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AI Content Generator — Dutch Content Engine with Smart Fallb
Python-based Dutch content engine with multi-provider routing, template validation, and idiomatic quality control.
$38.99
AI Content Generator — Dutch Content Engine with Smart Fallb
Example session with this skill installed
Generate a Dutch product description for a 'Solar Powerbank' using the 'E-commerce' template. Tone should be professional but persuasive. Use the primary provider (Claude).
- Read your context and instructions
- Compiled the ai content generator
The Dutch content engine has generated and validated the product description using the Claude provider. No fallback was required, and all schema constraints for the 'E-commerce' template were met.
Gegenereerde Productomschrijving: Solar Powerbank
| Veld | Inhoud | Status |
|---|---|---|
| Titel | Universele Solar Powerbank - 20.000mAh - Zwart | Gevalideerd |
| Introductie | Blijf altijd en overal bereikbaar met deze krachtige solar powerbank, ideaal voor de veeleisende outdoor-avonturier. | Gevalideerd |
| Kenmerken | 20.000mAh capaciteit; Ingebouwd zonnepaneel; Dubbele USB-poort; IP65 waterbestendig. | Gevalideerd |
| Voordelen | Laad tot drie apparaten tegelijk op; Milieuvriendelijk opladen via zonlicht; Robuust ontwerp voor intensief gebruik. | Gevalideerd |
| Call to Action | Bestel vandaag nog en ga nooit meer met een lege batterij op pad. | Gevalideerd |
| Taalvariant | Nederlands (Standaard) | Gevalideerd |
Metadata & Validatie
- Provider: Claude-3-5-Sonnet
- Validatie Score: 100% (Alle verplichte secties aanwezig)
- Token Verbruik: 342
- Latentie: 1.2s
Flagged Claims: De claim "20.000mAh" dient geverifieerd te worden tegen de technische specificaties van de fabrikant.
Next steps
- Controleer de technische specificaties van de batterijcapaciteit voordat u publiceert.
- Voeg specifieke garantie-informatie toe aan de 'Kenmerken' sectie indien van toepassing.
- Test de conversie van de Call to Action in een A/B-test op de landingspagina.
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About this skill
Generating high-quality Dutch content requires more than just translation. This skill implements a Python-based content engine that handles multi-provider routing, template validation, and idiomatic Dutch generation. It solves the problem of unreliable LLM outputs by enforcing strict schema validation and managed fallback logic across Claude, Gemini, and Qwen.
What it does
- Multi-provider routing manages requests across Claude, Gemini, and Qwen based on configurable policies.
- Template enforcement ensures Dutch content follows specific schemas, section orders, and length constraints.
- Managed fallbacks handle transient API failures with bounded retries without looping indefinitely.
- Linguistic validation checks for idiomatic Dutch fluency, tone consistency, and regional spelling conventions.
- Claim flagging automatically marks unsupported facts, uncertain statistics, or missing sources for manual review.
How it works
- Define content parameters including audience, tone, language variant, and required template sections.
- Execute provider policy to route the request through the preferred model or fallback sequence.
- Validate structured output against the required fields and length bounds defined in the template schema.
- Repair or report by attempting a single automated fix for validation errors before returning diagnostic metadata.
Frameworks & tools
Built for Python environments using a provider-neutral interface. It integrates with Claude, Gemini, and Qwen APIs while requiring environment-based secret management.
Why this beats prompting it yourself
Raw prompting often leads to "translationese" or hallucinated facts in Dutch. This skill wraps the LLM in a production-grade controller that validates every heading, respects regional idioms, and refuses to silently fail when providers go down.
Use cases
- Generate localized Dutch marketing copy following strict brand voice guidelines.
- Build resilient content pipelines that switch providers during API outages.
- Produce technical Dutch documentation with enforced structural requirements.
- Create regionalized blog content that flags claims needing expert verification.
Known limitations
Does not perform external real-time fact-checking. Requires pre-configured API credentials and defined template schemas to function. Language support is focused exclusively on Dutch variants.
Does not perform real-time web-based fact-checking. Requires pre-defined template schemas. Limited to Dutch language variants. External API credentials must be provided via environment variables.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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- Software
Python