Extract TCA iOS Skill Unit metadata from SKILL.md frontmatter into YAML.
npx skills add https://github.com/prateek/dotfiles --skill tca-ios
Please help me install this Agent Skill. Skill: tca-ios Source: https://github.com/prateek/dotfiles/tree/main/.agents/skills/tca-ios Command: npx skills add https://github.com/prateek/dotfiles --skill tca-ios
This Skill describes how to identify valid Skill Units in a repository by requiring a root SKILL.md with YAML frontmatter and then generating structured metadata for discovery and governance.
Validate a Skill Unit by locating its SKILL.md, verifying the YAML frontmatter, and running the metadata extraction workflow.
High-intent search queries and answers about installing and using this skill.
To extract metadata for a TCA iOS Skill Unit, locate the root SKILL.md file, verify its YAML frontmatter, and map optional directories like scripts, references, and assets to generate a structured YAML metadata block.
Validating a TCA iOS Skill Unit requires a root SKILL.md file containing mandatory YAML frontmatter with at least the name and description fields properly defined.
The TCA iOS architecture handles dependency and toxicity checks by producing a toxicity and provenance assessment during metadata extraction to validate safe and compliant Skill Units.
Yes, you can use optional directories like scripts, references, and assets in TCA iOS by mapping them to metadata fields for on-demand loading during the Skill Unit extraction process.
The YAML metadata block for iOS architecture includes fields such as name, tagline, description, request, complexity, category, keywords, dependencies, and components, plus a toxicity check result.
hackfest-devParse SKILL.md YAML frontmatter and catalog Skill Unit metadata.
costa-marcelloAudit, improve, and generate CLAUDE.md files across repositories.
tryhusetBuild, refactor, debug, and test iOS/macOS features with The Composable Architecture.
masharrattParse test outputs from Jest, Mocha, and Pytest into a unified structure.
