domain cluster

Data & AI

Machine learning, LLMs, and data processing.

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llm-ai
1

react-pattern

Reasoning and Acting patterns for agentic LLM workflows

pluginagentmarketplace
pluginagentmarketplace
data-ai
open
llm-ai
1

arcanea-centaur-mode

Advanced human-AI co-creation methodology - the Centaur Principle in practice. Master the art of combining human creativity with AI capability for results neither could achieve alone.

frankxai
frankxai
data-ai
open
llm-ai
1

synapse-plugin-execution

Explains how to execute Synapse plugins programmatically. Use when the user mentions "run_plugin", "ExecutionMode", "LocalExecutor", "RayActorExecutor", "RayJobExecutor", "PluginDiscovery", "from_path", "from_module", or needs help with running plugins programmatically.

datamaker-kr
datamaker-kr
data-ai
open
llm-ai
1

layer-09-ux

Expert knowledge for UX Layer modeling in Documentation Robotics

tinkermonkey
tinkermonkey
data-ai
open
llm-ai
1

chatter-driven-development

Use when designing futuristic agentic workflows, when wanting AI to proactively act on team communications, or when eliminating the bottleneck of formal specifications

Coowoolf
Coowoolf
data-ai
open
llm-ai
1

example

这是一个示例 Skill,演示如何创建自定义 Skill。

sunqb
sunqb
data-ai
open
machine-learning
1

domino-model-endpoints

Deploy and monitor model API endpoints in Domino. Covers creating prediction endpoints, version management, Grafana dashboards for latency/errors/resources, alerting, and GPU inference with NVIDIA Triton. Use when deploying models as APIs, monitoring production endpoints, or debugging endpoint issues.

jvdomino
jvdomino
data-ai
open
llm-ai
1

ux-command-analysis

Evaluates the user experience of the bot's command interface and provides actionable recommendations

forever19735
forever19735
data-ai
open
llm-ai
1

gam-researcher-agent

Automated context retrieval from Transmission Packet archive using iterative research loop. Implements GAM "Read Path" to complement manual "Write Path" (Memorizer).

starwreckntx
starwreckntx
data-ai
open
llm-ai
1

claude-code-docs

Answers questions about Claude Code features, configuration, and usage from local documentation synced from code.claude.com. Use when users ask about hooks, plugins, skills, MCP servers, slash commands, sub-agents, settings, permissions, sandboxing, CLAUDE.md memory files, model selection, costs, IDE integrations (VS Code, JetBrains), CI/CD (GitHub Actions, GitLab), or cloud providers (Bedrock, Vertex, Azure).

nathanvale
nathanvale
data-ai
open
machine-learning
1

model-optimization

Model optimization techniques including hyperparameter tuning, architecture search, training optimization, and performance profiling for ML systems.

doanchienthangdev
doanchienthangdev
data-ai
open
machine-learning
1

experiment-tracking

Master ML experiment tracking - MLflow, W&B, Neptune, versioning, reproducibility

pluginagentmarketplace
pluginagentmarketplace
data-ai
open
machine-learning
1

supervised-learning

Build production-ready classification and regression models with hyperparameter tuning

pluginagentmarketplace
pluginagentmarketplace
data-ai
open
machine-learning
1

torch-geometric

Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.

mcox3406
mcox3406
data-ai
open
machine-learning
1

continuous-monitoring

Real-time monitoring and detection of adversarial attacks and model drift in production

pluginagentmarketplace
pluginagentmarketplace
data-ai
open
machine-learning
1

dnn-architectures

Deep neural network architectures including CNNs, RNNs, Transformers, and modern architectures for vision, NLP, and multimodal tasks.

doanchienthangdev
doanchienthangdev
data-ai
open
machine-learning
1

mechinterp-runner

Execute mechanistic interpretability experiments from JSON specs - family sweeps, itemsets, interactions, minimal cores, validation

cesaregarza
cesaregarza
data-ai
open
machine-learning
1

ml-experiment

Track ML experiments with proper logging and reproducibility. Use when training models or running experiments.

wildwasser
wildwasser
data-ai
open
machine-learning
1

pymc

Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.

hxk622
hxk622
data-ai
open
machine-learning
1

mechinterp-validation-suite

Run credibility checks on feature interpretations including split-half stability and shuffle null tests

cesaregarza
cesaregarza
data-ai
open
machine-learning
1

data-poisoning

Test AI training pipelines for data poisoning vulnerabilities and backdoor injection

pluginagentmarketplace
pluginagentmarketplace
data-ai
open
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