Agent skill

mistral-multi-env-setup

Configure Mistral AI across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment secrets, or implementing environment-specific Mistral AI configurations. Trigger with phrases like "mistral environments", "mistral staging", "mistral dev prod", "mistral environment setup", "mistral config by env".

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill mistral-multi-env-setup-jeremylongshore-claude-code-plugins --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: none
Version: 1.0.0
Declared author: Jeremy Longshore <jeremy@intentsolutions.io>
Allowed tools: ReadWriteEditBash(aws:*)Bash(gcloud:*)Bash(vault:*)
Path: skills/ai-llm/mistral-multi-env-setup-jeremylongshore-claude-code-plugins/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Mistral AI Multi-Environment Setup ## Overview Configure Mistral AI across development, staging, and production environments. ## Prerequisites - Separate Mistral AI API keys per environment - Secret management solution (Vault, AWS Secrets Manager, GCP Secret Manager) - CI/CD pipeline with environment variables - Environment detection in application ## Environment Strategy | Environment | Purpose | API Keys | Model Selection | |-------------|---------|----------|-----------------| | Development | Local dev | Test keys | mistral-small-latest | | Staging | Pre-prod testing | Staging keys | Same as prod | | Production | Live traffic | Production keys | Optimized selection | ## Instructions ### Step 1: Configuration Structure ``` config/ ├── mistral/ │ ├── base.ts # Shared configuration │ ├── development.ts # Dev overrides │ ├── staging.ts # Staging overrides │ └── production.ts # Prod overrides ``` ### Step 2: Base Configuration ```typescript // config/mistral/base.ts export const baseConfig = { defaultModel: 'mistral-small-latest', timeout: 30000, maxRetries: 3, cache: { enabled: true, ttlSeconds: 300, }, rateLimits: { requestsPerMinute: 60, tokensPerMinute: 500000, }, }; ``` ### St

What's inside
Steps it walks through
  1. Overview
  2. Prerequisites
  3. Environment Strategy
  4. Instructions
  5. Step 1: Configuration Structure
  6. Step 2: Base Configuration
  7. Step 3: Environment-Specific Configs
  8. Step 4: Environment Detection
  9. Step 5: Secret Management
  10. Step 6: Environment Isolation
  11. Step 7: Feature Flags by Environment
  12. Output
  13. Error Handling
  14. Examples
Ships with 1 file
  • metadata.json
Commands it runs
Store secrets
aws secretsmanager create-secret \
Retrieve in code
aws secretsmanager get-secret-value \
Store secret
echo -n "your-api-key" | gcloud secrets create mistral-api-key-prod --data-file=-
Grant access
gcloud secrets add-iam-policy-binding mistral-api-key-prod \
More from claude-skill-registry
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About this skill
What does the mistral-multi-env-setup skill do?

Configure Mistral AI across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment secrets, or implementing environment-specific Mistral AI configurations. Trigger with phrases like "mistral environments", "mistral staging", "mistral dev prod", "mistral environment setup", "mistral config by env".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill mistral-multi-env-setup-jeremylongshore-claude-code-plugins --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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