Analyze business documents to generate _state.md files and feature briefs.
npx skills add https://github.com/cuongnm-dev/team-ai-config --skill from-doc
Please help me install this Agent Skill. Skill: from-doc Source: https://github.com/cuongnm-dev/team-ai-config/tree/main/cursor/skills/from-doc Command: npx skills add https://github.com/cuongnm-dev/team-ai-config --skill from-doc
Translates business documents (PDF, Word, images, test-case files) into structured SDLC artifacts by generating per-feature briefs and state documents, enabling rapid scoping when requirements exist but code is not yet available.
In a single step, provide the input documents and let the skill produce the initial _state.md and feature briefs for downstream workflows.
High-intent search queries and answers about installing and using this skill.
To convert business documents into SDLC pipelines, analyze input files like PDFs and Word documents to generate structured feature briefs and _state.md files. This translates requirements into ready-to-use artifacts for downstream development workflows.
Yes, you can generate state files for Cursor and Claude Code from a PDF. The tool analyzes the document to produce a Cursor-ready _state.md and feature briefs, enabling a seamless handoff from requirements to code generation for both producers.
Extracting features from a test-case file involves analyzing the document structure to produce per-feature briefs. The workflow covers preflight, extraction, and analysis steps to ensure artifacts adhere to the feature map and state schema.
Yes, the workflow supports dual-producer collaboration between Cursor and Claude Code. It outlines a contract where Cursor acts as a lightweight producer and Claude Code handles production-grade pipelines, ensuring cross-producer artifact compatibility.
The best way to scope features without existing code is generating per-feature briefs and state documents from business documents. This enables rapid scoping by translating requirements into structured SDLC artifacts before implementation begins.
Ingesting spreadsheets for SDLC artifact generation requires ensuring the extracted structure and features adhere to the state schema. Limitations may arise if the spreadsheet structure is highly unstructured, preventing accurate extraction of features for the _state.md file.
NousResearchExtract text and structured data from PDFs, scanned documents, and images.
ascorbicExtract actions, facts, and decisions from conversations into structured JSON.
ianyimiEnforce coding standards for the global tech stack in Claude Code.
AJ-434Create and maintain a product marketing context document at .claude/product-marketing-context.md.
