Skills

Archon Workflows

Runs AI workflows on a repo and answers runs that need a decision via the Archon CLI.

Install

npx skills add coleam00/Archon --skill archon-cli -g -a claude-code -y
Repository
coleam00/Archon23.8k
Category
AI and agents
Updated
4d ago
License
MIT
Context cost
Lightabout 1,358 tokens
Runs scripts
No, instructions only

What it does

Drive Archon through its CLI: run AI workflows on a repo, watch and answer the runs that need a decision, drive the SDLC pack's queues (intake, build queue, merge queue, discoveries), set up Archon or change its config, and author and validate workflows. Use when the user says "use archon", "run archon", "archon workflow", "fix issue #N with archon", "have archon review this PR", "what's running / check run <id>", "approve/reject/answer/cancel/resume that run", "run the build queue", "drain discoveries", "set up archon", "configure archon", "change my archon config", "create a workflow", "author a workflow", or asks how to write a better Archon prompt. NOT for: doing the coding work yourself. Archon delegates it to isolated runs.

Archon CLI

Archon runs multi-step AI workflows through the archon CLI. Git projects run in isolated worktrees by default; registered folder projects run in place. You sit on top of the runs: you write the brief, launch, watch one stream, answer the decisions that reach you, and read what each run left behind.

Route by intent:

The user wants to...Read
Run a workflow on real workoperate/running.md
Inspect, answer, cancel or resume runsoperate/managing-runs.md
Drive the SDLC pack's queuesoperate/queues.md
Find out why a run failed or hangsoperate/troubleshooting.md
Set up Archon or change configsetup/setup-and-config.md
Author or change a workflowauthoring/authoring-workflows.md (then node-reference.md and variables.md in the same folder)
Improve a node prompt or a run messageauthoring/prompting-mistakes.md
  • When the intent is clear ("build me a workflow for X", "run archon-ship on issue #42"), go straight to the reference. Do not ask.
  • When it is ambiguous, ask which of these the user wants.
  • On a machine where archon doctor fails, start with setup/setup-and-config.md.

The operating loop

  1. Discover. archon workflow list --json gives compact descriptions. For each plausible candidate, read the full description with archon workflow list <name> --full. Choose from full descriptions, never from names you remember.
  2. Check the brief. The message, issue body or document the run reads is the contract the run is measured against. It must state the problem, why it is worth solving, why now, the desired outcome, the invariants and the acceptance. If any is missing, say which, propose wording, and get the user's agreement before launching. operate/running.md has the full check.
  3. Launch detached. Pass the work as a message, the workflow's declared inputs with --input, or both:
Read the whole SKILL.md on GitHub

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