Agent Skills › coleam00/Archon › archon-cli

archon-cli

GitHub

Archon CLI技能，用于驱动AI工作流执行、管理运行状态（审批/取消等）、配置环境及编写优化工作流。适用于通过CLI自动化处理代码库任务、审查PR或修复Issue的场景。

.claude/skills/archon-cli/SKILL.md coleam00/Archon

Trigger Scenarios

使用archon运行工作流管理运行实例配置archon 创建工作流

Install

npx skills add coleam00/Archon --skill archon-cli -g -y

More Options

Non-standard path

npx skills add https://github.com/coleam00/Archon/tree/dev/.claude/skills/archon-cli -g -y

Use without installing

npx skills use coleam00/Archon@archon-cli

指定 Agent (Claude Code)

npx skills add coleam00/Archon --skill archon-cli -a claude-code -g -y

安装 repo 全部 skill

npx skills add coleam00/Archon --all -g -y

预览 repo 内 skill

npx skills add coleam00/Archon --list

SKILL.md

Frontmatter

{
    "name": "archon-cli",
    "description": "Drive Archon through its CLI: run AI workflows on a repo, manage those runs\n(inspect, approve, reject, cancel, resume), set up Archon or change its config,\nauthor new workflows, and improve workflow prompts. Use when the user says \"use archon\", \"run archon\",\n\"archon workflow\", \"fix issue #N with archon\", \"have archon review this PR\",\n\"what's running \/ check run <id>\", \"approve\/reject\/cancel\/resume that run\",\n\"set up archon\", \"configure archon\", \"change my archon config\",\n\"create a workflow\", \"author a workflow\", or asks how to write a better Archon prompt.\nNOT for: doing the coding work yourself — Archon delegates it to isolated runs.\n",
    "argument-hint": "[workflow | run-id | intent]"
}

Archon CLI

Archon runs multi-step AI workflows through the archon CLI. Git projects use isolated worktrees by default; registered folder projects run in place. This skill has five capabilities; route by intent:

User wants to...	Read
Run workflows on real work	`running-workflows/running-workflows.md`
Manage existing runs (inspect/approve/reject/cancel/resume)	`manage-run/manage-runs.md`
Set up Archon or change config	`setup-and-config/setup-and-config.md`
Author a new workflow	`authoring-workflows/authoring-workflows.md` (+ its `node-reference.md`)
Improve prompts for workflow nodes or run messages	`prompting-mistakes/prompting-mistakes.md`

Routing rules:

Intent is clear from the request ("build me a workflow for X", "run archon-ship on issue #42") → route directly. Do not ask.
Genuinely ambiguous → ask the user which capability they want, listing these five.
First contact with an unconfigured machine → setup-and-config/setup-and-config.md before anything else.

Quick spine: running a workflow

Most requests land here. The short version; details in the running reference:

Discover what exists: archon workflow list. Map the user's intent to a workflow by reading descriptions — never assume names from memory.

Invoke detached by default (workflows are long-running):

archon workflow run <workflow> --branch <branch-name> "<the work, as a clear message>" --detach

Find the run id and monitor: archon workflow runs --json, then archon workflow get <run-id> --json.
When a run pauses at a gate, resolve it deliberately: see manage-run/manage-runs.md.

Three hard rules:

A fresh launch of an interactive-class workflow refuses --detach. Run that launch in the foreground as a background task of your harness. Once the run pauses, resume/approve/reject/respond --detach are supported continuation actions.
Prefer --detach if the workflow is not interactive.
One workflow per shell; multiple tasks = separate invocations, separate branches.

Gotchas

The current directory scopes every command to that project. For a git project, run from the repo root. Register a non-git project with workflow run --folder.
A completed run does not mean the work succeeded. Use workflow get <run-id> --json for the normalized outcome and leave_behind.artifactFiles; use a separate --verbose --json call for node summaries.
Prefer --json whenever you will parse output.

Resources

running-workflows/running-workflows.md — discovery, invocation, isolation, monitoring
manage-run/manage-runs.md — every run-control verb, gate semantics, JSON shapes
manage-run/troubleshooting.md — log locations, JSONL event types, jq recipes
setup-and-config/setup-and-config.md — install, doctor, config.yaml scopes, provider auth
authoring-workflows/authoring-workflows.md — designing a workflow: primitives, gates, prompts
prompting-mistakes/prompting-mistakes.md — common prompt mistakes, for authored nodes and for the messages you pass when invoking workflows