Extract and validate spec metadata into provenance-rich metadata.json files.
npx skills add https://github.com/specd-sdd/SpecD --skill specd-metadata
Please help me install this Agent Skill. Skill: specd-metadata Source: https://github.com/specd-sdd/SpecD/tree/main/.gemini/skills/specd-metadata Command: npx skills add https://github.com/specd-sdd/SpecD --skill specd-metadata
Generates and maintains spec metadata artifacts by extracting and organizing metadata from specs.
Run the deterministic extractor to generate initial metadata, then run the optimizer to refine and write the final metadata.
High-intent search queries and answers about installing and using this skill.
You extract metadata from spec artifacts using deterministic extraction logic that parses artifacts and generates a structured metadata file. This process ensures consistent metadata generation without manual data entry.
The best way to maintain spec metadata with content hashes is to write a provenance-rich metadata.json file. Content hashes ensure traceability by tracking artifact changes and linking metadata back to its source specifications.
Yes, you can use optional LLM-assisted optimization to improve spec metadata quality. After deterministic extraction, the optimizer refines rules, constraints, scenarios, and descriptions to enhance the overall metadata artifact.
A metadata.json file needs generation provenance for spec validation to ensure traceability and maintain data integrity. Provenance records the extraction and optimization steps applied to the spec artifacts.
You need to generate spec metadata artifacts when organizing and validating specification data from project artifacts. This process extracts and structures metadata to maintain consistency, traceability, and quality across your specification documents.
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