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context-extractor

Extract All Needed Context sections from PRD markdown files into structured JSON bundles.

50|9|Updated Oct 15, 2025
Search Tags:#PRD#AI workflows#parse#context extraction#markdown tables#structured JSON
One-click install
npx skills add https://github.com/jpoley/flowspec --skill context-extractor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: context-extractor
Source: https://github.com/jpoley/flowspec/tree/main/.claude/skills/context-extractor
Command: npx skills add https://github.com/jpoley/flowspec --skill context-extractor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PRDs often contain dispersed information required for successful implementation. This Skill extracts the "All Needed Context" from PRD files and converts it into a structured JSON bundle to fuel automated flows and reduce manual data gathering.

Core Features & Use Cases

  • Context extraction: Locate the All Needed Context section and parse its subsections (Code Files, Docs / Specs, Examples, Gotchas, External Systems) into a consistent machine-readable JSON schema.
  • Markdown table parsing: Convert markdown tables into structured arrays for ingestion by downstream flows such as /flow:implement, /flow:generate-prp, and /flow:validate.
  • Use Case: Given a PRD, generate a reusable context bundle that guides implementation and validation workflows.

Quick Start

To use the context-extractor, provide a PRD markdown file path containing an All Needed Context section. The extractor outputs a JSON representation of the extracted context ready for AI processing.

Frequently Asked Questions about context-extractor

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

FAQPage Schema
How do I extract structured data from PRD markdown files?▼

Context extraction converts PRD markdown files into structured JSON by parsing the All Needed Context section and its subsections—Code Files, Docs/Specs, Examples, Gotchas, and External Systems—into machine-readable format for downstream AI workflows.

Can I parse markdown tables from PRDs into JSON?▼

Yes, the extractor converts markdown tables embedded in PRDs into structured JSON arrays, enabling deterministic data ingestion by implementation, validation, and proposal-generation workflows.

What input format does context extraction require?▼

Provide a PRD markdown file containing an All Needed Context section with labeled subsections. The extractor outputs a JSON bundle ready for AI processing and downstream automation flows.

How does context extraction reduce manual work in AI workflows?▼

By automatically parsing dispersed PRD information into structured JSON, it eliminates manual data gathering and enables deterministic context delivery to /flow:implement, /flow:generate-prp, and /flow:validate workflows.

Does context extraction work with any PRD structure?▼

The extractor targets PRDs with a defined All Needed Context section. Unstructured or differently formatted PRDs may require preprocessing to match the expected markdown subsection layout.

What happens after I extract context from a PRD?▼

The generated JSON bundle feeds downstream flows for implementation guidance, proposal generation, and validation—enabling automated processing of extracted Code Files, documentation, examples, and external system references.

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