Claude Skills by VectorSpaceLab

"Use the MemMachine server, configuration, REST API, MCP entry

"Use the @memmachine/client TypeScript REST client for

"Route Mem0 repository tasks across Python/TypeScript SDKs, OSS

"Use for Mem0/mem0ai command-line memory workflows: Python or Node

"Use Mem0 framework, agent, and editor integrations: Vercel AI SDK

"Configure Mem0 OSS providers, vector stores, embedders, LLMs,

"Use Mem0 SDKs for hosted Platform clients and local OSS memory in

"Deploy, configure, and troubleshoot self-hosted Mem0 server,

"Routes Memori Python and TypeScript memory SDK workflows across

"Routes Memori BYODB storage, schema build, database recipes, and

Routes Memori Cloud, CLI, quota/sign-up/setup, MCP, and agent API workflows.

"Routes Memori Python LLM registration, provider/framework recipes,

"Routes Memori attribution, sessions, recall/search, embeddings,

"Routes Memori TypeScript/Node SDK, request scopes, storage, and

"Use mergekit to configure, validate, and operate language-model

"Extend mergekit with custom merge methods and task graphs, or plan

"Author, validate, and run mergekit YAML configurations for core

"Resolve mergekit model references, infer compatible architectures,

"Route mergekit's first-class specialty commands for raw tensor,

"Use Mesa for agent-based simulation models, spatial ABM

"Collect Mesa experiment data, run scenario sweeps, and use

"Build and run Mesa core models with agents, activation, time

"Build and troubleshoot Mesa discrete and experimental continuous

"Build and troubleshoot Mesa visualizations with SolaraViz,

"Guides Meshroom graph-engine, node-descriptor, plugin, CLI

"Guides Meshroom batch, compute, inspect, status, statistics,

"Guides Meshroom graph, node, attribute, serialization,

"Guides Meshroom LocalFarm daemon, client, job/task, chunk

"Guides Meshroom node descriptor authoring, attribute schemas,

"Guides Meshroom plugin, node-folder, template, submitter,

"Guides Meshroom PySide6/QML application startup, Scene/UIGraph

"Use MetaGPT for multi-agent software-company workflows, Data

"Use MetaGPT Data Interpreter and RoleZero workflows for data

"Use MetaGPT extension optimizers, Android/Stanford

"Maintain MetaGPT internal APIs for serialization, memory,

"Use MetaGPT RAG pipelines, retrievers, document stores,

"Use MetaGPT's core virtual software-company workflow from CLI or

"Guides Metaflow workflow authoring, local and remote execution,

"Guides Metaflow Cards, current.card customization, card CLI

"Guides Metaflow Client API queries, run/artifact pathspecs,

"Guides Metaflow step dependency environments, @pypi, @conda,

"Guides Metaflow remote compute, production schedulers, projects,

"Guides authoring, checking, running, resuming, and debugging local

"Guides safe Metaflow repository maintenance, external-contributor

"Guides programmatic Metaflow execution with Runner, NBRunner,

"Use MimicKit repo-specific guidance for motion imitation,

AMP, ADD, ASE, and task-conditioned adversarial control workflows.

"DeepMimic, AWR, LCP, and static-object/vault motion-imitation

"Inspect, convert, validate, view, and plot MimicKit motion,

"Use MimicKit's shared runner, backend config triad, distributed