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OpenCoven

Official

@opencoven · United States of America

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39Public Repos
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144Published Skills

Workspace for building with agents.

Skills Distribution
DomainDeveloper To...Agentic Research &.. (35%)Infrastructure & C.. (25%)UI/UX & Frontend E.. (20%)Software Lifecycle.. (20%)

Agent Skills by OpenCoven

Showing 144 vetted skills indexed across 1 GitHub repositories.

OpenCovenOpenCoven
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mlflow

Track experiments, version models, and deploy MLflow models.

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Advanced
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ml-training-recipes

Provide PyTorch training recipes for neural network optimization.

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ray-data

Process large-scale machine learning datasets with distributed Ray Data execution.

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weights-and-biases

Manage ML experiments, track metrics, and run hyperparameter sweeps via Weights & Biases.

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faiss

Perform vector similarity search using Facebook's FAISS library.

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Advanced
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sentence-transformers

Generate sentence embeddings for semantic similarity, clustering, and retrieval tasks.

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ara-research-manager

Scan conversation history and log research decisions with provenance tags to an ARA directory.

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Advanced
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ara-compiler

Convert diverse research inputs into Agent-Native Research Artifacts with cognitive and physical layers.

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Advanced
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autoresearch

Automate research workflow management, literature review, and experiment tracking.

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evaluating-llms-harness

Evaluate large language models across 60+ academic benchmarks.

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Advanced
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evaluating-code-models

Evaluate code generation models across benchmarks using pass@k metrics.

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Advanced
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ara-rigor-reviewer

Score six research rigor dimensions and generate a severity-ranked report.

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Advanced
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creative-thinking-for-research

Generate novel CS and AI research directions using cognitive science frameworks.

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Advanced
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brainstorming-research-ideas

Apply structured ideation frameworks to explore and refine research directions.

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academic-plotting

Generate publication-quality figures for machine learning research papers.

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presenting-conference-talks

Generate Beamer LaTeX PDF and PPTX slides from research papers.

Official
Intermediate
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ml-paper-writing

Guide ML/AI paper writing with LaTeX templates and citation verification.

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Advanced
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systems-paper-writing

Generate paragraph-level structural blueprints for systems papers targeting leading conferences.

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Advanced
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huggingface-accelerate

Automate distributed PyTorch training with HuggingFace Accelerate.

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Intermediate
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implementing-llms-litgpt

Train and fine-tune LLMs with LitGPT using LoRA/QLoRA.

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Advanced
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gguf-quantization

Convert HuggingFace models to GGUF format with 2-8 bit quantization.

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serving-llms-vllm

Serve LLMs with OpenAI-compatible endpoints, quantization, and tensor parallelism.

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peft-fine-tuning

Fine-tune large language models with LoRA and QLoRA using PEFT libraries.

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llama-cpp

Run large language model inference on non-NVIDIA hardware with GGUF quantization.

Official
Advanced

Frequently Asked Questions About OpenCoven

FAQPage Schema
What specific tasks can I perform using OpenCoven?

You can manage research projects, perform GGUF model quantization, inspect cloud infrastructure via SQL-native queries, audit web accessibility, and execute approval-gated code reviews across various platforms like GitHub, Linear, and Jira.

Who is the target persona for these capabilities?

The platform is designed for software engineers, machine learning researchers, and technical project managers who require structured, verifiable, and secure execution of complex development and research tasks.

What are the prerequisites for running these skills?

Most skills require a compatible environment supporting Model Context Protocol (MCP) servers, standard shell access for command execution, and specific runtime configurations for libraries like PyTorch, Playwright, or HuggingFace.