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.