Agent skill

Setup Repo

by imbue-ai in imbue-ai/sculptor

Create or update the repo's Sculptor configs (.sculptor/code.md, .sculptor/testing.md, .sculptor/docs.md).

MITAuto-check: notes

Install Setup Repo

skills CLI
$ npx skills add imbue-ai/sculptor --skill setup-repo -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install imbue-ai/sculptor setup-repo --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/imbue-ai/sculptor.git skills-src && mkdir -p .claude/skills && cp -r skills-src/sculptor/sculptor-workflow/skills/setup-repo .claude/skills/setup-repo && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
setup-repo
GitHub stars
238
Token cost
~5.1k tokens
SKILL.md length
1,828 words
Files
1
Skills in repo
29
Repo updated
First seen
Licence
MIT

At a glance

Create or update the repo's Sculptor configs (.sculptor/code.md, .sculptor/testing.md, .sculptor/docs.md).

  • Works in 5 steps: Check for existing configs → Ask the user how to proceed → Gather information → …
  • SKILL.md covers Step 1: Check for existing…, Step 2: Ask the user how to…, Step 3: Gather information and Step 4: Write the configs, plus 1 more section
  • Calls gh, git and just

What it does

Setup Repo is an agent skill from imbue-ai/sculptor. Create or update the repo's Sculptor configs (.sculptor/code.md, .sculptor/testing.md, .sculptor/docs.md). These files teach the sculptor-workflow skills how to build, run, test, and where to write docs in this specific codebase. Run this to set up a new repo, or to update the configs when your setup changes.

Its SKILL.md is about 5.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Build product with grounded, parallel coding agents. The licence is MIT.

Example prompts

  • “/setup-repo”

Requirements

  • Node.js

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Check for existing configs
  2. Ask the user how to proceed
  3. Gather information
  4. Write the configs
  5. Write, confirm, and commit

What it can do on your machine

Read from SKILL.md and the folder at commit f847102. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • gh
    • git
    • just
    • npm
    • cargo
    • glab
    • pytest
    • uv
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use gh, git, npm, glab, uv and npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Setup Repo loads about 5.1k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 1,828 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~5.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:96
    ars, config files, or services needed | ".env file required", "needs Postgres running" |

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from imbue-ai/sculptor at commit f847102, republished under its MIT licence (© imbue-ai). 1,828 words, ~5,133 tokens.

Download SKILL.mdSave it as .claude/skills/setup-repo/SKILL.md (or your agent's skills folder).
name
setup-repo
description
Create or update the repo's Sculptor configs (.sculptor/code.md, .sculptor/testing.md, .sculptor/docs.md). These files teach the sculptor-workflow skills how to build, run, test, and where to write docs in this specific codebase. Run this to set up a new repo, or to update the configs when your setup changes.

Setup Repo

Create or update the three Sculptor config files:

  • .sculptor/code.md — codebase structure, branch naming, build/run commands, pre-commit verification
  • .sculptor/testing.md — test framework, test strategy, bug tracking, manual testing, visual verification
  • .sculptor/docs.md — where specs and their associated docs live, where to find UI to imitate (for mocks), which skill to invoke for the code-review pass

The configs deliberately cover locations and operational commands, not document structure or writing conventions. Spec, mock, architecture, and plan structure is baked into the workflow skills — to keep agent behaviour consistent across repos.

Other skills (/sculptor-workflow:fix-bug, /sculptor-workflow:spec, /sculptor-workflow:mock, /sculptor-workflow:architect, /sculptor-workflow:plan, /sculptor-workflow:review) read these configs.

Step 1: Check for existing configs

Read .sculptor/code.md, .sculptor/testing.md, and .sculptor/docs.md from the repo root.

  • If all three exist: you are updating. Show the user what's currently configured and ask what they'd like to change. Skip to Step 3 to make the edits.
  • If some exist but not others: read the existing ones for context, then continue to Step 2 to create the missing ones. You can also offer to update the existing ones at the same time.
  • If none exist: you are setting up from scratch. Continue to Step 2.

Step 2: Ask the user how to proceed

Ask with your question tool:

I'd like to set up Sculptor configs for this repo so I can build, test, and fix bugs effectively. This is a one-time setup — the configs will be saved to .sculptor/code.md, .sculptor/testing.md, and .sculptor/docs.md for future use.

How would you like to proceed?

Option A: I'll explore the repo to auto-detect your project structure, build commands, test framework, and conventions, then confirm with you.

Option B: You tell me directly — maybe you already have docs, skills, or specific instructions you'd like me to follow.

Option C: A mix — I'll auto-detect what I can, then ask you about the rest.

Wait for the user's response before proceeding.

Step 3: Gather information

Based on the user's choice, gather the information below. For auto-detection, look at package.json, pyproject.toml, Cargo.toml, Makefile, justfile, CLAUDE.md, existing test files, directory structure, and CI config.

Cap auto-detection effort: if you haven't found clear answers after reading ~10 files, stop and ask the user.

Code config information

Required:

TopicWhat to learnExample
Code structureWhere source code lives, key directoriessrc/, lib/, backend vs frontend split
Branch namingConvention for new branches (bug fixes, features, etc.)<name>/bugs/<ticket-id>, fix/<description>, <name>/<feature>
BuildHow to build the projectnpm run build, cargo build, just rebuild
RunHow to run the app locallynpm run dev, just start, cargo run
Pre-commit verificationCommands to run before committingjust format && just check && just test-unit
Publishing changesHow to push the branch and create an MR/PR, the team's merge-time defaults (delete source branch, squash, auto-merge, draft), and whether autonomous skills are allowed to publish without askinggit push -u origin <branch> + glab mr create --target-branch main --remove-source-branch (autonomous skills append --title / --description at runtime); gh pr create --base main (autonomous skills append --title / --body); or "manual only — don't auto-publish"
Proof of workWhat evidence the team requires in every MR/PR body: how to capture before/after screenshots for UI-visible bugs, what test output to paste, and any other artifacts"Use /auto-qa-changes for before/after screenshots, paste the failing-then-passing test output"; "screen recordings via QuickTime"; "test output only — no UI here"

Optional (ask about these — the user may or may not have them):

TopicWhat to learnExample
DependenciesHow to install/update dependenciesnpm install, uv sync, cargo fetch
Environment setupEnv vars, config files, or services needed".env file required", "needs Postgres running"
DeploymentHow to deploy or release"Push to main triggers CI deploy"

Publishing changes — what to ask:

This section is read by autonomous workflows (e.g. /fix-bug --autonomous) to decide whether and how to push and open an MR/PR on the user's behalf. Ask the user enough to fill in:

  • Push command — usually git push -u origin <branch>, but some teams push to a different remote.
  • MR/PR tool — glab (GitLab), gh (GitHub), or manual (no CLI; the team opens the MR/PR in the browser).
  • Target branch — usually main, sometimes master or a release branch.
  • Title and body — autonomous skills compose a detailed title and body themselves (see ## Proof of Work below) and pass them via --title / --description (glab) or --title / --body (gh). The captured command is the base command only — do NOT include --fill in it, because --fill would substitute a thin commit message and defeat the Proof of Work template.
  • Auto-publish allowed — yes or no. If no, autonomous workflows must stop after committing the fix and leave publishing to the user. Default to no if the user is unsure — they can flip it later.
  • Merge defaults — properties of the MR/PR set at creation time. Ask each as a plain yes/no:
    • Delete source branch on merge?
    • Squash on merge?
    • Auto-merge when CI passes?
    • Open as draft?
  • Conventions (optional) — required labels, reviewers, title format, body template.

Assemble the MR/PR command from the tool + target branch + merge defaults using the table below. Write the assembled command into .sculptor/code.md so the autonomous workflow can run it verbatim — don't make the workflow re-derive flags at runtime.

Defaultglab mr create flaggh pr create flag
Target branch--target-branch <name>--base <name>
Delete source branch on merge--remove-source-branch(set at merge time: gh pr merge --delete-branch)
Squash on merge--squash-before-merge(set at merge time: gh pr merge --squash)
Auto-merge when CI passes(post-create: glab mr merge --when-pipeline-succeeds <iid>)--auto (plus gh pr merge --auto or repo setting)
Open as draft--draft--draft
Title (set by agent at runtime)--title "<text>"--title "<text>"
Body / description (set by agent at runtime)--description "<text>" (for large bodies, pass --description "$(cat <file>)")--body "<text>" (or --body-file <file>)
Use last commit as title/body — do not use for autonomous mode--fill--fill

For gh, the squash / delete-source-branch defaults can't be set at create time — they're applied when the PR is merged. Capture them in the Merge defaults block anyway (so the autonomous workflow can append the right flags to a later gh pr merge call, and so a human reviewer can see the intent).

If the team picks manual, write the manual flow as prose under Create MR/PR (e.g. "open the GitLab compare URL printed by git push") and skip the flag table.

Proof of work — what to ask:

This section is read by autonomous workflows to decide what evidence to gather while fixing a bug and what to paste into the MR/PR body. It's the team's standard for what proves a fix is real. Ask the user enough to fill in:

  • UI-visible bugs — screenshot tooling. What does the team use to capture before/after screenshots? Common answers:
    • /auto-qa-changes (Sculptor's headless-browser harness, ideal for any repo with a frontend the skill can drive)
    • OS-level screenshot tools (macOS Screenshot, ShareX) for desktop apps
    • Screen recordings (QuickTime, Loom) when motion matters
  • Non-UI bugs — what artifacts. Usually the failing-test commit hash plus the test runner output showing it now passes. Some teams also want logs, a benchmark before/after, or a curl-based repro transcript.
  • Required vs nice-to-have. Is the evidence MANDATORY for every MR/PR, or just expected when applicable? Default to mandatory if the user is unsure — it's easy to relax later.

The goal of this section is to make the standard explicit so autonomous workflows produce MR/PR bodies a reviewer can trust without re-running the repro themselves.

Show full SKILL.md (608 more words)Show less
Docs config information

Required:

TopicWhat to learnExample
Spec locationWhere spec files live and how they're namedspecs/<slug>/spec.md, docs/specs/<slug>.md, .sculptor/specs/<slug>.md

Spec structure, mock conventions, and architecture structure are not configured here — they're baked into the workflow skills so agent behaviour stays consistent across repos. Don't ask the user about them.

Auto-written (do NOT ask): .sculptor/docs.md also includes a ## UI Reference section (empty placeholder with a guiding comment). The /sculptor-workflow:mock skill reads it to learn how to match your app's visual style. The user can fill it in later.

Auto-written (do NOT ask): .sculptor/docs.md also includes a ## Code Review section naming the skill that /sculptor-workflow:review invokes for the code-review pass. Auto-detect:

  • If .claude/skills/code-review-checklist/SKILL.md exists in the repo, write Skill: /code-review-checklist.
  • Otherwise leave the field empty — /sculptor-workflow:review will skip the code-review pass and only verify requirements coverage and tests.

The user can edit either section later.

Testing config information

Required:

TopicWhat to learnExample
Test strategyWhen to write e2e vs unit tests, and when to skip tests"Strongly prefer e2e; unit only as last resort"
Test frameworkWhat framework is usedpytest, jest, cargo test, go test
Test runner commandHow to run a single test filepytest path/to/test.py -v
Single test commandHow to run one specific testpytest path/to/test.py::test_name
E2e test runnerHow to run e2e / browser-driven tests (ask only if the team has e2e tests and they run with a different command or skill than unit tests)"Use the /run-integration-test skill", npx playwright test, "same as unit tests"
Test locationWhere test files gotests/ next to source, __tests__/, etc.
Test conventionsNaming, fixtures, patterns"Look at tests/test_auth.py as a reference"

Optional (ask about these — the user may or may not have them):

TopicWhat to learnExample
Bug trackingSystem, how to fetch tickets, how to file new tickets, how to comment on tickets, how to change ticket state, and the state name to use when the agent concludes a bug is unreproducible"Linear, use /linear skill" for all four operations; needs-info state: Triage
Manual testingHow to launch and interact with the app"Use /auto-qa-changes skill" or "npm run dev, then open localhost:3000"
Visual verificationHow to verify visual changes"Annotate screenshots with Pillow" or "just eyeball it"
Test debuggingHow to debug failing tests"Use /debug-integration-test skill" or "read the pytest output"
Test writing skillA skill or doc for writing tests"Use /write-integration-test skill"
Test types and locationsDifferent categories of tests"E2e tests in tests/e2e/, unit tests next to source"

Step 4: Write the configs

Write all three files using the templates below. Only include sections that are relevant — omit optional sections that don't apply.

.sculptor/code.md
markdown
# Code

## Code Structure
- **<component>:** `<path>` (<brief description>)

## Branch Naming
- **Bug-fix branches:** <pattern, e.g. `<name>/bugs/<ticket-id>`>
- **Feature branches:** <pattern, e.g. `<name>/<feature-description>`>
- **Example:** <e.g. `jane/bugs/PROJ-42`, `fix/login-crash`>

## Build
- **Full build:** `<command>`

## Run
- **Dev mode:** `<command>`

## Pre-commit Verification
- **Format:** `<command>`
- **Check (lint + types):** `<command>`
- **Unit tests:** `<command>`

## Publishing Changes
- **Push command:** `<command, e.g. git push -u origin <branch>>`
- **Create MR/PR (base command):** `<assembled command WITHOUT --fill, e.g. glab mr create --target-branch main --remove-source-branch>` <!-- autonomous skills append --title / --description (glab) or --title / --body (gh) at runtime -->
- **Auto-publish allowed:** `<yes | no>` <!-- read by autonomous skills; if "no", they stop after committing and let the user publish -->

### Merge defaults
- **Delete source branch on merge:** `<yes | no>`
- **Squash on merge:** `<yes | no>`
- **Auto-merge when CI passes:** `<yes | no>`
- **Open as draft:** `<yes | no>`

### Conventions (optional)
- <required labels, reviewers, title format, body template>

## Proof of Work

Every MR/PR opened by an autonomous skill must include evidence that the
bug existed and is now fixed. The MR/PR body walks a reviewer through:

1. **Original bug** — exact description (and ticket link, if any).
2. **Reproduction** — repro steps, plus before-evidence (screenshots / logs /
   error trace) showing the buggy behavior.
3. **Hypothesis** — what code path was responsible and why.
4. **Fix** — what changed and why it addresses the cause.
5. **Proof the fix works** — after-evidence (screenshots / test output /
   logs) showing the correct behavior, plus a link or hash for the
   failing-test commit.

### Optional sections (only when applicable)
- **`## Deferred follow-ups`** — list any adjacent work the agent
  consciously left out of this MR. If the testing config has a
  "How to file new tickets" entry point, each item MUST also have a
  tracker ticket URL next to it. Omit the section entirely if no
  work was deferred.
- **`## Review notes`** — populated by the fix-bug self-review pass
  with any code-review findings the agent declined to act on.
  Required after every autonomous fix-bug run: if the agent acted on
  every finding (or found none), write `_(no outstanding review
  notes)_` so a reviewer knows the review pass ran.

### Evidence tooling
- **UI-visible bugs:** <e.g. capture before/after with `/auto-qa-changes`>
- **Non-UI bugs:** <e.g. paste the failing-then-passing test output from `/run-integration-test`>
- **Other artifacts (optional):** <e.g. logs, benchmark deltas, curl transcripts>

### Required vs optional
- **Required for every MR/PR:** <yes | no, with conditions> <!-- e.g. "yes for any UI-visible change" -->

## Dependencies (optional)
- **Install:** `<command>`

## Environment Setup (optional)
- <any required env vars, config files, or services>

## Deployment (optional)
- <how to deploy or release>
.sculptor/docs.md

Write the file exactly as below, substituting the path pattern from the user's answer and (if auto-detected) the Code Review skill.

markdown
# Docs

Locations and operational config for the sculptor-workflow skills.
Document structure (spec sections, architecture sections, mock
conventions, plan layout) is baked into the skills — not configured
here.

## Spec Location
- **Path pattern:** <from the user's answer, e.g. `specs/<slug>/spec.md`>

## UI Reference

<!--
  Optional: tell the `/sculptor-workflow:mock` skill how to match your app's
  visual style. Examples:
    - "Read frontend/src/components/ for the component library."
    - "See docs/design-system.md for tokens and spacing."
    - "Use the Storybook at localhost:6006."
    - "Standalone project — no existing app to match."
  If empty, the mock skill will scan the repo for UI code on its own.
  If there is neither a UI Reference nor discoverable frontend code, the
  mock skill will ask for direction before generating.
-->

## Code Review

The configured skill below is invoked for code-review passes by:
- `/sculptor-workflow:review` at the end of the full feature workflow.
- `/sculptor-workflow:fix-bug`'s self-review phase (Phase 4 interactive
  / Phase A4.5 autonomous), so a fix isn't considered done until its
  diff has been reviewed.

<!--
  Set this to your repo's review skill, e.g. /code-review-checklist.
  If left empty, both /review and fix-bug's self-review phase skip
  the code-review pass.
-->

Skill: <skill-name>
.sculptor/testing.md
markdown
# Testing

## Test Strategy
<when to write e2e vs unit tests, and when to skip tests entirely>

## Test Framework
- **Framework:** <name>
- **Run a test file:** `<command>`
- **Run a single test:** `<command>`
- **Run e2e tests:** <command or skill — omit this line if e2e tests run with the same command as unit tests>
- **Test location:** <where test files go>
- **Conventions:** <naming, fixtures, patterns, or "see <file> as reference">

## Bug Tracking (optional)
- **System:** <name>
- **Ticket ID format:** <pattern, e.g. SCU-123, PROJ-42>
- **How to fetch ticket context:** <instructions or skill name>
- **When to fetch:** <e.g. "whenever input matches ticket format", "always required", "only if user provides a ticket ID">
- **How to file new tickets:** <instructions or skill name + entry point, e.g. "use the `/linear` skill's `create-ticket` entry point"> <!-- read by /fix-bug autonomous mode to file deferred-work follow-ups -->
- **How to comment on tickets:** <instructions or skill name + entry point, e.g. "use the `/linear` skill's `comment` entry point"> <!-- read by /fix-bug autonomous mode to leave evidence on tickets the agent declines to fix -->
- **How to change ticket state:** <instructions or skill name + entry point, e.g. "use the `/linear` skill's `set-state` entry point"> <!-- read by /fix-bug autonomous mode to move tickets to a "needs info" state -->
- **Needs-info state name:** <workflow-state name, e.g. `Triage`, `Needs Info`, `Awaiting Reporter`> <!-- the state /fix-bug autonomous mode moves a ticket to when it concludes the bug is unreproducible from the description -->


## Manual Testing (optional)
- **How to test:** <instructions or skill name>
- **Notes:** <any setup steps, URLs, or caveats>

## Visual Verification (optional)
- **How to verify:** <instructions or skill name>

## Test Debugging (optional)
- **How to debug:** <instructions or skill name>

## Test Writing (optional)
- **How to write tests:** <instructions or skill name>
- **Test types and locations:** <if there are multiple categories>

Step 5: Write, confirm, and commit

Write the files

Write all three files to .sculptor/code.md, .sculptor/testing.md, and .sculptor/docs.md.

Ask the user to review

Use your question tool to ask the user to review the files:

I've written the config files to .sculptor/code.md, .sculptor/testing.md, and .sculptor/docs.md. Please review them and let me know if anything needs to be adjusted.

You MUST ask with your question tool here — mcp__sculptor__ask_user_question if it's available, otherwise the built-in AskUserQuestion — not a plain text message. The tool call is what raises the "waiting for input" status that alerts the user. The tool triggers a UI notification in Sculptor that grabs the user's attention — without it, the user may not notice the question.

Wait for the user's response. If they request changes, update the files and confirm again.

Commit

Once the user confirms, commit the files:

bash
git add .sculptor/code.md .sculptor/testing.md .sculptor/docs.md
git commit -m "Add Sculptor repo config"

© imbue-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in sculptor/sculptor-workflow/skills/setup-repo of imbue-ai/sculptor.

Open the folder on GitHubat commit f847102

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Questions about Setup Repo

What does Setup Repo do?

Create or update the repo's Sculptor configs (.sculptor/code.md, .sculptor/testing.md, .sculptor/docs.md). Setup Repo is an agent skill from imbue-ai/sculptor.md).

How do I install Setup Repo in Claude Code?

Run `npx skills add imbue-ai/sculptor --skill setup-repo -a claude-code`. Or copy the skill folder (sculptor/sculptor-workflow/skills/setup-repo in imbue-ai/sculptor) into .claude/skills/setup-repo in your project. Claude Code loads it when a task matches its description.

How do I install Setup Repo in Codex?

Run `npx skills add imbue-ai/sculptor --skill setup-repo -a codex`. Or copy the skill folder (sculptor/sculptor-workflow/skills/setup-repo in imbue-ai/sculptor) into .agents/skills/setup-repo in your project. Codex loads it when a task matches its description.

Can I use Setup Repo in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add imbue-ai/sculptor --skill setup-repo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/setup-repo, .gemini/skills/setup-repo, .github/skills/setup-repo and .opencode/skills/setup-repo in your project.

What does Setup Repo need to run?

Going by SKILL.md and its folder, Setup Repo needs the command-line tools its instructions call (gh, git, just, npm, cargo and glab). Our summary lists: Node.js.

Does Setup Repo access the network?

SKILL.md contains no URLs. Its commands use gh, git, npm, uv and npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Setup Repo safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Setup Repo use?

Setup Repo is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Setup Repo use?

About 5.1k tokens (SKILL.md is roughly 21k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Setup Repo?

Skills that share tags, products or a category with Setup Repo: Config Gc (affaan-m/ECC, 276k stars), Warp Tab Config Editor (warpdotdev/warp, 65k stars), Warp Tab Config Reference (warpdotdev/warp, 65k stars) and Warp Tab Config Creator (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Setup Repo?

imbue-ai (a GitHub organization) maintains it in imbue-ai/sculptor, which has 238 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 9, 2026.

Source: imbue-ai/sculptor on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.