getbindu/bindu/question-answering

Question Answering Skill

General-purpose question answering capability powered by OpenRouter. Access 300+ LLM models (GPT-4o, Claude, Llama, Gemini, Mistral, etc.) through a single unified API. Handles conversational queries, explanations, code generation, analysis, and creative writing.

Capabilities

Conversational Q&A

• Direct question answering with contextual understanding
• Multi-turn conversation with history awareness
• Follow-up questions and clarification handling

Code Assistance

• Code generation in multiple languages
• Code explanation and debugging
• Architecture and design pattern suggestions

Analysis and Reasoning

• Data interpretation and summarization
• Comparative analysis
• Logical reasoning and problem solving

Creative Writing

• Content generation (articles, emails, documentation)
• Tone adaptation (formal, casual, technical)
• Multi-language support

Supported Models (via OpenRouter)

Examples

• "Explain how microservices work"
• "What are the pros and cons of GraphQL vs REST?"
• "Help me understand async/await in TypeScript"
• "Write a Python function to parse CSV files"
• "Compare PostgreSQL and MongoDB for my use case"
• "Summarize the key points of this document"

Performance

Requirements

• OpenRouter API key (get one at https://openrouter.ai/keys)
• Internet connection for API calls

When to Use

• General knowledge questions
• Code assistance and review
• Content generation and editing
• Data analysis and interpretation
• Conversational AI applications

When NOT to Use

• Real-time data (stock prices, live sports) - use a web search agent
• Image generation - use a DALL-E or Stable Diffusion agent
• File processing (PDF, Excel) - use a document processing agent
• Database queries - use a data agent with direct DB access

Integration

This skill is used by the TypeScript OpenRouter agent example:

bindufy({
  skills: ["skills/question-answering"],
}, async (messages) => {
  const response = await openrouter.chat.completions.create({
    model: "openai/gpt-4o",
    messages: messages,
  });
  return response.choices[0].message.content;
});

Assessment

Keywords

question, answer, explain, help, how, what, why, write, generate, analyze, summarize, compare, code, debug

Specializations

• domain: general_knowledge (confidence_boost: 0.2)
• domain: code_assistance (confidence_boost: 0.3)
• domain: content_generation (confidence_boost: 0.2)

Complexity Indicators

• Simple: "what is", "explain", "define", single-topic questions
• Medium: "compare", "analyze", multi-step reasoning
• Complex: "design a system", "debug this code", multi-domain synthesis