ML Ops
Machine learning operations
sec-business-desc-analysis
by OctagonAI
Extract and analyze business descriptions and competitive landscape from SEC filings using Octagon MCP. Use when researching company business models, market positioning, competitive advantages, industry dynamics, and strategic focus areas from Item 1 disclosures.
earnings-product-pipeline
by OctagonAI
Extract product development and pipeline updates from earnings calls, including clinical trial progress, regulatory submissions, and launch timelines.
laravel-livewire
by fusengine
Livewire 3 reactive components - wire:model, actions, events, Volt, Folio. Use when building reactive UI without JavaScript.
multi-model-meta-analysis
by petekp
Synthesize outputs from multiple AI models into a comprehensive, verified assessment. Use when: (1) User pastes feedback/analysis from multiple LLMs (Claude, GPT, Gemini, etc.) about code or a project, (2) User wants to consolidate model outputs into a single reliable document, (3) User needs conflicting model claims resolved against actual source code. This skill verifies model claims against the codebase, resolves contradictions with evidence, and produces a more reliable assessment than any single model.
model-first-reasoning
by petekp
Apply Model-First Reasoning (MFR) to code generation tasks. Use when the user requests "model-first", "MFR", "formal modeling before coding", "model then implement", or when tasks involve complex logic, state machines, constraint systems, or any implementation requiring formal correctness guarantees. Enforces strict separation between modeling and implementation phases.
dspy-haystack-integration
by OmidZamani
This skill should be used when the user asks to "integrate DSPy with Haystack", "optimize Haystack prompts using DSPy", "use DSPy to improve Haystack pipeline", mentions "Haystack pipeline optimization", "combining DSPy and Haystack", "extract DSPy prompt for Haystack", or wants to use DSPy's optimization capabilities to automatically improve prompts in existing Haystack pipelines.
dspy-finetune-bootstrap
by OmidZamani
This skill should be used when the user asks to "fine-tune a DSPy model", "distill a program into weights", "use BootstrapFinetune", "create a student model", "reduce inference costs with fine-tuning", mentions "model distillation", "teacher-student training", or wants to deploy a DSPy program as fine-tuned weights for production efficiency.
dspy-debugging-observability
by OmidZamani
This skill should be used when the user asks to "debug DSPy programs", "trace LLM calls", "monitor production DSPy", "use MLflow with DSPy", mentions "inspect_history", "custom callbacks", "observability", "production monitoring", "cost tracking", or needs to debug, trace, and monitor DSPy applications in development and production.
dspy-bootstrap-fewshot
by OmidZamani
This skill should be used when the user asks to "bootstrap few-shot examples", "generate demonstrations", "use BootstrapFewShot", "optimize with limited data", "create training demos automatically", mentions "teacher model for few-shot", "10-50 training examples", or wants automatic demonstration generation for a DSPy program without extensive compute.
skill-reviewer
by dashed
Review and ensure skills maintain high quality standards. Use when creating new skills, updating existing skills, or auditing skill quality. Checks for progressive disclosure, mental model shift, appropriate scope, and documentation clarity.
immunopipe-config
by pwwang
Master skill for generating immunopipe pipeline configurations. Determines pipeline architecture based on data type (scRNA-seq with or without scTCR/BCR-seq) and analysis requirements. Routes to individual process skills for detailed configuration. Use this skill when starting a new immunopipe configuration or modifying pipeline-level options.
active-inference-robotics
by plurigrid
"Second-order skill synthesizing Patrick Kenny's discrete active inference framework with K-Scale's JAX/MuJoCo robotics stack for predictive coding in robot locomotion"
model-router
by oyi77
Intelligent model routing via subagents - automatically spawn the right model for each task complexity
pennylane
by unitarylab
PennyLane - A versatile quantum machine learning library that supports hybrid quantum-classical computations.
qcbm
by unitarylab
Skill for understanding, using, and implementing the Quantum Circuit Born Machine (QCBM) for learning discrete probability distributions (Bars-and-Stripes) via the QCBMAlgorithm class.
fiftyone-model-evaluation
by voxel51
Evaluate model predictions against ground truth using COCO, Open Images, or custom protocols. Use when computing mAP, precision, recall, confusion matrices, or analyzing TP/FP/FN examples for detection, classification, segmentation, or regression tasks.
fiftyone-embeddings-visualization
by voxel51
Visualizes datasets in 2D using embeddings with UMAP or t-SNE dimensionality reduction. Use when exploring dataset structure, finding clusters, identifying outliers, or understanding data distribution.
vqc
by unitarylab
Skill for understanding, using, and implementing the Variational Quantum Classifier (VQC) for Iris dataset classification with data re-uploading and Parameter Shift Rule via the VQCAlgorithm class.
qnn
by unitarylab
Skill for understanding, using, and implementing the Quantum Neural Network (QNN) with parameterized quantum circuits for supervised learning via the QNNAlgorithm class.
aeon
by plurigrid
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
media-generation
by vargHQ
Generate AI videos using varg SDK. Use for videos, animations, talking characters, slideshows, social content. JSX-based - describe scenes, render videos.
pricing-strategist
by ognjengt
Builds comprehensive pricing strategies by reading business context and asking targeted questions interactively. Use when user needs pricing plans, tier structures, price points, pricing model recommendations, or any pricing-related strategy for their product or service.
replicate-cli
by VladimirBrejcha
This skill provides comprehensive guidance for using the Replicate CLI to run AI models, create predictions, manage deployments, and fine-tune models. Use this skill when the user wants to interact with Replicate's AI model platform via command line, including running image generation models, language models, or any ML model hosted on Replicate. This skill should be used when users ask about running models on Replicate, creating predictions, managing deployments, fine-tuning models, or working with the Replicate API through the CLI.
business-model-canvas
by melodic-software
Business model design using Osterwalder's Business Model Canvas and Lean Canvas. Creates 9-block canvases with structured analysis for business model innovation and startup validation.