prepare-worktree SKILL.md skillA

prepare-worktree from vintasoftware/vinta-ai-workflows is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add vintasoftware/vinta-ai-workflows/prepare-worktree@git:20261004.6f867b7

Pins git:20261004.6f867b7 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
vintasoftware/vinta-ai-workflows
Path
skills/vinta-derive-skills/resources/foundation-skills/prepare-worktree/SKILL.md
Versions recorded
5
Latest version
git:20261004.6f867b7, committed Oct 4, 2026
First version recorded
Sep 12, 2026
Size
56,772 bytes
Repository stars
12
License
MIT

Provision a fully-runnable git worktree for parallel feature work so a long-running plan (or experiment) can build, test, lint, run migrations, and hit databases without disturbing the main checkout — or other parallel worktrees. Reads the active plan (when given one) plus the project's `.gitignore`, package manifests, env templates, and docker config to decide what to copy (every dependency tree gets its own per-worktree copy, never a symlink), what to fork…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Prepare worktree

Provision a git worktree the agent (or human) can `cd` into and immediately `lint` / `test` / `build` / `migrate` / `run` against — without touching the main checkout, and without colliding with any other live worktree on the same machine.

A bare `git worktree add` is not enough. The runnable parts of any non-trivial app live in *ignored* files and dirs (`node_modules/`, `.env*`, `venv/`, `vendor/`, local SQLite DBs, `.localstack/`, `docker-compose.override.yml`, etc.). This skill walks those ignored paths and decides, per-path:

- **Copy** — every dependency tree (`node_modules/`, `vendor/`, `venv/`, …), always, whether or not the plan adds deps. Also anything the feature mutates (`.env` for a new var, the migrations dir). Copies are copy-on-write clones where the filesystem supports them, so they cost little disk. Dependency dirs are **never** symlinked, because tools resolve real paths. A symlinked `node_modules` sends bundler / test-runner / type-checker caches, `postinstall` output and any install back into the main checkout, where they collide with other worktrees and trip the sandbox.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add vintasoftware/vinta-ai-workflows/prepare-worktree@sha256:87adf7b1e72982ee

The line at the top of this page pins the label git:20261004.6f867b7, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_o2g5swgpvhkkj2a6.svg)](https://markdownregistry.com/a/art_o2g5swgpvhkkj2a6)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Sep 12, 2026 and Oct 4, 2026, about one every 5 days.

versioncommittedcommitsizeaudit
git:20261004.6f867b7 latest2026-10-04 6f867b7 56,772 BA view · diff
git:20261003.2fd4d012026-10-03 2fd4d01 56,518 BA view · diff
git:20261003.81d5d7e2026-10-03 81d5d7e 52,745 BA view · diff
git:20261003.b144de72026-10-03 b144de7 56,312 BA view · diff
git:20260912.4e6a0642026-09-12 4e6a064 52,539 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (56772 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

vintasoftware/vinta-ai-workflows · 12 stars · license MIT · pushed 2026-11-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_o2g5swgpvhkkj2a6
GET https://markdownregistry.com/api/v1/resolve?ref=vintasoftware/vinta-ai-workflows/prepare-worktree
GET https://markdownregistry.com/api/v1/blob/87adf7b1e72982ee1f7b2963620acbc122cc4ed0e1655bb9716cd14d0d3d2a5e

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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