machine-learning
261
dotnet-mlnet
Use ML.NET to train, evaluate, or integrate machine-learning models into .NET applications with realistic data preparation, inference, and deployment expectations.
managedcode
data-ai
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machine-learning
261
dotnet-mvvm
Implement the Model-View-ViewModel pattern in .NET applications with proper separation of concerns, data binding, commands, and testable ViewModels using MVVM Toolkit.
managedcode
data-ai
machine-learning
260
contribute-turbo
Submit turbo skill improvements back to the upstream repo. Adapts to repo mode: fork mode creates a PR, source mode pushes directly. Use when the user asks to "contribute to turbo", "submit turbo changes", "PR my skill changes", "contribute back", or "upstream my changes".
tobihagemann
data-ai
machine-learning
257
instinct-system
Confidence-scored instinct system for learning project-specific patterns through an observe-hypothesize-confirm cycle. Instincts start as low-confidence hypotheses and graduate to permanent rules in MEMORY.md once confirmed. Stored per-project in .claude/instincts.md. Load this skill when you notice a recurring pattern, want to track a project convention, encounter "learn this", "I think they always", "notice a pattern", "instinct", "hypothesis", "confidence", or when starting a session (to load existing instincts).
codewithmukesh
data-ai
machine-learning
257
model-selection
Strategic Claude model selection for .NET development workflows. Guides when to use Opus 4.6 (deep reasoning, architecture, ambiguous problems) vs Sonnet 4.6 (throughput, large context, routine implementation) vs Haiku 4.5 (fast, cheap subagent tasks). Covers model switching workflows, subagent model assignment, and cost-effective task routing. Load this skill when choosing models for tasks, optimizing costs, working with subagents, or when the user mentions "model", "Opus", "Sonnet", "Haiku", "which model", "cost", "switch model", or "fast mode".
codewithmukesh
data-ai
machine-learning
257
climpred-forecast-verification
Verify weather and climate forecasts using climpred. Use when computing forecast skill metrics (RMSE, ACC, CRPS, etc.), comparing hindcasts to observations, bootstrapping significance, removing bias, or working with HindcastEnsemble/PerfectModelEnsemble objects. Triggers on: forecast verification, prediction skill, hindcast, climate prediction, skill score, predictability.
pangeo-data
data-ai
machine-learning
255
evalyn-calibrate
Use when LLM judges need calibration, evaluation metrics seem misaligned with expectations, or annotation and judge tuning is needed
shihongDev
data-ai
machine-learning
255
evalyn-eval
Use when building evaluation datasets, selecting metrics, or running evaluations on an LLM agent project with evalyn
shihongDev
data-ai
machine-learning
254
metacognitive-self-mod
Analyze and improve the improvement process. Use for detecting quality regressions and refining meta-optimization.
athola
data-ai
machine-learning
254
latent-space-engineering
Shape agent behavior through instruction framing, emotional priming, and style transfer rather than information density alone.
athola
data-ai
machine-learning
254
risk-classification
Inline risk classification for agent tasks using a 4-tier model. Hybrid routing: GREEN/YELLOW use heuristic file-pattern matching, RED/CRITICAL escalate to war-room-checkpoint for full reversibility scoring.
athola
data-ai
machine-learning
252
netsuite-ai-connector-instructions
NetSuite Intelligence skill — teaches AI the correct tool selection order, output formatting, domain knowledge, multi-subsidiary and currency handling, and SuiteQL safety guardrails for any AI + NetSuite AI Service Connector session.
oracle
data-ai
machine-learning
250
add-afm-model
Add support for a new HuggingFace MLX model to AFM. Use when user wants to add, onboard, or check compatibility of a model — handles everything from "already supported" to implementing new architectures.
scouzi1966
data-ai
machine-learning
248
openrouter-trending-models
Fetch trending programming models from OpenRouter rankings. Use when selecting models for multi-model review, updating model recommendations, or researching current AI coding trends. Provides model IDs, context windows, pricing, and usage statistics from the most recent week.
MadAppGang
data-ai
machine-learning
248
model-tracking-protocol
MANDATORY tracking protocol for multi-model validation. Creates structured tracking tables BEFORE launching models, tracks progress during execution, and ensures complete results presentation. Use when running 2+ external AI models in parallel. Trigger keywords - "multi-model", "parallel review", "external models", "consensus", "model tracking".
MadAppGang
data-ai
machine-learning
248
performance-tracking
Track agent, skill, and model performance metrics for optimization. Use when measuring agent success rates, tracking model latency, analyzing routing effectiveness, or optimizing cost-per-task. Trigger keywords - "performance", "metrics", "tracking", "success rate", "agent performance", "model latency", "cost tracking", "optimization", "routing metrics".
MadAppGang
data-ai
machine-learning
248
task-complexity-router
Complexity-based task routing for optimal model selection and cost efficiency. Use when deciding which model tier to use, analyzing task complexity, optimizing API costs, or implementing tiered routing. Trigger keywords - "routing", "complexity", "model selection", "tier", "cost optimization", "haiku", "sonnet", "opus", "task analysis".
MadAppGang
data-ai
machine-learning
248
pentest-ctf-binary
Binary exploitation (Pwn) and reverse engineering tools for CTF challenges and software analysis.
jd-opensource
data-ai
machine-learning
248
brainstorming
Collaborative ideation and planning with resilient multi-model exploration, consensus scoring, and adaptive confidence-based validation
MadAppGang
data-ai
machine-learning
248
proxy-mode-reference
Reference guide for using external AI models via claudish CLI. Use when running multi-model reviews, understanding how /team invokes external models, or debugging external model integration issues. Includes routing prefixes for MiniMax, Kimi, GLM direct APIs.
MadAppGang
data-ai
machine-learning
247
vector-index-tuning
Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.
aiskillstore
data-ai