agentleFS
The-AI-ThinkerThe-AI-Thinker/claude-code-pm-starter/.claude/skills/setup-workspace/SKILL.md

setup-workspace

Skill13 starsChanged 3 months agoMITView on GitHub

Personalize this starter workspace. Interviews the user about their company, product, users, and preferences, then fills in CLAUDE.md and the context files and renames the example project. Use on first launch, or whenever the user wants to re-run onboarding.

7 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

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

  • 0

    Common

    Most of the 7 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Ask in rounds, one topic at a time, in this order: company, product, users, working and writing preferences, current projects.

    line 12

“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “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

Setup workspace

Turn the template files into the user's own workspace through a short interview. The user answers in plain language; you do all the writing.

How to run the interview

  • Ask in rounds, one topic at a time, in this order: company, product, users, working and writing preferences, current projects. A few questions per round, not a wall of them.
  • Plain questions a busy person can answer from memory: "What does your company sell, and to whom?", "Who do you picture when you make product decisions?", "What's a correction you find yourself giving on every AI draft?"
  • Accept short answers and draft from them. Show what you wrote and ask for a yes or a fix before moving to the next topic. The user's words beat template language; keep their phrasing where it's clear.
  • Skipping is fine. If the user doesn't know or doesn't care about a section, leave the template placeholder in place and move on. An honest placeholder beats invented content.

What to fill

  1. CLAUDE.md — replace the first line with who the user actually is (role, company). Keep the file short; it's a map, not a manual.
  2. context/company.md — what the company does, how it's organized, competitors, vocabulary.
  3. context/product.md — what the product is, positioning, current strategy, key metrics (names and where they live, not live numbers).
  4. context/users.md — segments, primary persona, strongest findings.
  5. context/preferences.md — writing preferences and working preferences in the user's own words. Replace the template examples with theirs; delete examples they don't want.
  6. projects/example-project/ — ask for the user's most active real project. Rename the folder to a short slug of it, fill brief.md from what they tell you, and seed tasks.md with their current next steps. If they'd rather start empty, leave the example in place.

Finish

Show a short summary of every file you touched. Then suggest one concrete next move: give the workspace a real task, for example /status-update or a first draft the user owes someone. Remind them once: when they correct something you got wrong, /file-feedback makes the correction permanent.

Download now (ZIP)

Does it work?

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

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • 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.