Init Project

VerifiedSafe

Greenfield project initializer. Turns an idea into a structured repo by composing existing skills, with trigger and value gates, ADR recording, and handoff to build loop.

Sby Skills Guide Bot
DevelopmentIntermediate
7/23/2026
Claude Code
#greenfield#project-scaffolding#spec-driven#adr#workflow-orchestration

Recommended for

Automated summary

Turns a greenfield idea into a structured repo by gating on real architectural decisions, recording a foundation (ADR plus reference.md), and handing a walking-skeleton spec to the build loop.

Strengths

  • An explicit trigger gate that sends scripts, spikes and throwaways straight to scaffolding instead of forcing the full ceremony
  • Composes existing skills (new-spec, work-loop, receive-brief) by reference rather than restating their procedures
  • Frames its five phases as fluid revisits rather than a rigid waterfall, so amending the foundation mid-build is expected
  • Deliberate symmetry with adapt-to-project: both front doors converge on brief → reference.md → spec → low-level design → work-loop

Limitations

  • The provided documentation cuts off mid-way through stage 2 (value gate), so the full downstream sequence is not specified here
  • It only works with its companion skills installed and performs no discovery or code generation of its own
  • It is not an autonomous generator: a human must feed in discovery material and stay in the loop
When to use it

Use it when starting a brand-new repository from an idea and real stack, structure or tooling decisions lie ahead.

When not to use it

Avoid it inside an existing repo (use adapt-to-project), for authoring a single feature (use new-spec), or for one-off scripts with no architectural decisions.

Security analysis

Safe
Quality score80/100

This is a pure process-methodology document that orchestrates other named skills; it declares no tools, executes no commands, touches no network or filesystem directly, and contains no instructions to exfiltrate data, disable safeguards, or run destructive operations. The only notable characteristic is repeated admonitions to stay human-in-the-loop and to hand off to other skills, which is a governance posture rather than an execution risk.

No concerns found

How this analysis is made

Examples

Bootstrap a service idea
Start a new project: a webhook ingestion service with a queue, a worker, and a datastore. Take me through init-project so we end up with a repo, an ADR and a first walking skeleton.
Greenfield from a brief
Here's the brief we received — greenfield init this into a new repo, record the foundation decisions, and hand the walking skeleton to the build loop.
Gate check
I want to write a small script that renames files in a folder — should I run init-project, or just scaffold it directly?

name: init-project description: Use this skill to turn an idea into a structured new repo. It runs a trigger gate (throwaways and single scripts skip it), a value gate over fed-in discovery, records a foundation (an ADR plus a reference.md golden path), authors a walking-skeleton spec via new-spec and hands the build to work-loop, then hands off to the normal build loop. Triggers on "start a new project", "greenfield init", "idea to repo", "bootstrap a new codebase". Do NOT use inside an existing repo (use adapt-to-project) or to author one feature (use new-spec).

Skill: init-project

The greenfield front door. An idea arrives and there is no repo yet — no foundation recorded, no first slice built. The temptation is to yolo a throwaway prototype, get it sort-of working, then retrofit structure and lose the rationale. This skill gives that path a home: it turns an idea into a structured repo by composing the skills the repo already owns. It orchestrates; it does not reinvent, and it is not an autonomous code generator — the human stays in the loop and the existing skills do the work.

It is the twin of adapt-to-project (the brownfield front door, for an existing repo). Both converge on the same downstream loop: brief → reference.md → spec → low-level design → work-loop.

When to invoke

Invoke when the unit of work is a brand-new repo from an idea and there are real stack / structure / tooling decisions ahead — a service, a library, a multi-component app someone will maintain. The tells: "start a new project", "bootstrap this idea into a repo", "we're greenfielding X".

Do not use it when:

  • You are inside an existing codebase → adapt-to-project is the brownfield front door.
  • You want to author one feature from scratch → new-spec.
  • The thing ahead is a script, a spike, or a throwaway with no real structural decisions → the trigger gate (stage 1) sends it straight to scaffolding; don't force the flow onto it.

The flow — five phases, fluid not waterfall

The five stages below are fluid phases of attention, not a waterfall. You revisit them as understanding firms up — authoring the walking skeleton routinely sends you back to amend the foundation, and that's the flow working, not failing. Each phase practises a scoped handoff: it passes the next phase only the artifacts that phase needs, nothing more.

The skill composes existing skills and assets by reference — it names them and hands off to them; it never restates their procedures and never imports their code.

1. Trigger gate — run this first

Before any other work, decide whether the flow even applies:

  • Real stack / structure / tooling decisions ahead? (Which runtime? How is it partitioned? What's the persistence and transport story?) → continue to stage 2.
  • A script, a spike, or a throwaway? → scaffold it directly and skip the rest of this skill. The flow's ceremony is wasted on code nobody will maintain.

Worked example. "A 40-line script to rename files in a folder" → no architecture decisions → skip the flow, just write the script. "A webhook ingestion service with a queue, a worker, and a datastore" → real decisions → continue.

2. Value gate — over fed-in discovery

Discovery is fed in, never performed here (see anti-patterns). Consume a discovery shape from one of four upstream sources:

  • the research skill's output (when the research pack is installed),
  • an intent shaped by frame-intent (when the product-engineering pack is installed) — its frame → de-risk → decompose loop hands its leaf in here: at app scale a feature-level leaf intent is a core brief,
  • a provided PRD, or
  • a brief produced by receive-brief.

The product-engineering source is optional upstream, named the same way the research source is — "when the pack is installed". A core-only adopter has the other three and reads this one as a clearly-optional source, not a dangling reference.

From that input, derive the business value and the MVP: what outcome this serves and the smallest thing that delivers it. Gate on it — if you cannot state the business value plainly, pause and send discovery back upstream rather than guessing. Don't paper over a thin idea with a plausible mission.

The phase's output is the first brief (docs/product/briefs/<slug>.md, the artifact receive-brief owns) — the what / why that the rest of the flow and the downstream loop read. Hand that brief forward; nothing else.

3. Foundation — decide the stack, record the rationale

Choose the stack and architecture, and record the decision with its rationale — a foundation you can hold later work to. Two artifacts:

  • An ADR capturing what you chose, why, the alternatives weighed, and a re-evaluation date. A stack chosen with no recorded rationale is the thing to stop and fix before going further.
  • docs/architecture/reference.md — the normative golden path (constraints, solution strategy, building blocks, cross-cutting standards). Instantiate it from the arc42 reference.md template the adapt-to-project skill bundles (the same golden-path template its reference-architecture harvest fills) — here you fill it forward from a decision rather than harvesting it from existing code. The core methodology stays stack-neutral; the chosen stack is yours, recorded in your ADR and your reference.md. If the project will deploy, this is also the moment to record the deployment platform and where verification tooling will live in the reference.md slots (and the matching one-liners in the AGENTS.md infra block) — optional grounding the work-loop infra preflight reads if present, never a prerequisite.

Hand the foundation forward as the steering every later design conforms to.

4. Walking skeleton — author the spec, hand the build to work-loop

Author a walking skeleton: a thin, end-to-end slice that links the main architectural components — the smallest thing that exercises the real wiring (an inbound request reaching a real datastore through the real transport, say), not a sketch and not a throwaway. It is kept and minimal, held to a real feature contract.

  • Author it as a single spec via new-spec — one thin slice, with its own acceptance criteria and Shape:.
  • Hand the build to work-loop. This skill orchestrates; work-loop executes. Do not build the skeleton here — that would duplicate the loop the repo already owns.

If building the skeleton reveals the foundation was wrong, go back to stage 3 and amend it — that's the fluid-phase posture, not a failure.

5. Handoff — into the normal build loop

From the skeleton onward, the project runs the ordinary loop: brief → spec → low-level design → work-loop, with reference.md in place for every feature's low-level design to conform to. The greenfield front door has done its job: a recorded foundation, a validated walking skeleton, and the normal loop running — instead of a throwaway someone has to clean up later.

Anti-patterns to refuse

  • Performing discovery / research yourself. Discovery is fed in (stage 2) from the research pack, an intent from frame-intent (when product-engineering is installed), a PRD, or a receive-brief brief. This skill consumes a discovery shape; it does not own the research phase and does not shape product intent itself.
  • Building an autonomous multi-agent "software company" generator. The human stays in the loop and the existing skills do the work. The wins of a swarm of agents auto-generating a codebase are survivorship-bias stories; the boring, composed, human-in-the-loop path is the one that ships maintainable code.
  • Forcing the flow onto throwaways. The trigger gate exists to keep scripts and spikes on the fast path. A flow that adds ceremony to a 40-line script is friction, not discipline.
  • Producing a throwaway prototype in place of the walking skeleton. The skeleton is kept and minimal, authored as a real spec and built through work-loop — not a sketch you'll discard.
  • Choosing a stack with no recorded rationale. The foundation's ADR comes before the skeleton is authored, so the why survives.
  • Adding a new top-level directory, or importing another pack's code. This skill lives beside the other core skills and composes the rest by reference, not import — it names research, receive-brief, the arc42 reference.md template, new-spec, and work-loop, and hands off to them. The product-engineering seam is by reference too: frame-intent is named only as an upstream discovery shape this skill receives (when that pack is installed), never imported.
  • Restating what a composed skill already documents. Reference new-spec, work-loop, and the brief; don't copy their procedures into this file.

When this skill is wrong

If you're inside an existing repo, this is the wrong door — use adapt-to-project. If the idea is a one-off script, the trigger gate should already have sent you to scaffold it directly. And if the flow ever feels like ceremony getting in the way of a genuinely small thing, trust the trigger gate over the procedure.

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/init-project-mrx3xwjv/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/init-project-mrx3xwjv' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/init-project-mrx3xwjv/download' --output '.skill-downloads/init-project-mrx3xwjv/SKILL.md.part' && mv '.skill-downloads/init-project-mrx3xwjv/SKILL.md.part' '.skill-downloads/init-project-mrx3xwjv/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.

Claude Code
test -f '.skill-downloads/init-project-mrx3xwjv/SKILL.md' && test -s '.skill-downloads/init-project-mrx3xwjv/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/init-project' && cp -R '.skill-downloads/init-project-mrx3xwjv' '.claude/skills/init-project'

OpenSkills

OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.

Official OpenSkills installation
openskills install './.skill-downloads/init-project-mrx3xwjv'

openskills read 'init-project-mrx3xwjv'

Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.

For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.

openskills sync

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/init-project-mrx3xwjv/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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