AI & LLM Engineering · LangChain

Tune LangChain 1.0 / LangGraph 1.0 Python chains and agents for throughput, latency, and cost — streaming modes, explicit batch concurrency, semantic plus exact caches, persistent message history…

jeremylongshore/tons-of-skills-marketplace

Manage LangChain 1.0 prompts like code — LangSmith prompt hub versioning, XML-tag conventions for Claude, few-shot example selection, discriminated-union extraction schemas, and A/B test wiring.

jeremylongshore/tons-of-skills-marketplace

Rate-limit LangChain 1.0 calls correctly across multi-worker deployments — Redis-backed limiters, asyncio.Semaphore, narrow exception whitelists, and provider-specific throttle handling.

jeremylongshore/tons-of-skills-marketplace

A reference layered architecture for production LangChain 1.0 / LangGraph 1.0 services — LLM factory with version-safe defaults, chain/graph registry, retriever and tool DI, Pydantic-validated…

jeremylongshore/tons-of-skills-marketplace

Compose LangChain 1.0 Python runnables with the production defaults the docs do not warn about: parallel batching, narrow fallbacks, and brace-safe prompts.

jeremylongshore/tons-of-skills-marketplace

Migrate a LangChain 0.3.x Python codebase to LangChain 1.0 / LangGraph 1.0 without breaking production — named breaking changes, codemod patterns, and a phased rollout.

jeremylongshore/tons-of-skills-marketplace

Dispatch LangChain 1.0 chain/agent events to external systems — webhooks, Kafka, Redis Streams, SNS — via async fire-and-forget callbacks, subgraph-aware wiring, and HMAC-signed delivery with…

jeremylongshore/tons-of-skills-marketplace

Call POST /embeddings on Venice. An agent skill from veniceai/skills.

veniceai/skills

Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com.

neo4j-contrib/neo4j-skills

Build multimodal AI apps with Pixeltable. An agent skill from hashgraph-online/awesome-codex-plugins.

hashgraph-online/awesome-codex-plugins

Build LLM applications with LangChain and LangGraph. An agent skill from hoodini/ai-agents-skills.

hoodini/ai-agents-skills

根据用户的功能需求，完成与 VeADK 相关的功能。

LeoYeAI/openclaw-master-skills

Use this sub-skill when defining, validating, sharing, loading, or troubleshooting smolagents tools, built-in/default tools, Hub/Space/LangChain integrations, or MCP tool collections.

VectorSpaceLab/AREX-Skill

Builds AI agents using OpenAI Agents SDK with async/await patterns and multi-agent orchestration.

aiskillstore/marketplace

ADK 框架适配层。为 LangChain / EINO / AutoGen / AgentScope / CrewAI 提供框架特定的 代码模板、惯用模式、API 映射和项目结构，供 agent-dev-workshop Phase 5 代码生成使用。

hashgraph-online/awesome-codex-plugins

交互式 AI Agent 开发工作坊：通过 6 阶段深度协作对话，引导用户完成 Agent 需求分析、架构设计、 工具定义、Prompt 与编排设计、代码生成、验证迭代，产出可直接运行的 Agent 项目。

hashgraph-online/awesome-codex-plugins

Build LLM applications with LangChain. An agent skill from magnus919/agent-skills.

magnus919/agent-skills

Integrate applications with RouterBase, the OpenAI-compatible model gateway at https://routerbase.com/v1.

aiskillstore/marketplace

Onboards users to MLflow by determining their use case (GenAI agents/apps or traditional ML/deep learning) and guiding them through relevant quickstart tutorials and initial integration.

Kilo-Org/kilo-marketplace

Searches and retrieves MLflow documentation from the official docs site.

Kilo-Org/kilo-marketplace