answers-questions

Generates a Markdown report of answers to provided questions from given documentation files.

Updated Apr 5, 2026

Search Tags:#automation #documentation #markdown #qa #fine-tuning #nlp #knowledge-base

Ready to run

npx skills add https://github.com/joleques/northstar-ai --skill answers-questions

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: answers-questions
Source: https://github.com/joleques/northstar-ai/tree/main/.codex/skills/answers-questions
Command: npx skills add https://github.com/joleques/northstar-ai --skill answers-questions

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates the extraction of answers from a specific documentation directory by compiling user questions and returning a structured Markdown report saved under agentAI/fine-tuning/<Titulo_Informado_Pelo_Usuario>/respostas.

Core Features & Use Cases

Enforces explicit input requirements (questions list, documentation directory, and target file title) to avoid ambiguous results.
Analyzes documentation content to answer questions strictly from provided sources and generates a training-ready Markdown report.
Supports optional revision workflow to incorporate reviewer feedback and produce improved outputs for fine-tuning.
Produces outputs suitable for in-context learning and downstream fine-tuning of AI agents on documentation QA tasks.

Quick Start

Provide all mandatory inputs (questions list, documentation directory, and target file title) and run the agent to generate the answers report.

Frequently Asked Questions about answers-questions

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate a Q&A report from existing documentation for fine-tuning?▼

To generate a Q&A report for fine-tuning, provide a list of questions, the exact documentation directory, and an output file title. The agent analyzes your sources and saves a structured Markdown report.

What inputs are required to extract answers from a documentation directory?▼

Extracting answers from a documentation directory requires three mandatory inputs: the list of questions, the exact documentation directory path, and the target output file title. Execution halts if any are missing.

Can I incorporate reviewer feedback into the generated Markdown reports?▼

You can incorporate reviewer feedback into the Markdown reports through an optional revision workflow. This process updates the extracted answers to produce improved outputs for downstream fine-tuning.

Where are the extracted documentation answers saved?▼

Extracted documentation answers are saved as a Markdown report under the agentAI/fine-tuning/<user_provided_title>/respostas directory, ensuring outputs are organized for in-context learning.

Does the agent infer answers if information is missing from the provided documentation?▼

The agent does not infer missing details or answers outside the provided sources. It answers questions strictly from the contained documentation to ensure accuracy for knowledge-base generation.

What is the best way to automate question answering for a knowledge base?▼

Automating question answering for a knowledge base is best achieved by enforcing explicit input requirements. This approach analyzes specific documentation directories to compile structured Markdown training-ready reports.