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Install in OpenClaw
/install text2qa
Description
Extract structured Q&A pairs and Selection Preferences from any text source — especially the current chat session or uploaded documents. Use this skill whene...
Usage Guidance
This skill appears coherent and low-risk: it simply scans the conversation or provided documents to produce Q&A pairs and stated/inferred preferences and requests no credentials or installs. Before installing, consider whether you are comfortable the agent reading full chat history or uploaded documents (it may surface sensitive or private details). If you will use it with confidential content, review outputs carefully before sharing or exporting; consider disabling autonomous invocation for extra caution. Note the skill source is 'unknown' — while this is instruction-only (lower risk), prefer skills from known publishers if you need stronger provenance guarantees.
Capability Analysis
Type: OpenClaw Skill
Name: text2qa
Version: 1.0.0
The text2qa skill is a purely instructional bundle designed to help the AI agent extract and format Q&A pairs and user preferences from chat history or documents. It contains no executable code, network requests, or malicious prompt injection attempts, focusing entirely on text processing and organization within SKILL.md.
Capability Assessment
Purpose & Capability
Name and description claim extraction from chat sessions or documents, and the SKILL.md only instructs the agent to scan the conversation or provided text and produce Q&A pairs and preferences — all coherent and proportionate.
Instruction Scope
Instructions explicitly require scanning the full chat or provided document and synthesizing implicit/explicit Q&A and preferences. This is expected for the stated purpose, but it inherently reads potentially sensitive conversation content; the skill does not instruct reading unrelated files or external endpoints.
Install Mechanism
Instruction-only skill with no install spec and no code files, so nothing is written to disk or downloaded — lowest-risk install profile.
Credentials
No environment variables, credentials, or config paths are requested; the data the skill needs (chat text or uploaded documents) is consistent with its purpose.
Persistence & Privilege
always:false and default model invocation allowed; the skill does not request persistent or elevated privileges nor modify other skills or system settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install text2qa - After installation, invoke the skill by name or use
/text2qa - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of text2qa skill.
- Extracts structured Q&A pairs and selection preferences from chat sessions or any text source.
- Automatically identifies both explicit and implicit questions and answers.
- Synthesizes related dialog into standalone, clearly formatted Q&A pairs.
- Detects and lists user preferences, constraints, and decision criteria, marking each as direct or inferred.
- Outputs results in two sections: Q&A Pairs and Selection Preferences, with counts for each.
- Designed to support summarizing sessions, creating quizzes/flashcards, and building reusable knowledge bases.
Metadata
Frequently Asked Questions
What is get QA pairs from text or session?
Extract structured Q&A pairs and Selection Preferences from any text source — especially the current chat session or uploaded documents. Use this skill whene... It is an AI Agent Skill for Claude Code / OpenClaw, with 134 downloads so far.
How do I install get QA pairs from text or session?
Run "/install text2qa" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is get QA pairs from text or session free?
Yes, get QA pairs from text or session is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does get QA pairs from text or session support?
get QA pairs from text or session is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created get QA pairs from text or session?
It is built and maintained by Jay (@goog); the current version is v1.0.0.
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