ML Ops
Machine learning operations
numerai-research
by numerai
"End-to-end Numerai research workflow for trying a new idea: design experiments, implement new model types if needed, run scout→scale experiments, write a full experiment.md report with standard plots, and optionally package/upload a Numerai pickle. Use when a user asks to “try/test a new idea”, “run an experiment”, “sweep configs”, “compare model variants”, or otherwise do new Numerai research."
numerai-experiment-design
by numerai
Design and manage Numerai experiments in this repo for any model idea.
numerai-model-implementation
by numerai
Add a new Numerai model type to the agents training pipeline. Use when you need to register a model in agents/code/modeling/utils/model_factory.py, handle fit/predict quirks in agents/code/modeling/utils/numerai_cv.py, and update configs so the model can run via python -m agents.code.modeling.
baoyu-image-gen
by JimLiu
AI image generation with OpenAI, Google, DashScope and Replicate APIs. Supports text-to-image, reference images, aspect ratios. Sequential by default; parallel generation available on request. Use when user asks to generate, create, or draw images.
MLOps Industrialization
by fmind
Guide to transform prototypes into robust, distributable Python packages using the src layout, hybrid paradigm, and strict configuration management.
MLOps Initialization
by fmind
Guide to initialize a new MLOps project with standard tools (uv, git, VS Code) and best practices.
MLOps Observability
by fmind
Guide to implement full stack observability including reproducibility, lineage, monitoring, alerting, and explainability.
MLOps Prototyping
by fmind
Guide to create structured, reproducible Jupyter notebooks for MLOps prototyping, emphasizing configuration management and pipeline integrity.
MLOps Validation
by fmind
Guide to implement rigorous validation layers including static analysis, automated testing, structured logging, and security scanning.
marketing-leads-generation
by vasilyu1983
Use when building or fixing B2B pipeline. Revenue-aligned demand generation with lead types, funnel design, conversion paths, scoring/routing, attribution, ABS motions, and compliance.
stac-custom-extensions
by StacDev
Scaffold and integrate custom Stac widgets and actions with parsers and registration checks. Use when users ask to build new StacParser or StacActionParser implementations, generate custom model classes, or verify parser registration inside Stac.initialize.
dart-io
by dartsim
DART model loading - URDF, SDF, MJCF, SKEL parsers and dart::io unified API
django-patterns
by xu-xiang
Django 架构模式、使用 DRF 的 REST API 设计、ORM 最佳实践、缓存、信号（Signals）、中间件（Middleware）以及生产级 Django 应用。
ai-models
by alinaqi
Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate
mineru-extract
by blessonism
Use the official MinerU (mineru.net) parsing API to convert a URL (HTML pages like WeChat articles, or direct PDF/Office/image links) into clean Markdown + structured outputs. Use when web_fetch/browser can’t access or extracts messy content, and you want higher-fidelity parsing (layout/table/formula/OCR).
model-selection
by codewithmukesh
Strategic Claude model selection for .NET development workflows. Guides when to use Opus 4.6 (deep reasoning, architecture, ambiguous problems) vs Sonnet 4.6 (throughput, large context, routine implementation) vs Haiku 4.5 (fast, cheap subagent tasks). Covers model switching workflows, subagent model assignment, and cost-effective task routing. Load this skill when choosing models for tasks, optimizing costs, working with subagents, or when the user mentions "model", "Opus", "Sonnet", "Haiku", "which model", "cost", "switch model", or "fast mode".
concise
by forcedotcom
when creating/modifying md files in skills/rules for AI
agent-builder
by shareAI-lab
Design and build AI agents for any domain. Use when users: (1) ask to "create an agent", "build an assistant", or "design an AI system" (2) want to understand agent architecture, agentic patterns, or autonomous AI (3) need help with capabilities, subagents, planning, or skill mechanisms (4) ask about Claude Code, Cursor, or similar agent internals (5) want to build agents for business, research, creative, or operational tasks Keywords: agent, assistant, autonomous, workflow, tool use, multi-step, orchestration
influencer-marketing
by kostja94
When the user wants to plan, implement, or optimize influencer marketing strategy. Also use when the user mentions "influencer marketing," "KOL," "creator partnership," "brand ambassador," "sponsored content," "influencer campaign," "micro-influencer," "influencer outreach," "creator collaboration," or "influencer deal."
rfdiffusion
by adaptyvbio
Generate protein backbones using RFdiffusion, a diffusion-based generative model for de novo protein structure generation. Use this skill when: (1) Designing binder scaffolds for a target protein, (2) Generating novel protein backbones from scratch, (3) Scaffolding functional motifs into new proteins, (4) Specifying hotspot residues for interface design, (5) Creating symmetric oligomers. For sequence design after backbone generation, use proteinmpnn. For structure validation, use alphafold or chai. For QC thresholds, use protein-qc.
chai
by adaptyvbio
Structure prediction using Chai-1, a foundation model for molecular structure. Use this skill when: (1) Predicting protein-protein complex structures, (2) Validating designed binders, (3) Predicting protein-ligand complexes, (4) Using the Chai API for high-throughput prediction, (5) Need an alternative to AlphaFold2. For QC thresholds, use protein-qc. For AlphaFold2 prediction, use alphafold. For ESM-based analysis, use esm.
Oracle
by simota
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rails-model-generator
by ThibautBaissac
Creates Rails models using TDD approach - spec first, then migration, then model. Use when creating new models, adding model validations, defining associations, or setting up database tables.
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