Extract structured requirements, gaps, and API contracts from RFC/PRD documents.
npx skills add https://github.com/hoshiyar-singh8/SprintPlanner --skill rfc-reading
Please help me install this Agent Skill. Skill: rfc-reading Source: https://github.com/hoshiyar-singh8/SprintPlanner/tree/main/skills/rfc-reading Command: npx skills add https://github.com/hoshiyar-singh8/SprintPlanner --skill rfc-reading
RFC/PRD analysis is time-consuming and error-prone; this skill provides structured extraction of requirements, gaps, and scope from long documents to align teams and plans.
Upload an RFC/PRD document and ask the agent to extract requirements, detect gaps, and generate a structured RFC summary.
High-intent search queries and answers about installing and using this skill.
To extract structured requirements from an RFC, upload the full-length document to the agent and request requirement extraction. The skill identifies requirement IDs, categories, descriptions, ambiguity levels, and dependencies to produce a structured RFC summary.
Yes, you can identify gaps and missing scope in a PRD automatically by submitting the document to the agent. It performs UI scope checks, handles ambiguity, and surfaces missing pieces, risks, and dependencies to prevent misinterpretation.
API contract extraction works by analyzing RFCs that include API changes and mapping the associated data fields. The agent identifies these contracts during the structured requirement extraction process to support downstream planning.
The best way to handle ambiguity in product requirement documents is using automated extraction protocols that assess ambiguity levels. This skill evaluates UI scope and categorizes requirement clarity to align teams and prevent misinterpretation.
Yes, this requirement extraction tool works with full-length PRDs and RFCs across all product domains. It processes documents containing UI, API, data, and config implications without requiring domain-specific configurations.
A key limitation when extracting requirements from long RFC documents is the reliance on the provided text to identify gaps and API contracts. The extraction protocol cannot infer missing requirements that are completely absent from the source document.
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