analyze-dfxp-docs

Extract TTML1/DFXP specification rules from web sources into a machine-parseable summary.

272|141|Updated Jun 1, 2012
One-click install
npx skills add https://github.com/pbs/pycaption --skill analyze-dfxp-docs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyze-dfxp-docs
Source: https://github.com/pbs/pycaption/tree/main/.claude/skills/analyze-dfxp-docs
Command: npx skills add https://github.com/pbs/pycaption --skill analyze-dfxp-docs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generates an exhaustive DFXP/TTML specification summary from diverse web sources, ensuring complete rule coverage and self-validation.

Core Features & Use Cases

  • Exhaustive coverage of TTML1/DFXP elements, attributes, timing, layout, metadata, and profiles.
  • Self-validation reports verifying rule counts, completeness, and source attribution.
  • Source attribution per rule and a plan-driven, section-by-section extraction workflow.

Quick Start

Run the analyze-dfxp-docs skill to generate the complete DFXP/TTML specification summary from web sources.

Frequently Asked Questions about analyze-dfxp-docs

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

FAQPage Schema
How do I extract the complete TTML1 specification for automated compliance checks?

To extract the complete TTML1 specification, apply a TOC-driven, section-by-section approach from primary web sources to generate an exhaustive, machine-parseable rule set covering elements, attributes, and timing for automated compliance checks.

What is the best way to ensure 100% coverage of DFXP elements and attributes?

Ensuring 100% coverage of DFXP elements and attributes requires validating extracted rules against Appendix D feature designations, producing self-validation reports that verify rule counts, completeness, and source attribution per rule.

Does this approach capture timing, styling, regions, and metadata for TTML documents?

Yes, this approach captures timing, styling, regions, and metadata for TTML documents by performing exhaustive extraction across all specification sections to enumerate rules, enum values, and sources into a machine-parseable summary.

How do I generate a machine-parseable DFXP spec summary from web sources?

You generate a machine-parseable DFXP spec summary by running a plan-driven extraction workflow on primary web sources, which enumerates rules and enum values with source attribution for integration with automated checks.

Can I validate extracted TTML rules against Appendix D feature designations?

Yes, you validate extracted TTML rules against Appendix D feature designations to confirm completeness and accuracy, generating self-validation reports that verify rule counts and source attribution within the specification summary.