Brownfield back-fill — scout an existing codebase and populate .codearbiter/, then lock it initialized.
npx skills add https://github.com/arbiterForge/codeArbiter --skill ca-create-context
Wraps an existing codebase in project state without guessing. Dispatches parallel scouts to read the repository, synthesizes their findings into the surviving .codearbiter/ doc set, resolves gaps via a targeted interview, and locks the project initialized. No arguments — the skill reads the repo and asks only what it cannot determine.
The only permitted path to populate .codearbiter/ when meaningful source code already exists. For a greenfield project with no source, use $ca-decompose.
The context-creation skill (${CLAUDE_PLUGIN_ROOT}/routines/context-creation/SKILL.md) — six gated
phases: pre-flight, scout dispatch, synthesis, gap interview, write, lock. Scouts return paths, line
numbers, and named values only — never raw source or secret values. The skill is canonical for the
phases and their gates.
<!--INITIALIZED--> in CONTEXT.md) → $ca-status.$ca-decompose..codearbiter/ not yet scaffolded → $ca-init first.<project-root>/.codearbiter/ directly or use $ca-feature.BLOCK if <!--INITIALIZED--> is already present in CONTEXT.md. BLOCK if no meaningful source exists
(route to $ca-decompose). BLOCK if any scout fails to return before synthesis. BLOCK if any
[CONFIRM-NN] exits the gap interview unresolved and undeferred. MUST NOT write <!--INITIALIZED-->
until every gap is resolved or deferred to open-questions.md.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Take arbiterforge/ca-create-context from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.