Investigate-then-decide root-cause analysis for a defect whose cause is unknown. No code changes — exits to $ca-fix, $ca-adr, or a no-action close.
npx skills add https://github.com/arbiterForge/codeArbiter --skill ca-debug
Investigates a defect, anomaly, or unexpected behavior whose cause is not yet known. Separates investigation from implementation: no code is modified while debugging. Describe the symptom with enough fidelity that another operator could reproduce it — observed behavior, reproduction steps (or intermittent-trigger profile), and environment. Vague descriptions ("it's flaky") are rejected; the orchestrator asks for clarification before routing.
If the cause is already known and a regression test is already named, invoke $ca-fix directly.
The debug skill (${CLAUDE_PLUGIN_ROOT}/routines/debug/SKILL.md) — five gated phases: symptom
capture, hypothesis generation, evidence gathering, root-cause decision, handoff. Phase 4 forces one
named exit:
$ca-fix, carrying the confirmed bug statement, cited evidence, and a namedregression test obligation tied to the minimal repro.
$ca-adr, with the ambiguity statement and evidence ledger,authored only with explicit user attribution.
<project-root>/.codearbiter/open-tasks.md.
A real finding that is out of scope for those exits is marked inline [NEEDS-TRIAGE] and the
investigation continues.
$ca-fix directly.$ca-adr.$ca-feature.$ca-btw.$ca-fix or $ca-adr → exit that command first (routing-cycle prevention).MUST NOT modify any code during Phases 1–5 — code changes belong to $ca-fix. MUST exit Phase 4 with
exactly one of (a)/(b)/(c). Exit (a) MUST carry a regression test obligation. Exit (b) MUST obtain
user attribution before any $ca-adr. MUST NOT promote INCONCLUSIVE evidence to CONFIRMED without a
cited source.
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-debug 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.