ML Ops
Machine learning operations
data-jupyter-python
by Mindrally
Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
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.
sc-gemini-imagegen
by kylesnowschwartz
Generate and edit images using the Gemini API (Nano Banana Pro). This skill SHOULD be used when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.
external-agents
by kylesnowschwartz
Invoke external AI CLIs (Codex, Gemini) for second opinions, code reviews, or alternative analysis. This skill SHOULD be used when the user asks for a "second opinion", "outside review", says "ask codex", "ask gemini", "run codex", "run gemini", "get another AI's take", or needs verification from a different model.
odoo-code-tracer
by unclecatvn
Trace Odoo code execution flow from entry point to end. Use proactively when planning tasks, reviewing code, or understanding how features work end-to-end. Follows all function calls, method overrides, inheritance chains, and callbacks without missing any execution path.
aptos-object-model
by raintree-technology
Expert on Aptos Object Model for composable, transferable assets. Covers ObjectCore, Object<T> wrapper, ConstructorRef, ExtendRef, DeleteRef, TransferRef capabilities, object ownership, named vs generated objects, and composability patterns.
industry-pe-ratios
by OctagonAI
Retrieve industry-specific P/E ratios using Octagon MCP. Use when comparing company valuations to specific industry peers, analyzing sub-sector valuations, and understanding niche market valuations beyond broad sector averages.
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.
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.
abductive-repl
by plurigrid
' Hypothesis-Test Loops via REPL for Exploratory Abductive Inference'
affective-taxis
by plurigrid
"Affective valence as directional derivative of interoceptive energy landscape (Sennesh & Ramstead 2025)"
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.
letta-configuration
by letta-ai
Configure LLM models and providers for Letta agents and servers. Use when setting model handles, adjusting temperature/tokens, configuring provider-specific settings, setting up BYOK providers, or configuring self-hosted deployments with environment variables.
tasks
by agenticnotetaking
View and manage the task stack and processing queue. Shows pending work, active tasks, completed items, and queue state. Triggers on "/tasks", "show tasks", "what's pending", "task list", "queue status".
pipeline
by agenticnotetaking
End-to-end source processing -- seed, reduce, process all claims through reflect/reweave/verify, archive. The full pipeline in one command. Triggers on "/pipeline", "/pipeline [file]", "process this end to end", "full pipeline".
3d-cv-labeling-2026
by curiositech
Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).
predictive-intelligence
by groeimetai
This skill should be used when the user asks to "predictive intelligence", "machine learning", "ML", "classification", "similarity", "clustering", "prediction", "AI", or any ServiceNow Predictive Intelligence development.
laravel-livewire
by fusengine
Livewire 3 reactive components - wire:model, actions, events, Volt, Folio. Use when building reactive UI without JavaScript.
mlflow-onboarding
by mlflow
Onboards users to MLflow by determining their use case (GenAI agents/apps or traditional ML/deep learning) and guiding them through relevant quickstart tutorials and initial integration. If an experiment ID is available, it should be supplied as input to help determine the use case. Use when the user asks to get started with MLflow, set up tracking, add observability, or integrate MLflow into their project. Triggers on "get started with MLflow", "set up MLflow", "onboard to MLflow", "add MLflow to my project", "how do I use MLflow".
gitlab-webhooks
by hookdeck
Receive and verify GitLab webhooks. Use when setting up GitLab webhook handlers, debugging token verification, or handling repository events like push, merge_request, issue, pipeline, or release.
cosmosdb-best-practices
by AzureCosmosDB
Azure Cosmos DB performance optimization and best practices guidelines for NoSQL, partitioning, queries, and SDK usage. Use when writing, reviewing, or refactoring code that interacts with Azure Cosmos DB, designing data models, optimizing queries, or implementing high-performance database operations.
litellm
by Jamie-BitFlight
When calling LLM APIs from Python code. When connecting to llamafile or local LLM servers. When switching between OpenAI/Anthropic/local providers. When implementing retry/fallback logic for LLM calls. When code imports litellm or uses completion() patterns.