mistral-reference-architecture
Best-practice project layout and architecture patterns for Mistral AI apps.
Install
mkdir -p .claude/skills/mistral-reference-architecture && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4785" && unzip -o skill.zip -d .claude/skills/mistral-reference-architecture && rm skill.zipInstalls to .claude/skills/mistral-reference-architecture
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Implement Mistral AI reference architecture with best-practice projectKey capabilities
- →Implement layered project architecture
- →Configure Zod-validated environment variables
- →Manage singleton Mistral client instances
- →Define custom error classes with retry logic
- →Implement service-layer caching for deterministic requests
- →Create reusable prompt templates
How it works
It organizes code into distinct layers including API, Service, Mistral, and Infrastructure, using a singleton client and Zod for configuration validation.
Inputs & outputs
When to use mistral-reference-architecture
- →Structuring new AI projects
- →Standardizing error handling
- →Configuring service layers
- →Designing production-grade integrations
About this skill
Mistral Governed Reference Architecture
Overview
Create a workload-aware architecture separating identity, policy, transport, state, and side effects. Route each job to the simplest stable surface and isolate preview/stateful APIs.
Prerequisites
- A workload inventory for chat, embeddings, classifiers, files/OCR, audio, batch, FIM, and orchestration.
- Identity, tenant, data, retention, spend, SLO, and incident requirements.
- Current endpoint/model evidence and owners for stateful stores.
Current Contract
Mistral exposes distinct stateless and stateful surfaces including chat, embeddings, classifiers, files, OCR, audio, batch, Workflows, and Public Preview Agents/Conversations. Their contracts are not interchangeable.
Authentication
Terminate app identity/authorization at a policy gateway; inject provider keys only in trusted adapters. Use approved service identity patterns when supported.
Instructions
- Map each workload to data class, latency, state, side effects, endpoint, and stability.
- Place auth, tenancy, moderation, budgets, and bounds in the gateway.
- Isolate provider calls behind typed adapters and preview APIs behind versioned boundaries.
- Use queues/idempotency for async work; reconcile Files, Batch, Workflows, and app state.
- Store approved data with tenant keys, provenance, retention, deletion, and audit.
- Define observability, failure modes, rollout, rollback, provider exit, and test ownership.
Tool Discipline
Use Read, Glob, and Grep to inspect code, locks, configuration, tests, and evidence. Use Write and Edit only for approved repository changes. Invocation alone does not authorize network calls, paid usage, uploads, stateful resources, admin mutations, deployments, or deletion.
Approval Boundaries
Preview selection, uploads, persistent stores, tools, infrastructure, and live traffic require approval. Architecture review alone does not provision or mutate any component.
Error Handling
- One generic completion wrapper cannot preserve file, batch, event, and conversation contracts.
- Provider auth does not enforce application tenancy.
- Untracked uploads create unmanaged data.
Output
Return components and trust boundaries, workload mappings, stores, approvals, failure paths, owners, tests, and migration and rollback plans. Mark every preview dependency explicitly.
Examples
- Route interactive chat directly and approved bulk work through idempotent batch.
- Keep beta conversation state behind a replaceable adapter.
Validation
Walk happy, timeout, duplicate, cross-tenant, outage, rotation, deletion, and rollback paths for every workload. Confirm each stateful resource has reconciliation ownership.
Resources
- Current first-party evidence map — recheck dated sources before relying on mutable endpoints, models, limits, prices, preview status, or retention.
- Record live account observations as environment-specific evidence, not universal Mistral guarantees.
When not to use it
- →High-temperature requests that are non-deterministic
- →Applications requiring non-TypeScript environments
- →Projects not utilizing the Mistral AI SDK
Prerequisites
Limitations
- →Caching is only effective for temperature=0 requests
- →Requires manual configuration of environment variables
How it compares
It enforces a strict layered architecture and centralized error handling instead of ad-hoc integration scripts.
Compared to similar skills
mistral-reference-architecture side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| mistral-reference-architecture (this skill) | 1 | 2mo | Review | Intermediate |
| mcp-builder | 136 | 5mo | Review | Advanced |
| architecture-patterns | 55 | 4mo | No flags | Advanced |
| nodejs-best-practices | 28 | 8mo | No flags | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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