Agent skill

Dev

by stella in stella/stella

Start, drive and measure the local stack. An agent skill from stella/stella.

Apache-2.0Auto-check passedDevelopment

Install Dev

skills CLI
$ npx skills add stella/stella --skill dev -a claude-code

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

GitHub CLI
$ gh skill install stella/stella dev --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/stella/stella.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/dev .claude/skills/dev && 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
dev
GitHub stars
258
Token cost
~1.4k tokens
SKILL.md length
746 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
Apache-2.0

At a glance

Start, drive and measure the local stack. An agent skill from stella/stella.

  • Works in 6 steps: Start → Drive the API → Drive the web app → …
  • Development work in your project
  • SKILL.md covers 1. Start, 2. Drive the API, 3. Drive the web app and 4. Measure, plus 2 more sections
  • Calls bun and gh

What it does

Dev is an agent skill from stella/stella. Start, drive and measure the local stack. bun run agent:up gives a checkout its own seeded, signed-in stack in one blocking command; agent:cli and agent:drive exercise it and write evidence (screenshots, browser errors, failed API calls, timings).

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development. The repository describes itself as: Open-source legal workspace. The licence is Apache-2.0.

When your agent uses it

  • Development work in your project

Example prompts

  • “/dev”

Requirements

  • Docker

Workflow steps

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

  1. Start
  2. Drive the API
  3. Drive the web app
  4. Measure
  5. Report evidence
  6. Screenshots in pull requests

What it can do on your machine

Read from SKILL.md and the folder at commit 269655d. 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:

    • bun
    • gh

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

  • Network

    No URLs in SKILL.md. Its commands use gh, 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

Dev loads about 1.4k tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 746 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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 passed

The automated check found no risky patterns in SKILL.md.

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 stella/stella at commit 269655d, republished under its Apache-2.0 licence (© stella). 746 words, ~1,351 tokens.

Download SKILL.mdSave it as .claude/skills/dev/SKILL.md (or your agent's skills folder).
name
dev
description
Start, drive and measure the local stack. `bun run agent:up` gives a checkout its own seeded, signed-in stack in one blocking command; `agent:cli` and `agent:drive` exercise it and write evidence (screenshots, browser errors, failed API calls, timings).

Local Stack

Use this whenever a change needs to be seen working, not just type-checked: a UI change, an API behaviour, a performance claim.

1. Start

bash
bun run agent:up

It blocks until the stack is ready and prints the web and API URLs. The first start takes about half a minute (Docker services, migrations, and the fixture seed while the servers boot; each step logs how long it took); later runs reuse the running stack instantly. Interrupting up stops the runner it started, and a retry joins a runner that is still starting. The runner is packages/scripts/src/dev-runner.ts started detached with --seed:

  • Worktrees get their own ports and Docker project automatically (--infra-offset auto, the default). The root checkout keeps the default ports. Never reset or repair a database another checkout owns.
  • The seed signs in test@stella.dev, owner of the fixture firm, with matters, contacts and documents; the same data every time.
  • A machine API key for that owner is minted through /v1/api-keys.
  • State lives in .stella-dev/ (gitignored): runtime.json, runner.log, agent.env, evidence and saved measurements.

bun run agent:status prints the live URLs; bun run agent:down stops the stack (volumes and data survive). Leave it running while you iterate; the API and web servers reload on save. bun run agent:reset recreates a worktree's database from the seed alone (it refuses the root checkout's stack).

If up fails, read the tail it prints and .stella-dev/runner.log; fix the cause and rerun. Do not start a second runner by hand in the same checkout.

2. Drive the API

bash
bun run agent:cli -- matter list --json
bun run agent:cli -- document list --matter-id <id>

agent:cli runs the stella CLI from this checkout against the stack with the minted key, so it sees the MCP registry of the code on disk. It is also the quickest way to find ids: a matter opens at /workspaces/<matter id>.

3. Drive the web app

bash
bun run agent:drive -- snap /workspaces /chat/new
bun run agent:drive -- run path/to/flow.ts

snap opens each path signed in, waits until main is visible, loading placeholders are gone and the API is quiet, then screenshots it. run imports a script that default-exports async ({ page, snap, webUrl, apiUrl }) => {} (a Playwright page) for flows that need clicks or typing. snap("label", { waitFor: "<selector>" }) records a step after the same readiness checks; name the element that proves the step rendered, since main alone can be a loading screen.

Each command prints a Markdown report and exits 1 when the page showed a problem: a browser error, a 5xx API response, a sign-in redirect, the route error boundary, content that never finished loading, or API calls still running after 20 s. Look at the screenshots; a clean report with the wrong content is still wrong.

Show full SKILL.md (324 more words)Show less

4. Measure

bash
bun run agent:drive -- measure /workspaces --save before
# change the code; the dev servers reload
bun run agent:drive -- measure /workspaces --compare before

Reports the median of several samples after a warm-up: settle time, DOMContentLoaded, largest contentful paint, API request count, waterfall depth, DB queries and API payload. Timing deltas inside the sample spread are marked as noise; do not claim them, and repeat a pair before claiming one outside the spread. Request, query and payload counts are page totals, so a repeated call shows up. It is a dev build, so compare runs with each other, never with production numbers. Committed CI budgets stay with the route-smoke suite (/conventions-perf).

5. Report evidence

When handing work back, say what you ran and what it showed: the command, the report's findings, and the screenshot or measurement paths. A before and after pair is the evidence for a performance claim.

6. Screenshots in pull requests

bun run agent:attach <pr number> <screenshot.png>... is the only way to add images to a pull request; the command guard blocks gh ... --attach. It accepts an image only when it is an unaltered agent:drive capture taken while the stack held nothing but seeded content: after seeding, the runner fingerprints every table, and agent:drive checks the fingerprint before and after each run. Anything created since (an upload, a new matter, a typed name, a chat message) makes that run's captures unattachable, and the driver says so. So does typing, pasting or dropping anything into the page in a run script, even unsaved. A stack restarted while it held such content is not resealed until bun run agent:reset.

  • Take "before" shots before editing an existing screen.
  • To show a change that needed new content, verify it for yourself, then run bun run agent:reset and capture a state reachable without creating anything (for example the empty dialog).
  • The driver blocks requests to non-local sites, so pictures fetched from the web (avatars) are missing from screenshots.
  • agent:attach appends the images to the pull request body; if an upload fails it exits non-zero, so run it again.

© stella, Apache-2.0. 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 .agents/skills/dev of stella/stella.

Open the folder on GitHubat commit 269655d

Compare with similar skills

Dev next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Dev compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Dev this skillstella/stella258—~1.4kAutomated safety check: PassApache-2.0
Vercel Composition Patternssupabase/supabase111k59 repos~726Automated safety check: PassMIT
Finishing a Development Branchobra/superpowers296k5 repos~1.9kAutomated safety check: PassMIT
Typescript Advanced Typesrolling-scopes/rsschool-app10k25 repos~4.2kAutomated safety check: PassMPL-2.0
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

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Categories

Questions about Dev

What does Dev do?

Start, drive and measure the local stack. An agent skill from stella/stella. Dev is an agent skill from stella/stella. Start, drive and measure the local stack.

When should I use Dev?

Dev fits situations like: development work in your project.

How do I install Dev in Claude Code?

Run `npx skills add stella/stella --skill dev -a claude-code`. Or copy the skill folder (.agents/skills/dev in stella/stella) into .claude/skills/dev in your project. Claude Code loads it when a task matches its description.

How do I install Dev in Codex?

Run `npx skills add stella/stella --skill dev -a codex`. Or copy the skill folder (.agents/skills/dev in stella/stella) into .agents/skills/dev in your project. Codex loads it when a task matches its description.

Can I use Dev 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 stella/stella --skill dev -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dev, .gemini/skills/dev, .github/skills/dev and .opencode/skills/dev in your project.

What does Dev need to run?

Going by SKILL.md and its folder, Dev needs the command-line tools its instructions call (bun and gh). Our summary lists: Docker.

Does Dev access the network?

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

Is Dev safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Dev use?

Dev is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dev use?

About 1.4k tokens (SKILL.md is roughly 5.4k 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 Dev?

Skills that share tags, products or a category with Dev: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dev?

stella (a GitHub organization) maintains it in stella/stella, which has 258 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 8, 2026.

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