output dispersion from constant weight initializations can serve as a reliable.