Jerry Lin avatar

Jerry Lin

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@ledtorch · Taiwan / San Francisco / Tokyo

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9Public Repos
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10Published Skills

Status: Overloading… | A Taiwan based product designer who works for a fintech company and love to share the case study from practical cases.

Skills Distribution
DomainDeveloper To...Code Review & Refa.. (30%)Git & Release Mana.. (25%)Task Planning & Ex.. (25%)Design System Oper.. (10%)

Agent Skills by Jerry Lin

Showing 10 vetted skills indexed across 1 GitHub repositories.

Frequently Asked Questions About Jerry Lin

FAQPage Schema
What tasks can I perform with ledtorch's skills?

You can create convention-following git commits, audit components for duplication and dead code, break specs into ordered tasks, implement plan-doc tasks with patch snapshots, trim files to minimal form, rename Figma layers, cut tagged releases, generate session handoff docs, and audit sites for AI-crawler readability.

Who are these skills designed for?

Software engineers and product designers who run structured, command-driven development sessions. The git, release, inspect, plan, and build skills target developers, while the label skill serves designers maintaining design-system naming conventions in Figma, and aeo serves site owners checking answer-engine visibility.

How do I set up and run these skills in a project?

Run install.sh, then invoke the setup skill to either wire commands into an existing doc layer (adopt) or build that layer from the real codebase (init). Afterward, commands like /commit, /plan, /build, and /release operate against the project, reporting if references/ is missing.

Do the skills modify code automatically without approval?

No. The inspect and aeo skills only produce severity-labelled findings and plan docs, fixing nothing. The build skill implements tasks but never commits, leaving changes in the working tree, and the team skill enforces two review gates with a maximum of two rollbacks.

What does the aeo skill check on a website?

It audits Answer/Agent Engine Optimization: AI-crawler access, raw-HTML visibility, answer-first content structure, citation-worthiness, freshness, and entity signals. It outputs severity-labelled, evidence-tiered findings plus a plan doc, indicating whether AI assistants can read, chunk, and cite the site.