Agent skill

ca-btw

Lightweight Q&A about the project — answer from context and return, no routing, no state change.

arbiterForgegithub.com/arbiterForgeGitHub ↗
codexclaude-codeAGPL-3.0
Install
npx skills add arbiterForge/codeArbiter --skill ca-btw --agent codex

Same command for any agent — swap --agent for claude-code, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Path: plugins/ca-codex/skills/ca-btw/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 138 · +1 this week
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# $ca-btw — quick Q&A The one exception to the slash-command pipeline. Answer the question and return. No skill is routed to, no agent dispatched, no file written. Always safe to invoke. ## Flow 1. Read `<project-root>/.codearbiter/` docs as needed to answer accurately — `CONTEXT.md`, `tech-stack.md`, `coding-standards.md`, `security-controls.md`, `decisions/`, `specs/`, `plans/`. 2. Answer directly and conversationally — not a formatted report. 3. If the answer is not in context, say so plainly. Never guess. ## Hard gate Read-only. MUST NOT write or modify any file, route to a skill, dispatch an agent, run tests, or resolve a `[CONFIRM-NN]`. If the question is really a request to build or fix something, say so and point to `$ca-feature` or `$ca-fix` — do not start implementation from `$ca-btw`.

What's inside
Steps it walks through
  1. Flow
  2. Hard gate
More from codeArbiter
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About this skill
What does the ca-btw skill do?

Lightweight Q&A about the project — answer from context and return, no routing, no state change.

How do I install it?

Run `npx skills add arbiterForge/codeArbiter --skill ca-btw --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From arbiterForge/codeArbiter, a repository with 138 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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