MLOps
模型部署、评估与运维
pycse
jkitchin
Python computations in science and engineering (pycse) - helps with scientific computing tasks including nonlinear regression, uncertainty quantification, design of experiments (DOE), Latin hypercube sampling, surface response modeling, and neural network-based UQ with DPOSE. Use when working with numerical optimization, data fitting, experimental design, or uncertainty analysis.
aws-sdk-java-v2-bedrock
giuseppe-trisciuoglio
Provides Amazon Bedrock patterns using AWS SDK for Java 2.x. Use when working with foundation models (listing, invoking), text generation, image generation, embeddings, streaming responses, or integrating generative AI with Spring Boot applications.
business-model-canvas
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.
ba-orchestration
melodic-software
Multi-technique business analysis orchestration using BABOK. Coordinates 14 techniques across strategic analysis, problem solving, planning, and design into comprehensive analysis packages.
langchain4j-spring-boot-integration
giuseppe-trisciuoglio
Provides integration patterns for LangChain4j with Spring Boot. Handles auto-configuration, dependency injection, and Spring ecosystem integration. Use when embedding LangChain4j into Spring Boot applications.
current-date
melodic-software
Gets, checks, and verifies the current UTC date and time for unambiguous temporal reference. Use when starting tasks, verifying temporal context, ensuring date awareness before time-sensitive operations, or when incorrect date assumptions are detected.
data-pipeline-manager
dangeles
Design and troubleshoot robust data pipelines with comprehensive quality validation, error handling, and monitoring capabilities for bioinformatics and data processing workflows
pipeline-model-architecture
TencentBlueKing
BK-CI 流水线核心模型（Model）架构详解，涵盖 Pipeline/Stage/Container/Task 四层结构、模型序列化、版本管理、模型校验。当用户理解流水线数据结构、开发流水线功能、处理模型转换或进行模型扩展时使用。
pydanticai-docs
DougTrajano
Use this skill for requests related to Pydantic AI framework - building agents, tools, dependencies, structured outputs, and model integrations.
latest-software-version
GoogleCloudPlatform
Real-time source of truth for software and model versions. Activate when adding dependencies, installing packages, or identifying Gemini model names. Bypasses internal knowledge cutoffs by querying live registries (NPM, PyPI, Go Proxy) and official documentation.
domain-modeling
proflead
Model domains and bounded contexts for complex systems. Use when a senior developer needs domain-driven design guidance.
escalation-governance
athola
'NEVER escalate without investigation first. This is the Iron Law. Use
architecture-paradigm-microkernel
athola
'Minimal core system with plugin-based feature extensibility for platform
qwen-delegation
athola
Qwen CLI delegation workflow implementing delegation-core for Alibaba's
architecture-paradigms
athola
Interactive selector and router for architecture paradigms. Use when
architecture-paradigm-pipeline
athola
'Consult this skill when designing data pipelines or transformation workflows.
gemini-delegation
athola
Gemini CLI delegation workflow implementing delegation-core for Google's
legislative-monitoring
Hack23
Voting pattern analysis, committee effectiveness, bill tracking, parliamentary oversight for Swedish intelligence operations
threat-model-generation
Factory-AI
Generate a STRIDE-based security threat model for a repository. Use when setting up security monitoring, after architecture changes, or for security audits.
graphics-rendering
pluginagentmarketplace
3D graphics, shaders, VFX, lighting, rendering optimization. Create stunning visuals with production-ready techniques.
megatron-memory-estimator
yzlnew
Estimate GPU memory usage for Megatron-based MoE (Mixture of Experts) and dense models. Use when users need to (1) estimate memory from HuggingFace model configs (DeepSeek-V3, Qwen, etc.), (2) plan GPU resource allocation for training, (3) compare different parallelism strategies (TP/PP/EP/CP), (4) determine if a model fits in available GPU memory, or (5) optimize training configurations for memory efficiency.
slime-user
yzlnew
Guide for using SLIME (LLM post-training framework for RL Scaling). Use when working with SLIME for reinforcement learning training of language models, including setup, configuration, training execution, multi-turn interactions, custom reward models, tool calling scenarios, or troubleshooting SLIME workflows. Covers GRPO, GSPO, PPO, Reinforce++, multi-agent RL, VLM training, FSDP/Megatron backends, SGLang integration, dynamic sampling, and custom generation functions.
stacks-events
stacksjs
Use when working with the event system in a Stacks application - dispatching events, listening for events, model events, wildcard listeners, the event emitter, or event-driven architecture. Covers @stacksjs/events, app/Events.ts, app/Listener.ts, and app/Listeners/.
convert-elm-haskell
aRustyDev
Bidirectional conversion between Elm and Haskell. Use when migrating projects between these languages in either direction. Extends meta-convert-dev with Elm↔Haskell specific patterns. Use when migrating Elm frontend code to Haskell, translating Elm patterns to idiomatic Haskell, or refactoring Elm codebases. Extends meta-convert-dev with Elm-to-Haskell specific patterns.