project-scaffold
Skill0 starsChanged 12 days agoMITView on GitHub
Scaffold a new project of any kind — pick the layout, stack defaults, and agent layer, and get to the first green run. Covers TypeScript/Node, Astro/Cloudflare, Python, monorepo, and agent-only/skill repos.
18 other projects use a version of this.
Adopted by
Most recently taken up by
- bradydwardai/claude-skillstheir own version, first seen Nov 8, 2026
- Hadi99K/AGENT_SKILLStheir own version, first seen Nov 1, 2026
- okfriansyah-moh/agentic-workflowtheir own version, first seen Oct 25, 2026
- kenming/project-scaffold-skilltheir own version, first seen Oct 20, 2026
- BojanKocijan/design-forgetheir own version, first seen Oct 19, 2026
- noahcostakes/claudebrain-templatetheir own version, first seen Oct 15, 2026
Other versions18 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 18
- RandallLiuXin/GodotMaker★ 555same name
- ojiudezue/productmind-skills★ 81same name
- kenming/project-scaffold-skill★ 18same name
- BojanKocijan/bk-charterline★ 4same name
- BojanKocijan/design-forge★ 4same name
- Hadi99K/AGENT_SKILLS★ 3same name
- GaryFigno/Dr.WangAgent★ 2same name
- jarxunlai/My-skills★ 2same name
- abdullah1854/ClaudeSuperSkills★ 1same name
- carlosedm10/skills★ 1same name
8 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository11 other files it gives its agents.
- AGENTS.mdAGENTS.md
- agent-rulesSkill
- code-discoverySkill
- designSkill
- repo-alignSkill
- repo-auditSkill
- repo-initSkill
- skills-installSkill
- standardSkill
- verify-changeSkill
- workflowSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 1 is distinctive, and 3 are very specific to this project.
0
Common
Most of the 14 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 10
Start a project that is already shaped the way an agent can work in it.
- Very specific: line 13
Read DEFAULTS.md before choosing anything.
- Distinctive: line 61
Ask this and wait for the answer before writing anything below:
- Very specific: line 67
Ask once and wait. ~/dotfiles existing on the machine is not a yes.
“Common” is measured: kept by at least 6 in 10 of the 14 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.
Files
Project Scaffold
Start a project that is already shaped the way an agent can work in it. The goal is not a
template — it is a first green run you can hand to verify-change as evidence.
Read DEFAULTS.md before choosing anything. It holds the stack choices and why
they are defaults rather than preferences.
1. Classify the project
One question decides everything else: what has to exist when the project is done?
| Kind | Answer | Target |
| Web app, one deployable | A URL | targets/web-app.md |
| Multi-package repo, several deployables | Several URLs from one repo | targets/monorepo.md |
| CLI, service, script, data work | A binary or a running process | targets/python.md |
| Skills, rules, prompts — no build | Files an agent reads | targets/agent-only.md |
| Docs vault, research corpus, writing, notes | Files a human reads, that must stay valid | targets/agent-only.md § Non-code repos |
| Astro SSR on Cloudflare Workers | A Worker + Pages | targets/cloudflare.md |
Ambiguous? Pick by deployable count, not by language. One deployable is a web app even if it has twenty folders. Several is a monorepo even if they share a language.
No deployable at all is not a lesser project. A vault, a corpus or a book has the same three
needs as a service — a stated structure, an agent layer, and one command that proves it is still
valid. Only the third differs: a link check or schema lint instead of a build. Do not scaffold a
package.json into a notes repo to satisfy a template.
Done when you can name the target file and the single command that will prove the project is valid.
2. Write the structure before the content
Each target file gives the directory tree with a reason per folder. Copy it, then delete folders you cannot justify in one line. An unjustified folder becomes a home for nothing.
Three folders every non-trivial project gets, whatever the stack:
| Folder | Holds | Why it exists |
docs/ | Decisions, architecture, environment, testing | The place AGENTS.md points at instead of growing |
scripts/ | Repeatable commands a human or CI runs | Anything run twice stops being a one-liner in a README |
.github/workflows/ | CI | The green check verify-change reads |
Done when the tree has a stated reason for every top-level folder and no folder is empty.
3. Lay down the agent layer
Per skill repo-init.
Ask about dotfiles first
Ask this and wait for the answer before writing anything below:
Does this project use your
ekajaya740/dotfiles? They are tuned for omp — omp-jev routing, 9router model aliases, theclaude/andjev/deploy scripts — so a repo on another harness inherits wiring it will never read.
Ask once and wait. ~/dotfiles existing on the machine is not a yes.
| Answer | What changes |
| Yes | Point at the machine layer, never copy it: AGENTS.md names ~/dotfiles and bash ~/dotfiles/bootstrap.sh as the machine setup step, and the harness shims come from there. |
| No | Write CLAUDE.md / .cursor/rules by hand, and record no dotfiles dependency. |
Done when AGENTS.md carries one line under the stack section: either "machine layer:
ekajaya740/dotfiles (omp-tuned)" or "self-contained, no dotfiles dependency".
Then the layer itself, minimum, in this order:
AGENTS.md— stack, the green-command table, hard rules, out-of-bounds.CLAUDE.md→@AGENTS.md(and any other harness shim the user needs)..agents/skills/+skills-lock.json— the project-local skill store, pinned and reproducible.docs/architecture.md— only if the project has more than one module..gitignore— before the first commit, never after. Ignore.agents/and.claude/skills/; trackskills-lock.json, which no rule ignores.
Done when a fresh agent could run the project from AGENTS.md alone, and a clean checkout
restores its skills with one command.
4. Get green once, deliberately
Install, build, typecheck, test, lint — whatever the target's table lists. Fix what fails now, while the project is small enough to understand completely. A scaffold that ships yellow becomes a repo where yellow is normal and nobody can tell a new break from the old one.
Record the exact commands and their output in the reply. That is the evidence verify-change
will accept later.
Done when a clean checkout runs the green command to exit 0, and you have pasted the line that proves it.
5. Commit the baseline
One commit, message stating the stack and that it is a working baseline. Not "initial commit" — a year later that tells nobody what a working baseline was.
What not to scaffold
- No placeholder files. An empty
utils.tsis a promise nobody keeps. Delete it; adding a file later is one command. - No example code. A sample route nobody asked for is code that has to be maintained and reviewed and teaches the wrong shape.
- No test file with a fake assertion.
expect(true).toBe(true)is worse than no test: it makes the suite green while proving nothing. - No license, README badges, or CI matrix the user did not ask for. Ask once, in the reply, then drop it.
Related
- Stack choices and their reasons →
DEFAULTS.md - The agent layer in detail → skill
repo-init, and itsSKILLS.mdfor the pin set - Proving the result → skill
verify-change
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
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.

