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nac-onboarding

Install and configure Arcee AI nac, get the user into the nac dashboard, and connect their MCP client to nac. Use when a user asks to get started with nac, connect nac to an agent, add MCP servers, or expose nac's MCP server to Claude Code, Codex, OpenCode, or another MCP client.

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arcee-ai/nac스타 291(GitHub 291 + cccskills 0)

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  • SKILL.md2.6 KB
  • agents/openai.yaml188 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

NAC onboarding

Get the user to a running nac dashboard as fast as possible, then connect their MCP client. Authentication, model choice, and MCP server setup all happen in the dashboard UI — do not walk the user through them in chat.

Keep credentials private: if the user ever needs to enter a key or complete a device login, they do it themselves in the UI or their own shell; never request a token in chat or write one into a tracked file.

1. Install and launch

  1. Check whether nac-web is available with nac-web --version.

  2. If it is missing, install the latest stable release:

    curl -fsSL https://raw.githubusercontent.com/arcee-ai/nac/main/scripts/install.sh | sh

  3. Start nac from the repository the user wants it to work on:

    nac-web

    Use nac-web -C /path/to/project -y when a non-interactive launch is useful. Keep the process running.

  4. Hand the user the dashboard URL (http://127.0.0.1:3210 by default) and confirm it responds. Everything from here — signing in with Arcee or ChatGPT, picking a model, adding MCP servers from the MCP Library — is done in the UI. Point the user at the dashboard's auth and model picker and let them drive.

2. Connect this MCP client to nac

The MCP client is the harness running this session — the agent the user prompted to install the skill. Do not ask which client to use; configure the one you are running in. Add this streamable-HTTP server to your own harness's MCP configuration:

URL: http://127.0.0.1:3210/mcp
Transport: streamable HTTP

This exposes nac session-management tools to the client agent. The listener is intended for the same machine and has no built-in authentication; do not expose it through a tunnel or reverse proxy unless the user adds strong access control.

Use the client's normal MCP configuration mechanism and adapt its configuration syntax around the URL above. Restart or reload the client if it does not pick up the server automatically, then confirm the client can see nac's tools.

Completion checklist

Before calling setup complete, confirm that:

  • nac-web is installed and running, and the dashboard URL responds.
  • The user is in the dashboard and can reach sign-in and the model picker themselves.
  • nac's /mcp endpoint is configured in this harness's MCP client configuration and nac's tools are visible.

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같은 저장소의 스킬

qa

무료

Run scalable, isolated live QA for nac development. The top-level local orchestrator must parse n (default 4), dispatch one setup worker with this skill, copy its n assignment contracts verbatim into exactly n parallel test workers with this skill, then dispatch one aggregate worker with this skill using all test episodes; setup selects or creates a clean worktree for the requested revision, every phase changes to that worktree, slots and paths stay immutable after setup, and preloaded workers never dispatch.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

arcee-ai/nac2912026년 10월 26일 업데이트

release

무료

Cut and publish a full stable NAC release after main, release-PR, and publication CI pass. Use when a maintainer asks for a stable version bump, tag, or GitHub Release. Never use for release candidates; NAC RC releases are automated.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

arcee-ai/nac2912026년 10월 26일 업데이트

triage

무료

Triage a GitHub repository's open issues by finding exact duplicates, rejecting evidenceably off-base requests, requesting concrete clarification, applying only existing labels, and opening a linked root-cause issue when multiple reports share one underlying invariant failure. Use when a maintainer asks to triage issues or invokes triage.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

arcee-ai/nac2912026년 10월 26일 업데이트

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