15.7KGitHub
OPENAGENTSKILL / DIRECTORY
AI Agent Skills
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Results · “chaos-experiments”
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Results: 52
51GitHub
14.7KGitHub
3.4KGitHub
nature-writing
Yuan1z0825
Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Us…
ResearchClaude Code
38.7KGitHub
Sacred
IDSIA
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Ml AutomationReview before use
4.4KGitHub
Agi
hyperspaceai
The first distributed AGI system. Thousands of autonomous AI agents collaboratively train models, share experiments via P2P gossip, and push breakthroughs here. Fully pe…
1.9KGitHub
Auto Deep Researcher 24x7
Xiangyue-Zhang
🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
1.2KGitHub
FAROS
OpenNSWM-Lab
A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.
ResearchReview before use
1.2KGitHub
deepchem
K-Dense-AI
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featuriza…
DesignClaude Code
43.5KGitHub
ab-testing
coreyhaines31
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "spli…
DesignClaude Code
46.6KGitHub
cirq
K-Dense-AI
Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best…
DesignClaude Code
38.5KGitHub
adaptyv
K-Dense-AI
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv…
DesignClaude Code
34KGitHub
arbor
K-Dense-AI
Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinemen…
ResearchClaude Code
34KGitHub
Knowledge Distillation Pytorch
haitongli
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
Robotics IotReview before use
2KGitHub
experiment-queue
wanshuiyin
SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says "batch exper…
AutomationClaude Code
15.7KGitHub
External platform skills
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