claudeindex
Marketplace

rosetta

Author an agentic capability once in Claude Code's plugin format and ship it to every major harness.

Stars

1

Forks

0

Plugins

15

Installation

1

Add the marketplace

/plugin marketplace add meaganewaller/rosetta
2

Install plugins

/plugin

Run these commands in Claude Code to add this plugin to your environment. The marketplace must be added before you can install its plugins.

Details & Metadata

15

Plugins

0

Skills

0

Agents

Last Crawled

July 5, 2026

Plugins

Plugin

changelog

Generate and maintain a Keep a Changelog–style CHANGELOG.md from git history.

Plugin

pr-description

Draft a clear, reviewer-friendly pull request description from the staged diff and commit history.

Plugin

test-plan

Produce a focused test plan for a change — what to test, at which level, and the edge cases worth covering.

Plugin

secret-scan

Scan a diff or files for committed secrets and walk through safe remediation.

Plugin

shell-lint

Lint and harden shell scripts with shellcheck and robust-bash conventions.

Plugin

plugin-scaffold

Scaffold a spec-compliant catalog plugin — manifest, README, and component stubs in the canonical Claude Code format.

Plugin

skill-writer

Write trigger-quality SKILL.md files — descriptions that reliably fire and bodies built for progressive disclosure.

Plugin

catalog-curator

Validate a plugin against the catalog quality bar and register it in marketplace.json with a valid category.

Plugin

python-idioms

Write and review idiomatic modern Python — typing, data modeling, control flow, and the anti-patterns to avoid.

Plugin

typescript-idioms

Write and review idiomatic TypeScript — use the type system well and avoid the escape hatches that defeat it.

Plugin

ruby-idioms

Write and review idiomatic Ruby — Enumerable-driven, expression-oriented style and the loops and nil-checks it replaces.

Plugin

ruby-type-signature

Expert guidance for using a type system (RBS or Sorbet) with Ruby.

Plugin

prompt-engineering

Write and review effective LLM prompts — specificity, structure, examples, output contracts, and the failure modes to design against.

Plugin

llm-evals

Design evals for LLM features — representative test sets, pass criteria, and regression checks so you know when output is good.

Plugin

agent-memory

Design what an agent remembers — what to persist, how to retrieve it, and how to compact context so it stays within budget.