spectra-ask

Answer technical specification questions using vector search over openspec documents.

Updated Apr 5, 2026
One-click install
npx skills add https://github.com/fhsh-tp/fhsh.py-dojo --skill spectra-ask-fhsh-tp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: spectra-ask
Source: https://github.com/fhsh-tp/fhsh.py-dojo/tree/main/.gemini/skills/spectra-ask
Command: npx skills add https://github.com/fhsh-tp/fhsh.py-dojo --skill spectra-ask-fhsh-tp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables precise, document-based questions answering to help users understand technical specifications and updates efficiently.

Core Features & Use Cases

  • Question Parsing: Interprets user inquiries and contextual conversations for targeted information retrieval.
  • Document Search & Retrieval: Utilizes vector search to find relevant specification documents or change proposals based on user queries.
  • Answer Generation: Provides accurate, grounded responses solely based on documents from openspec, avoiding guesswork or general knowledge.
  • Use Case: Engineers or product managers can quickly clarify specifications or changes by asking specific questions and receiving authoritative answers.

Quick Start

Input your question with /spectra:ask followed by your query to get an accurate answer grounded in spec documents.

Frequently Asked Questions about spectra-ask

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

FAQPage Schema
How do I get accurate answers from technical specification documents?

Vector search facilitates precise question-answering from technical specifications by matching query semantics to documented text. It retrieves exact specification details and change logs without relying on general knowledge.

Can I use this for retrieving information from change logs and open specs?

Yes, this approach retrieves information from change logs and open specs by parsing user inquiries and utilizing vector search. It provides document-grounded answers strictly based on the documented sources for engineering teams.

Does the answer generation rely on general knowledge or documented sources?

Answer generation relies strictly on documented sources from open specifications, avoiding general knowledge or guesswork. This ensures engineering teams receive exact, authoritative information directly from the technical spec documents.

What is the best way to clarify technical specifications for engineering teams?

The best way to clarify technical specifications for engineering teams is using a document-based question-answering system. It interprets user inquiries and retrieves targeted information from open specifications to provide exact answers.

Are there limitations to answering questions outside of the provided spec documents?

Yes, a key limitation is that the system cannot answer questions outside of the provided spec documents. It avoids general knowledge and guesswork, meaning responses are strictly limited to information available in the open specification sources.