ClawHub

get QA pairs from text or session

Other

Extract structured Q&A pairs and Selection Preferences from any text source — especially the current chat session or uploaded documents. Use this skill whenever the user asks to "extract Q&A", "generate questions and answers", "pull out questions from the chat", "create a quiz from this conversation", "identify preferences", "find selection criteria", or wants to summarize a session into a reusable knowledge base. Also trigger when users say things like "turn this chat into Q&A", "what did we decide?", "document my preferences from this conversation", or "make flashcards from this". Works on chat sessions, documents, articles, transcripts, or any freeform text.

Install

openclaw skills install text2qa

text2qa Skill

Extract Q&A pairs and Selection Preferences from the current chat session or any provided text.

Output Format

Produce two clearly separated sections:

Section 1: Q&A Pairs

Identify every implicit or explicit question-answer exchange. Format as:

## Q&A Pairs

**Q1: <question>**
A: <answer>

**Q2: <question>**
A: <answer>
...

Rules:

  • Extract both explicit questions (user directly asked something) and implicit questions (Claude provided info that answers an unstated question).
  • Rephrase conversational exchanges into clean, standalone Q&A pairs.
  • If an answer spans multiple turns, synthesize into one coherent answer.
  • Skip small talk or meta-conversation (e.g., "thanks!", "sure!").

Section 2: Selection Preferences

Identify any preferences, constraints, choices, or criteria the user expressed or implied. Format as:

## Selection Preferences

| # | Preference / Constraint | Source (direct/inferred) |
|---|------------------------|--------------------------|
| 1 | <preference>           | direct / inferred        |
| 2 | <preference>           | direct / inferred        |
...

Preference types to look for:

  • Format preferences — "I want markdown", "keep it short", "use bullet points"
  • Content preferences — "focus on X", "skip Y", "I prefer Z style"
  • Tool/approach preferences — "don't use files", "use Python not JS"
  • Persona/tone preferences — "be concise", "explain like I'm a beginner"
  • Domain/topic constraints — "only for production use", "target audience is X"
  • Decisions made — explicit choices the user made during the session

Mark each as direct (user stated it outright) or inferred (implied by behavior/choices).

Workflow

  1. Scan the full conversation (or provided text).
  2. Identify all Q&A exchanges and stated/implied preferences.
  3. Output Section 1 (Q&A Pairs) then Section 2 (Selection Preferences).
  4. Optionally offer to export as a .md file if the user might want to save it.

Tips

  • For chat sessions: scan from the very first message.
  • For documents: treat headings/paragraphs as implicit questions when appropriate.
  • If the session is very long, cluster related Q&As under sub-headings by topic.
  • If no preferences are found, say so clearly rather than inventing them.
  • Always note the total count: "Found X Q&A pairs and Y preferences."