agentleFS
XORwellXORwell/archeflow/.cursor/skills/archeflow-run/SKILL.md

archeflow-run

Skill0 starsChanged 52 days agoMITView on GitHub

Run one task through ArcheFlow's Plan, Do, Check, Act on its own git branch (Cursor adapter for the core run skill). Usage: /archeflow-run <task> [--workflow fast|standard|thorough] [--dry-run] [--start-from plan|do|check|act]

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Read <archeflow-root>/skills/run/SKILL.md and follow it.

    line 8

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

ArcheFlow Run (Cursor)

Read <archeflow-root>/skills/run/SKILL.md and follow it. The Maker works in the worktree that archeflow-git.sh worktree creates: tell the Maker's Task to cd to that path for every command. Cursor has no isolation parameter, and none is needed.

Find <archeflow-root>

The ArcheFlow checkout: the directory that contains lib/archeflow-event.sh, skills/ and agents/. If this file is <root>/.cursor/skills/<name>/SKILL.md, it is three levels up. Otherwise ask the user where their ArcheFlow checkout is. Use its absolute path for every <archeflow-root> below and in the loaded skill.

Cursor tool mapping

The core skill saysIn Cursor
spawn an agent with subagent_type: "archeflow:<role>"Task(subagent_type="generalPurpose", prompt="<full text of <archeflow-root>/agents/<role>.md>\n\n---\n\n<the prompt from the skill>")
spawn several agents in one messageseveral Task calls in one message
run a commandShell(command="..."), from the project root
write a file with your file toolWrite

Everything else (steps, commands, artifacts, confirmations) is exactly as in the core skill.

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Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

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  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.