claude

mistral-pack

Complete Mistral AI integration skill pack with 24 skills covering model inference, embeddings, fine-tuning, and production deployments. Flagship tier vendor pack.

2 on GitHubby Jeremy Longshorev1.0.0MITupdated 6 months agosaas-packs
/

Plugin mistral-pack from marketplace claude-code-plugins-plus in flight505/skill-forge. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (24)

  • mistral-ci-integration

    Configure Mistral AI CI/CD integration with GitHub Actions and prompt

  • mistral-common-errors

    Diagnose and fix Mistral AI common errors and exceptions.

  • mistral-core-workflow-a

    Execute Mistral AI chat completions with streaming, multi-turn, and

  • mistral-core-workflow-b

    Execute Mistral AI embeddings, function calling, and RAG pipelines.

  • mistral-cost-tuning

    Optimize Mistral AI costs through model selection, token management,

  • mistral-data-handling

    Implement Mistral AI PII handling, data retention, and GDPR/CCPA compliance

  • mistral-debug-bundle

    Collect Mistral AI debug evidence for support tickets and troubleshooting.

  • mistral-deploy-integration

    Deploy Mistral AI integrations to Vercel, Docker, and Cloud Run platforms.

  • mistral-enterprise-rbac

    Configure Mistral AI enterprise access control and workspace management.

  • mistral-hello-world

    Create a minimal working Mistral AI chat completion example.

  • mistral-incident-runbook

    Execute Mistral AI incident response procedures with triage, mitigation,

  • mistral-install-auth

    Install and configure the Mistral AI SDK with authentication.

  • mistral-local-dev-loop

    Configure Mistral AI local development with hot reload, testing, and

  • mistral-migration-deep-dive

    Execute migration to Mistral AI from OpenAI, Anthropic, or other providers.

  • mistral-multi-env-setup

    Configure Mistral AI across development, staging, and production environments.

  • mistral-observability

    Set up comprehensive observability for Mistral AI with metrics, traces,

  • mistral-performance-tuning

    Optimize Mistral AI performance with caching, batching, and latency

  • mistral-prod-checklist

    Execute Mistral AI production deployment checklist and rollback procedures.

  • mistral-rate-limits

    Implement Mistral AI rate limiting, backoff, and request management.

  • mistral-reference-architecture

    Implement Mistral AI reference architecture with best-practice project

  • mistral-sdk-patterns

    Apply production-ready Mistral AI SDK patterns for TypeScript and Python.

  • mistral-security-basics

    Apply Mistral AI security best practices for secrets, prompt injection,

  • mistral-upgrade-migration

    Analyze, plan, and execute Mistral AI SDK upgrades with breaking change

  • mistral-webhooks-events

    Implement Mistral AI async patterns, batch API, agents, and event-driven

View source on GitHub tonsofskills.com

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