- name
- text2qa
- description
- >
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
- Scan the full conversation (or provided text).
- Identify all Q&A exchanges and stated/implied preferences.
- Output Section 1 (Q&A Pairs) then Section 2 (Selection Preferences).
- Optionally offer to export as a
.mdfile 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."