ML Ops

Machine learning operations

Showing 1705-1728 of 2096 skills
christian-bromann

langchain-tool-calling

by christian-bromann

How chat models call tools - includes bindTools, tool choice strategies, parallel tool calling, and tool message handling

Agents 3 8mo ago
robzolkos

prime

by robzolkos

Prime yourself on a codebase by listing files and reading the README.

Docs Gen 3 8mo ago
tara-shopos

product-tryon-visualization

by tara-shopos

Generate realistic product try-on visualizations showing how garments, accessories, or products look when worn or used. Use for virtual try-on experiences, fit visualization, and helping customers see products in use before purchase.

Analytics 3 9mo ago
robzolkos

interview

by robzolkos

Interview me about the plan

Code Gen 3 8mo ago
christian-bromann

langchain-rag

by christian-bromann

Build Retrieval Augmented Generation (RAG) systems with LangChain - includes embeddings, vector stores, retrievers, document loaders, and text splitting

Agents 3 8mo ago
christian-bromann

langchain-chat-models

by christian-bromann

Guide to using chat model integrations in LangChain including OpenAI, Anthropic, Google, Azure, and Bedrock

Agents 3 8mo ago
christian-bromann

langchain-models

by christian-bromann

Initialize and use LangChain chat models - includes provider selection (OpenAI, Anthropic, Google), model configuration, and invocation patterns

Agents 3 8mo ago
SanctifiedOps

solana-account-model

by SanctifiedOps

Expert guide to Solana's account model: ownership, signers, rent, PDAs, CPIs, and state layout decisions. Use when modeling accounts, auditing account flows, or debugging account-related errors.

Code Review 3 9mo ago
CAPHTECH

eld-debug

by CAPHTECH

ELD的デバッグ手法 - 法則(Law)視点でバグを分析・修正する。 バグを「法則からの逸脱」として捉え、証拠ループで系統的に解決する。 トリガー条件: - 「ELDでデバッグして」「法則視点でバグを調査して」 - 「証拠ベースでバグ修正して」「デバッグを体系的に進めて」 - バグ修正、障害調査、根本原因分析

Legal 1 8mo ago
tylertitsworth

kueue

by tylertitsworth

"Kueue — ClusterQueues, ResourceFlavors, fair sharing, preemption, TAS, MultiKueue. Use when managing batch workload queuing and GPU quotas on K8s. NOT for Volcano."

Kubernetes 3 7mo ago
evanfang0054

langchain-chat-models

by evanfang0054

使用 LangChain 中的聊天模型集成指南,包括 OpenAI、Anthropic、Google、Azure 和 Bedrock

Agents 1 8mo ago
liauw-media

llm-integration

by liauw-media

"Use when integrating LLM APIs into applications. Covers API patterns, prompt templates, streaming, error handling, cost optimization, and provider abstraction. Apply when building chat interfaces, completion endpoints, or AI-powered features."

ML Ops 3 9mo ago
robzolkos

catchup

by robzolkos

Catch up on codebase changes by reviewing the diff from master and reading relevant spec files.

Git & VCS 3 8mo ago
tylertitsworth

keda

by tylertitsworth

"KEDA — ScaledObject/ScaledJob CRDs, 60+ triggers, scale-to-zero for GPU inference, TriggerAuthentication. Use when configuring event-driven pod autoscaling. NOT for HPA basics or Kueue."

API Dev 3 7mo ago
evanfang0054

langchain-structured-output

by evanfang0054

使用 Zod 模式、类型安全响应和自动验证从 LangChain 代理和模型获取结构化的验证输出

Agents 1 8mo ago
Workshop-Ventures

backend-ai-agent

by Workshop-Ventures

Create AI agents using Vercel AI SDK with tool use, tracing, and failover. Use when asked to "create an AI agent", "add AI", "create LLM integration", or "build an assistant".

ML Ops 1 9mo ago
squirrelsoft-dev

subagent-generator

by squirrelsoft-dev

Generates custom Claude Code subagents with specialized expertise. Activates when user wants to create a subagent, specialized agent, or task-specific AI assistant. Creates properly formatted .md files with YAML frontmatter, suggests tool restrictions and model selection, generates effective system prompts. Use when user mentions "create subagent", "new agent", "specialized agent", "task-specific agent", or wants isolated context for domain-specific work.

File Ops 3 11mo ago
christian-bromann

deepagents-overview

by christian-bromann

Understanding Deep Agents framework - what they are, how to create them with create_deep_agent/createDeepAgent, and the agent harness architecture with built-in middleware for planning, filesystems, and subagents.

Agents 3 8mo ago
robzolkos

discovery

by robzolkos

Quick user-centric interview to capture requirements from a time-poor stakeholder.

Automation 3 8mo ago
christian-bromann

langchain-multimodal

by christian-bromann

Work with multimodal inputs/outputs in LangChain - includes images, audio, video, content blocks, and vision capabilities

Docker 3 8mo ago
pluginagentmarketplace

data-ai-skills

by pluginagentmarketplace

Master machine learning, data engineering, AI engineering, LLMs, prompt engineering, and MLOps. Build intelligent systems with Python.

Processing 3 9mo ago
christian-bromann

langchain-embeddings

by christian-bromann

Guide to using embedding model integrations in LangChain including OpenAI, Azure, and local embeddings

Agents 3 8mo ago
dotneet

call-cursor-agent

by dotneet

Call cursor-agent to perform a task.

Agents 3 9mo ago
euler-xyz

euler-irm-oracles

by euler-xyz

Oracle and Interest Rate Model guide for Euler Finance V2. This skill should be used when deploying oracle adapters, configuring price resolution, querying prices, or understanding IRM types. Triggers on tasks involving Chainlink, Pyth, Chronicle, price feeds, Linear Kink IRM, Adaptive Curve IRM, or interest rate configuration.

CI/CD 1 9mo ago