A skill that cannot be invoked by the model.

[unclosed bracket

This skill has no YAML frontmatter at all.

'Intelligent Git Flow branch creator that analyzes git status/diff and creates appropriate branches following the nvie Git Flow branching model.'

Diagnoses Qdrant search quality issues. Use when someone reports 'results are bad', 'wrong results', 'not relevant results', 'missing matches', 'recall is low', 'approximate search worse than exact', 'which embedding model', or 'quality dropped after quantization'. Also use when search quality degrades without obvious changes.

Wire channels to agent groups, manage isolation levels, add new channel groups. Use after adding a channel, during setup, or standalone to reconfigure.

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

Multi-agent architectures distribute work across multiple language model instances, each with its own context window. When designed well, this distribution enables capabilities beyond single-agent lim

Campaign attribution analysis involves systematically evaluating evidence to determine which threat actor or

Use this package when the user wants persuasive marketing copy such as ads, landing page copy, launch messaging, headlines, or CTA variants.

Explore Solana's architecture and protocol internals. Covers the SVM execution engine, account model, consensus, transactions, validator economics, data layer, development tooling, and token extensions using the Helius blog, SIMDs, and Agave/Firedancer source code.

Smart LLM router — save 67% on inference costs. Routes every request to the cheapest capable model across 41 models from OpenAI, Anthropic, Google, DeepSeek, and xAI.

Evaluate franchise opportunities and manage multi-unit operations with data-driven frameworks.

Route tasks to the cheapest capable model. Never crash on rate limits.

Compress natural language prompts into I-Lang — AI-native structured instructions. 40-65% token savings.

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Simulate standardized patient encounters for medical training, supporting OSCE-style history-taking practice, communication skills rehearsal, and educational debriefing.

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A clean, modular, and user-friendly image generation tool powered by [Pollinations.ai](https://pollinations.ai).

Assess whether to escalate models

**Save 30-50% on model costs through intelligent, automatic model selection.**

Estimate the cost of any AI prompt across 19+ models before you run it. Works with OpenAI, Anthropic, Google, DeepSeek, xAI, MiniMax, and local models.

Estimate the cost savings from caching frequently-used prompts across AI models.

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Run an autonomous Open Ralph Wiggum coding loop using OpenCode Zen with free models and automatic fallback.

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Training Machine Learning Models

Explaining Machine Learning Models

explaining-machine-learning-models

klingai-camera-control

langchain-model-inference

salesloft-rate-limits

together-common-errors

threat-model-creator

confusion-matrix-generator

cross-validation-setup

distributed-training-setup

early-stopping-callback

feature-engineering-helper

feature-importance-analyzer

gradient-clipping-helper

hyperparameter-tuner

learning-rate-scheduler

mlflow-tracking-setup

model-checkpoint-manager

model-explainability-tool

optuna-study-creator

pytorch-model-trainer

tensorflow-model-trainer

wandb-experiment-logger