anticipationErkenne Patterns aus User-History und handle proaktiv
Install via ClawdBot CLI:
clawdbot install Mcben90/anticipationErkenne was der User brauchen WIRD, nicht nur was er sagt.
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| Beobachtung | Vorhersage | Aktion |
|-------------|------------|--------|
| 3x MCP-Crash | Problem ungelöst | "Läuft es stabil?" |
| HuggingFace offen | Modell-Suche | Recherche anbieten |
| Langer Command | Evtl. hängend | Prüfen/Hinweisen |
| Gleicher Error 2x | Frustrierend | Proaktiv helfen |
```
❌ Warten auf Befehle
❌ Generische Fragen ("Wie kann ich helfen?")
❌ Kontext ignorieren
âś… Proaktiv beobachten
âś… Spezifisch anbieten
âś… Kontext nutzen
```
| Signal | Intent | Aktion |
|--------|--------|--------|
| Kurze Befehle | Will Ergebnisse, nicht Erklärungen | Knapp antworten |
| Wiederholte Fragen | Unsicher/Frustration | Proaktiv klären |
| Multimodal Input | Komplexes Thema | Alle Infos nutzen |
| "." als Antwort | Weitermachen | Nicht fragen |
Generated Mar 1, 2026
The skill analyzes a developer's open files, recent commands, and error history to predict and resolve coding issues before they escalate. It can detect repeated crashes in development tools and proactively offer stability checks or debugging assistance, reducing downtime and frustration.
By monitoring browser tabs focused on platforms like HuggingFace or research papers, the skill anticipates the user's need for model information or data sources. It proactively offers relevant research summaries, code snippets, or dataset recommendations, streamlining the data science workflow.
In customer service chats, the skill analyzes conversation history to identify recurring issues or user frustration patterns. It anticipates follow-up questions and provides agents with proactive solutions or clarifications, improving response efficiency and customer satisfaction.
For content creators, the skill tracks open documents, browser tabs, and previous edits to predict next steps in a project. It can offer seamless transitions between tasks, such as suggesting image searches after writing a draft, minimizing decision fatigue during creative processes.
Offer the anticipation skill as a cloud-based service integrated into existing business tools like CRM or project management software. Charge monthly per user or team, with tiered pricing based on features like advanced pattern recognition or custom integrations.
License the skill to software companies to embed directly into their products, such as IDEs, collaboration platforms, or customer service suites. Revenue comes from one-time licensing fees or ongoing royalties based on user adoption within the vendor's ecosystem.
Provide tailored implementations of the anticipation skill for specific industries or large organizations. This includes custom training on user data, integration with proprietary systems, and ongoing support, generating revenue through project-based contracts.
đź’¬ Integration Tip
Start by integrating with tools that provide rich user context, such as IDEs or chat platforms, and gradually expand to multimodal inputs like browser activity for more accurate predictions.
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