Investment Banking Bundle | Prompeteer.ai
Pitch books, valuation models, comparable transactions, fairness opinions, and deal-process management for investment banking analysts and associates.
Included Skills (59)
- Brev GPU Orchestrator — This tool enables developers to manage NVIDIA TAO training and inference workloads by automating GPU instance deployment and job execution via the Brev CLI.
- Distributed Data Loader — This skill enables developers to efficiently load complex, sharded datasets into distributed cuPyNumeric ndarrays when standard built-in loaders are insufficient for custom layouts.
- NeMo Distributed Trainer — This guide assists developers in configuring and optimizing distributed training strategies within NeMo AutoModel to ensure efficient multi-GPU and multi-node model performance.
- NeMo Recipe Developer — This tool assists developers in creating and refining NeMo AutoModel training and evaluation recipes through structured YAML configuration and validation.
- Video Calibration Automator — This tool executes AutoMagicCalib on various video inputs and manages microservice deployment to assist engineers in streamlining video search and summarization workflows.
- Olympiad Math Solver — Solves challenging competition math problems (IMO, Putnam, USAMO, AIME) using adversarial verification to catch errors and provide calibrated confidence.
- Megatron Recipe Recommender — This tool helps developers select and customize optimal Megatron Bridge training configurations based on model specifications, hardware constraints, and specific training objectives.
- CuOpt Development Assistant — This skill assists developers in modifying, building, and testing the NVIDIA cuOpt codebase while adhering to established project conventions and workflows.
- Adversarial Decision Reviewer — This skill subjects non-trivial technical decisions to rigorous adversarial cross-examination, helping developers ensure correctness and mitigate risks in high-stakes coding environments.
- Production Observability Instrumentation — This skill helps developers integrate logging, metrics, and tracing into their code to ensure production systems remain fully transparent and easily diagnosable.
- Task Decomposition Planner — This tool helps developers decompose complex projects into structured, verifiable tasks to improve implementation reliability and streamline workflow management for large-scale coding initiatives.
- MCPB Package Builder — This skill packages a local MCP server with its runtime, creating a single installable file for distribution to users without Node/Python.
- Nemotron Pipeline Orchestrator — This tool enables developers to plan, configure, and execute end-to-end Nemotron customization workflows, including training, optimization, and evaluation pipelines.
- Audio Transcriber — Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration
- AI Presentation Generator — This skill generates complete presentations, from outlines to polished slides, assisting users in creating compelling visual content.
- AI Health Analyzer — This skill provides AI-driven health analysis, risk prediction, and personalized recommendations based on multi-dimensional health data for users seeking health insights.
- Amplitude Task Automation — Automate Amplitude product analytics tasks, including event tracking and user data management, using the Rube MCP toolkit.
- Demand Acquisition Strategist — This tool helps B2B SaaS marketing teams scale international growth by optimizing multi-channel paid advertising, SEO strategies, and lead generation pipelines.
- PhysicsNeMo Navigator — This tool helps researchers and developers navigate the PhysicsNeMo repository by identifying relevant models, datapipes, and examples for specific SciML and AI4Science tasks.
- Agent Evaluation Tool — This skill tests and benchmarks LLM agents, providing capability assessment and reliability metrics for developers and researchers.
- Advanced Evaluation — This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.
- Scikit-Learn ML Assistant — This skill provides expert guidance for data scientists and developers implementing machine learning workflows, including model training, evaluation, and pipeline construction using scikit-learn.
- Forensic Disk Imager — This tool assists digital forensic investigators in creating verified bit-for-bit disk images using dd and dcfldd to ensure evidence integrity.
- GCP Security Hardening — This skill helps DevOps engineers and security architects apply Google Cloud's Well-Architected Framework for security hardening and compliance evaluations.
- Holoscan Installation Orchestrator — This tool automates Holoscan SDK deployment by analyzing host environments and selecting the optimal installation method for developers and system engineers.
- Megatron-LM Slurm Orchestrator — This guide assists AI engineers in configuring and launching distributed Megatron-LM training jobs on SLURM clusters with optimized environment and network settings.
- Autonomous RL Researcher — This agent automates iterative NeMo-RL experiment lifecycles, helping researchers conduct hypothesis testing, launch reproducible training runs, and track results within a git-based ledger.
- Behavior Analytics Deployer — This tool enables developers to independently deploy and configure the behavior-analytics service within the NVIDIA Video Search and Summarization framework.
- Jetson Environment Optimizer — This tool helps developers select Jetson-compatible containers and Python packages to ensure optimal performance and compatibility with specific JetPack versions and GPU architectures.
- AI Safety Guardrails — Implement safety guardrails for AI systems, including content filtering and prompt injection detection, to ensure responsible AI practices.
- Time Series Analyst — This skill provides specialized machine learning algorithms for time series analysis, helping data scientists perform classification, forecasting, and anomaly detection on temporal datasets.
- Gene Regulatory Network Inference — This tool enables bioinformaticians to infer gene regulatory networks from transcriptomics data using scalable tree-based ensemble regression algorithms for large-scale datasets.
- Astropy Analysis Assistant — This tool assists astronomers and researchers in performing complex data analysis, coordinate transformations, and FITS file operations using the core Astropy Python library.
- Quantum Circuit Developer — This skill enables developers to design, simulate, and optimize NISQ quantum circuits specifically for Google Quantum AI hardware and various partner backends.
- Distributed Computing Engine — This tool enables data scientists and engineers to scale memory-intensive pandas and NumPy workflows across multi-core machines or distributed computing clusters.
- Public Database Retriever — This tool enables developers and researchers to perform reproducible, verifiable data lookups across authoritative public APIs with full provenance and auditability.
- Cheminformatics Workflow Assistant — This tool provides a Pythonic interface for molecular operations, helping drug discovery researchers simplify RDKit tasks through efficient parallelization and sensible defaults.
- Genomic Interval Learning — This tool enables bioinformaticians and researchers to build machine learning models on genomic interval data for region embeddings, single-cell analysis, and feature learning.
- Computational Resource Auditor — This tool assesses system hardware capabilities to provide strategic optimization recommendations for developers performing intensive scientific computing and large-scale data processing tasks.
- Metabolomics Spectral Analyzer — This tool enables researchers to process mass spectrometry data, compute spectral similarity scores, and identify unknown compounds within metabolomics analytical workflows.
- Matplotlib Visualization Expert — This skill assists developers in creating highly customized, publication-quality static and interactive plots using Matplotlib's object-oriented API and pyplot interface.
- Molecular Filtering Assistant — This tool enables medicinal chemists to efficiently triage compound libraries by applying standardized drug-likeness rules, structural alerts, and molecular complexity metrics.
- Opentrons Protocol Generator — This skill enables laboratory researchers to automate liquid handling workflows by generating Python-based protocols specifically designed for Opentrons OT-2 and Flex robotic systems.
- GPU Acceleration Expert — This tool helps developers transform CPU-bound Python workloads into high-performance NVIDIA GPU-accelerated applications using the RAPIDS ecosystem and CUDA-based libraries.
- Scientific Manuscript Reviewer — This tool provides structured, checklist-based evaluations for scientific manuscripts and grant proposals to help researchers deliver rigorous, constructive, and standards-compliant peer reviews.
- Polars Data Processor — This skill provides high-performance DataFrame manipulation and lazy evaluation capabilities to help data engineers and analysts optimize complex ETL and analytics pipelines.
- Reinforcement Learning Accelerator — This high-performance framework enables researchers and developers to achieve rapid parallel training and efficient simulation for complex single or multi-agent reinforcement learning environments.
- Medical Imaging Processor — This skill enables developers to read, write, and manipulate medical DICOM files, facilitating efficient processing of clinical imaging data for research and healthcare applications.
- Quantum Circuit Framework — This framework enables developers to build, optimize, and execute quantum circuits across various hardware platforms, streamlining enterprise-grade quantum computing and algorithm development.
- Scholarly Research Evaluator — This tool provides systematic, structured assessments of academic papers and research proposals to help researchers and students improve their scholarly work quality.
- Scientific Publication Visualizer — This skill assists researchers in generating high-quality, journal-compliant figures featuring multi-panel layouts, statistical annotations, and accessible color palettes for scientific manuscripts.
- Survival Analysis Toolkit — This toolkit enables data scientists to perform time-to-event modeling and analyze censored data using the scikit-survival library for robust predictive survival analysis.
- Statistical Visualization Assistant — This tool enables data scientists to generate publication-quality statistical graphics and complex multi-panel figures efficiently using the Seaborn library and pandas integration.
- Reinforcement Learning Agent — This skill provides reliable PyTorch-based reinforcement learning algorithms to help developers build, train, and optimize agents within Gymnasium environments efficiently.
- Statistical Modeling Assistant — This tool provides rigorous statistical estimation, inference, and diagnostic capabilities for data scientists and researchers performing complex econometric or time series analysis.
- Big Data Processor — This skill enables data scientists to process and visualize massive tabular datasets exceeding RAM capacity using high-performance, out-of-core lazy evaluation techniques.
- Campaign Attribution Analyst — This tool assists cybersecurity professionals in systematically evaluating evidence to determine threat actor responsibility using structured frameworks like the Diamond Model and ACH.
- Threat Actor Analyst — This tool helps cybersecurity professionals map threat actor behaviors to the MITRE ATT&CK framework to identify detection gaps and generate actionable intelligence reports.
- Accessibility Audit Tool — This skill scans, fixes, and verifies WCAG 2.2 Level A/AA compliance in web codebases, aiding developers and compliance teams.