ML Ops
Machine learning operations
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.
Behavioral Modification
by pjt222
Agent Almanac — a curated reference of executable skills, specialist agents, and teams for AI-assisted development, with interactive visualization
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.
nuxt-enums
by leeovery
TypeScript enum pattern with Castable interface for model integration. Use when creating enums with behavior methods (colors, labels), defining fixed value sets, or integrating enums with the model casting system.
azure-ai-document-intelligence-dotnet
by Tryboy869
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ai-ethics
by 89jobrien
Responsible AI development and ethical considerations. Use when evaluating
assessment
by borisghidaglia
Fitness and nutrition assessment. Activate when users want to evaluate their training or diet, identify gaps, get an initial assessment, or ask "what am I doing wrong?" or "where should I start?"
machine-learning
by 89jobrien
Machine learning development patterns, model training, evaluation, and
orchestrate
by vkotios
Use when the user asks you to coordinate a work package with orch in an adopted repository and you are its controller. Do not activate for an orch-launched implementer or reviewer, or for development of the kit itself.
claude-usage
by tdimino
Report ground-truth Claude token consumption and estimated cost by parsing JSONL session files directly. Use when checking API spend, auditing token usage by project/session/model, generating daily/weekly/monthly cost reports, or diagnosing ccusage undercounting. Includes subagent files that ccusage ignores.
parakeet
by tdimino
Local speech-to-text via Handy app (push-to-talk) and NeMo CLI scripts. Parakeet V3: 25 languages, auto-detection, ~30x realtime on M4 Max, 6% WER. This skill should be used when transcribing audio files or dictating voice input.
agoragentic-transaction-assurance-eval
by rhein1
Evaluate autonomous agents against deterministic Transaction Assurance and Tumbler marketplace scenarios covering mandates, provider choice, budgets, payments, retries, delivery, outcomes, refunds, and reconciliation. Use to produce public-safe evidence before enabling economic autonomy.
design-of-experiments
by jkitchin
Expert guidance for Design of Experiments (DOE) in Python - interactive goal-driven design selection, classical DOE (factorial, response surface, screening), Bayesian optimization with Gaussian processes, model-driven optimal designs, active learning, and sequential experimentation; includes pyDOE3, pycse, GPyOpt, scikit-optimize, statsmodels
python-regression-statistics
by jkitchin
Expert guidance for regression analysis, statistical modeling, and outlier detection in Python using statsmodels, scikit-learn, scipy, and PyOD - includes model diagnostics, assumption checking, robust methods, and comprehensive outlier detection strategies
idaes
by jkitchin
Comprehensive guidance for using IDAES (Institute for the Design of Advanced Energy Systems) for process systems engineering. Covers flowsheet modeling, property packages, unit models, optimization, scaling, initialization, and diagnostics. Use when working with chemical process simulations, energy systems modeling, power plant design, material and energy balances, or process optimization. Triggers include 'IDAES', 'flowsheet', 'process model', 'unit operation', 'process optimization', 'property package', 'energy systems', or process engineering tasks.
llama-cpp
by tdimino
Secondary local LLM inference engine via llama.cpp. This skill should be used when running GGUF models directly, loading LoRA adapters for Kothar, benchmarking inference speed, or serving models via llama-server. Complements Ollama (which remains primary for RLAMA and general use).
codex-cto
by tdimino
Inverted orchestration—Codex CLI acts as CTO (planning and reviewing), Claude Code executes with native tools. Use when a task benefits from external architectural oversight before and after implementation.
smolvlm
by tdimino
Local vision-language model for image analysis using SmolVLM-2B
python-optimization
by jkitchin
Expert guidance for mathematical optimization in Python - systematic problem classification, library selection (scipy, pyomo, cvxpy, GEKKO), solver configuration, and implementation patterns for LP, QP, NLP, MIP, convex, and global optimization problems
business-model-canvas
by flpbalada
Design and analyze business models using the Business Model Canvas framework.
nlm-to-editable-pptx
by Laggom
Use when the user has an image-based / non-editable PPTX or PDF (especially exported from NotebookLM, or any "scanned" deck where the slides are full-page pictures with no selectable text) and wants it converted into an editable PowerPoint with real, editable text boxes. Trigger this whenever the user mentions NotebookLM slides, "make this PPT editable", "the text isn't selectable", "convert this PDF deck to editable slides", Korean slide OCR, or rebuilding a deck so the text can be edited — even if they don't say the word "skill". Works on Windows/macOS/Linux and is portable to Databricks.
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.
earnings-analyst-questions
by OctagonAI
Identify key themes and concerns raised by analysts during earnings calls, including specific analyst attribution and topic categorization.