ML Ops
Machine learning operations
migrations
by dotnet
'Implementation details for EF Core migrations. Use when changing MigrationsSqlGenerator, model diffing, migration operations, HistoryRepository, the Migrator or related classes.'
ai-avatar-video
by inference-sh
"Create AI avatar and talking head videos with OmniHuman, Fabric, PixVerse via inference.sh CLI. Models: OmniHuman 1.5, OmniHuman 1.0, Fabric 1.0, PixVerse Lipsync. Capabilities: audio-driven avatars, lipsync videos, talking head generation, virtual presenters. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos. Triggers: ai avatar, talking head, lipsync, avatar video, virtual presenter, ai spokesperson, audio driven video, heygen alternative, synthesia alternative, talking avatar, lip sync, video avatar, ai presenter, digital human"
flow-nexus-neural
by ruvnet
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
BKUI 快速入门
by TencentBlueKing
蓝鲸前端知识库入口指南，包含规范、索引和工作流程
aeon
by K-Dense-AI
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.
adding-models
by letta-ai
Guide for adding new LLM models to Letta Code. Use when the user wants to add support for a new model, needs to know valid model handles, or wants to update the model configuration. Covers models.json configuration, CI test matrix, and handle validation.
powerbi-modeling
by github
'Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance.'
agile-coach
by borghei
Expert agile coaching covering team transformation, agile frameworks, coaching techniques, organizational change, and continuous improvement.
sales-operations
by borghei
Expert sales operations covering CRM management, sales analytics, territory planning, compensation design, and process optimization.
cfo-advisor
by borghei
Financial leadership advisor for CFOs on financial planning, fundraising, investor reporting, unit economics, cash management, and financial operations.
cmo-advisor
by borghei
Marketing leadership advisor for CMOs on brand strategy, demand generation, marketing operations, growth marketing, and revenue marketing alignment.
senior-ml-engineer
by borghei
Expert ML engineering covering model development, MLOps, feature engineering, model deployment, and production ML systems.
coo-advisor
by borghei
Operations leadership advisor for COOs on business operations, process optimization, scaling infrastructure, cross-functional alignment, and operational excellence.
demand-gen-manager
by borghei
Expert demand generation covering lead generation, campaign management, funnel optimization, marketing automation, and pipeline contribution.
ai-llm
by vasilyu1983
Production LLM engineering skill. Covers strategy selection (prompting vs RAG vs fine-tuning), dataset design, PEFT/LoRA, evaluation workflows, deployment handoff to inference serving, and lifecycle operations with cost/safety controls.
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.
ai-music-generation
by inference-sh
"Generate AI music and songs with Diffrythm, Tencent Song Generation via inference.sh CLI. Models: Diffrythm (fast song generation), Tencent Song Generation (full songs with vocals). Capabilities: text-to-music, song generation, instrumental, lyrics to song, soundtrack creation. Use for: background music, social media content, game soundtracks, podcasts, royalty-free music. Triggers: music generation, ai music, generate song, ai composer, text to music, song generator, create music with ai, suno alternative, udio alternative, ai song, ai soundtrack, generate soundtrack, ai jingle, music ai, beat generator"
peft-fine-tuning
by davila7
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.
aeon
by K-Dense-AI
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.
ai-evals
by RefoundAI
Help users create and run AI evaluations. Use when someone is building evals for LLM products, measuring model quality, creating test cases, designing rubrics, or trying to systematically measure AI output quality.
ai-product-strategy
by RefoundAI
Help users define AI product strategy. Use when someone is building an AI product, deciding where to apply AI in their product, planning an AI roadmap, evaluating build vs buy for AI capabilities, or figuring out how to integrate AI into existing products.
design-everyday-things
by wondelai
'Apply foundational design principles: affordances, signifiers, constraints, feedback, and conceptual models. Use when the user mentions "why is this confusing", "affordance", "error prevention", "discoverability", "human-centered design", or "fault tolerance". Covers the gulfs of execution and evaluation. For usability scoring, see ux-heuristics. For iOS-specific patterns, see ios-hig-design.'
ai-engineer
by sickn33
Build production-ready LLM applications, advanced RAG systems, and
lambda-labs-gpu-cloud
by davila7
Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.