Agent skill

Antigravity Agents

by markfulton in markfulton/claude-antigravity-agents

Delegate coding, code review, analysis, and research jobs to Google Antigravity CLI (agy) sub-agents that run alongside your own work.

MITAuto-check passedAgent Workflows

Install Antigravity Agents

skills CLI
$ npx skills add markfulton/claude-antigravity-agents --skill antigravity-agents -a claude-code

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

GitHub CLI
$ gh skill install markfulton/claude-antigravity-agents antigravity-agents --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/markfulton/claude-antigravity-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/antigravity-agents .claude/skills/antigravity-agents && 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
antigravity-agents
GitHub stars
130
Token cost
~2.1k tokens
SKILL.md length
1,156 words
Files
1
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

Delegate coding, code review, analysis, and research jobs to Google Antigravity CLI (agy) sub-agents that run alongside your own work.

  • Works in 4 steps: The task, concrete and bounded ("review… → Where to look — specific paths, entry… → Constraints — "do not modify any files"… → …
  • Asks to spin off
  • SKILL.md covers Resolving the binary, Preflight (once per session), Conflict rule — the one thing… and Launching a job, plus 4 more sections
  • Calls git, gemini and npx

What it does

Antigravity Agents is an agent skill from markfulton/claude-antigravity-agents. Delegate coding, code review, analysis, and research jobs to Google Antigravity CLI (agy) sub-agents that run alongside your own work. Use this whenever the user asks to spin off, offload, or delegate a task to Antigravity, agy, Gemini, or an "external agent"; wants a second opinion or independent review from a different model; wants intensive repo work (audits, large refactors, research sweeps) run in the background while you keep working; or says things like "have Antigravity do it", "spin up a sub-agent for…

Its SKILL.md is about 2.1k 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 Agent Workflows, covering Subagents and Refactoring. It works with Google Gemini. The repository describes itself as: A Claude Code skill that delegates coding, review, analysis, and research jobs to Google Antigravity CLI (agy) sub-agents — save tokens, use a second model, work in parallel. The licence is MIT.

When your agent uses it

  • Asks to spin off
  • Delegate a task to Antigravity
  • An external agent
  • Wants a second opinion

Example prompts

  • “external agent”
  • “have Antigravity do it”
  • “spin up a sub-agent for this”
  • “/antigravity-agents”

Requirements

  • Node.js

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. The task, concrete and bounded ("review the diff between main and HEAD", not "look at the code").
  2. Where to look — specific paths, entry points, the project's own CLAUDE.md/docs/ if it has authoritative rules the job must respect.
  3. Constraints — "do not modify any files" for read-only jobs; "do not touch files outside src/lib/" for scoped write jobs; brand/style rules…
  4. Output contract — exactly what to print at the end ("finish with a markdown report: Findings / Severity / File:line / Suggested fix")…

What it can do on your machine

Read from SKILL.md and the folder at commit f1911e4. 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:

    • git
    • gemini
    • npx
    • npm

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

  • Network

    No URLs in SKILL.md. Its commands use git, npx and npm, 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

Antigravity Agents loads about 2.1k tokens when it runs. Until then it costs about 180 tokens; SKILL.md has 1,156 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~180
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

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 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 markfulton/claude-antigravity-agents at commit f1911e4, republished under its MIT licence (© markfulton). 1,156 words, ~2,134 tokens.

Download SKILL.mdSave it as .claude/skills/antigravity-agents/SKILL.md (or your agent's skills folder).
name
antigravity-agents
description
Delegate coding, code review, analysis, and research jobs to Google Antigravity CLI (agy) sub-agents that run alongside your own work. Use this whenever the user asks to spin off, offload, or delegate a task to Antigravity, agy, Gemini, or an "external agent"; wants a second opinion or independent review from a different model; wants intensive repo work (audits, large refactors, research sweeps) run in the background while you keep working; or says things like "have Antigravity do it", "spin up a sub-agent for this", or "get more done in parallel". Also use it proactively when a task is a good fit for parallel delegation and the user has expressed a preference for using Antigravity workers.

Antigravity CLI Sub-Agents

Google Antigravity CLI (agy) is an autonomous terminal coding agent (Gemini and other models) that can read a repo, edit files, and run commands. This skill uses its non-interactive print mode to run delegated jobs: you write a self-contained task prompt, launch agy -p in the background, keep doing your own work, then collect and verify the result.

Treat an agy job like a contractor you briefed over email: it only knows what's in the prompt and the directory you point it at, and its work is unverified until you check it.

Resolving the binary

After install, agy is normally on your PATH. If a tool-spawned shell can't find it (some shells don't inherit a freshly updated PATH), fall back to the full path:

  • Windows: %LOCALAPPDATA%\agy\bin\agy.exe (in Bash-style shells: "$LOCALAPPDATA/agy/bin/agy.exe")
  • macOS / Linux: check which agy

Critical: always close stdin. agy blocks forever (0% CPU, no output, even in print mode) when stdin is an open pipe, which is exactly what non-interactive tool shells give it. Launch jobs with </dev/null appended (POSIX shells), or from PowerShell via cmd /c '... < NUL'. A "stalled" job with an empty log almost always means stdin was left open — kill it and relaunch with stdin closed.

Preflight (once per session)

Before the first job of a session, verify auth with a cheap probe:

bash
agy -p "Reply with exactly: OK" --print-timeout 60s </dev/null
  • Replies OK → authenticated, proceed.
  • Prints a sign-in URL or errors about credentials → stop and tell the user to run agy once in their own terminal to complete the Google sign-in (it's a browser OAuth flow you cannot do for them). Don't retry until they confirm.
  • Hangs with no output → you forgot </dev/null.

Conflict rule — the one thing that must not go wrong

An agy job and your own edits must never touch the same working tree at the same time. Decide the isolation level before launching:

Job typeExamplesIsolation
Read-onlycode review, architecture analysis, security audit, research, "explain this codebase", doc summarizationSafe to run concurrently in the same repo. Add --sandbox and say "do not modify any files" in the prompt.
Write, different repofix a bug in repo B while you work in repo ASafe concurrently. Launch from repo B's root.
Write, same reporefactor, implement feature, fix testsNever concurrent with your own edits. Either (a) create a git worktree on a new branch and point the job there, or (b) run it sequentially while you do no edits, then review the diff.

For write jobs, snapshot first (git status --porcelain, commit or stash anything precious) so the sub-agent's changes are cleanly diffable — and recoverable if it goes sideways.

Launching a job

Run from the target repo's root (working directory is the workspace). Background it and redirect output to a log file so you can keep working:

bash
cd <repo-root> && agy -p "$(cat <<'EOF'
<self-contained task prompt>
EOF
)" --print-timeout 10m --sandbox </dev/null > <tmp>/agy-<jobname>.log 2>&1

Run anything longer than ~1 minute in the background and read the log file when it exits.

Timing calibration (measured in testing): a trivial probe returns in ~10s; a full-repo review on Flash (High) took ~13 minutes and printed nothing until done — print mode buffers nearly all output to the end, so an empty log mid-run is normal, not a stall. Tell the user the expected window when you launch ("5–15 min, silent until done") so quiet doesn't read as stuck. Genuine-stall signature: log frozen AND near-zero CPU delta over ~10s — that means a missing flag, not a slow model.

Prefer fan-out over monoliths. One big multi-question job maximizes wall-clock and progress blindness. For anything with separable dimensions (review: correctness + performance + config-drift; audit: security + deps + dead code), launch 2–4 narrow parallel jobs instead — each finishes faster, results arrive incrementally, and you do the cross-cutting synthesis yourself, which you must do anyway during verification.

Flags that matter:

  • --dangerously-skip-permissions — required for every print-mode job that uses tools, including read-only ones. agy's default permission mode (request-review) pauses on the first terminal command or file operation waiting for a human approval that never comes in print mode — the job silently freezes (process alive, log frozen, CPU flat). For read-only jobs pair it with --sandbox; for write jobs use it only inside an isolated worktree or a repo you're not touching.
  • --sandbox — terminal restrictions; add to all read-only jobs as the safety layer alongside skipped permissions.
  • --print-timeout — default is 5m; raise it (10m, 20m) for big jobs or they get cut off mid-work.
  • --model "<name>" — recommended default is Gemini 3.5 Flash (Medium) for most jobs and Gemini 3.5 Flash (High) for meatier review/analysis: fast and strong for delegated work, and heavier "thinking" models usually aren't worth the extra latency here. Run agy models to see current options and swap in whatever fits your preference.
  • --add-dir <path> — grant access to extra directories (e.g. a shared docs folder) without changing the working directory.
Show full SKILL.md (368 more words)Show less

Writing the job prompt

The sub-agent has none of your conversation context. A good job prompt includes:

  1. The task, concrete and bounded ("review the diff between main and HEAD", not "look at the code").
  2. Where to look — specific paths, entry points, the project's own CLAUDE.md/docs/ if it has authoritative rules the job must respect.
  3. Constraints — "do not modify any files" for read-only jobs; "do not touch files outside src/lib/" for scoped write jobs; brand/style rules if the job produces public-facing text.
  4. Output contract — exactly what to print at the end ("finish with a markdown report: Findings / Severity / File:line / Suggested fix"), since stdout of the print run is all you get back.

Collecting and verifying results

Never relay or commit a sub-agent's output unverified:

  • Read-only jobs: confirm nothing changed (git status --porcelain should be empty), then read the log and judge the findings yourself before summarizing to the user — sub-agents produce plausible-but-wrong findings too.
  • Write jobs: git diff the result, read the changed files, and run the project's typecheck/build (npx tsc --noEmit, npm run build, or the project's equivalent). A job that "completed" but fails the build is not done — fix it yourself or send a follow-up.
  • Report to the user what the sub-agent did, what you verified, and what (if anything) you corrected.

Follow-ups and long jobs

  • agy --continue -p "<follow-up>" resumes the most recent conversation — use it to ask the same job for fixes instead of re-briefing from scratch. Caution: with several jobs in flight, "most recent" is ambiguous — after a fan-out, only use --continue immediately after the job you mean, or re-brief fresh.
  • Fan out multiple read-only jobs in parallel freely (one background shell each, separate log files). Serialize write jobs per repo.
  • If a job times out, the log still holds partial output; raise --print-timeout and use --continue to let it finish rather than restarting.

When NOT to delegate

  • Quick tasks you can do faster yourself — a job has real startup and verification overhead.
  • Anything needing conversation context, user judgment calls, or credentials/secrets (never paste secrets into a job prompt).
  • Deploys, migrations, or other irreversible actions — sub-agents don't get to do those; bring the result back and let the user decide.

© markfulton, 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 antigravity-agents of markfulton/claude-antigravity-agents.

Open the folder on GitHubat commit f1911e4

Compare with similar skills

Antigravity Agents 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.

Antigravity Agents compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Antigravity Agents this skillmarkfulton/claude-antigravity-agents130—~2.1kAutomated safety check: PassMIT
Subagent Coordinatorflyxl/datazen114—~908Automated safety check: PassGPL-3.0
Orchestrate Batch RefactorDimillian/Skills4k—~889Automated safety check: PassMIT
Batch Orchestrationrohitg00/pro-workflow2.9k—~1.2kAutomated safety check: PassNone
Codex CLIkortix-ai/suna20k—~1.6kAutomated safety check: PassCustom licence
Batch Refactor With Sub Agentsr3bl-org/r3bl-open-core485—~816Automated safety check: PassApache-2.0

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Works with

Questions about Antigravity Agents

What does Antigravity Agents do?

Delegate coding, code review, analysis, and research jobs to Google Antigravity CLI (agy) sub-agents that run alongside your own work. Antigravity Agents is an agent skill from markfulton/claude-antigravity-agents. Delegate coding, code review, analysis, and research jobs to Google Antigravity CLI (agy) sub-agents that run alongside your own work.

When should I use Antigravity Agents?

Antigravity Agents fits situations like: asks to spin off; delegate a task to Antigravity; an external agent; wants a second opinion.

How do I install Antigravity Agents in Claude Code?

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

How do I install Antigravity Agents in Codex?

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

Can I use Antigravity Agents 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 markfulton/claude-antigravity-agents --skill antigravity-agents -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/antigravity-agents, .gemini/skills/antigravity-agents, .github/skills/antigravity-agents and .opencode/skills/antigravity-agents in your project.

What does Antigravity Agents need to run?

Going by SKILL.md and its folder, Antigravity Agents needs the command-line tools its instructions call (git, gemini, npx and npm). Our summary lists: Node.js.

Does Antigravity Agents access the network?

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

Is Antigravity Agents 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 Antigravity Agents use?

Antigravity Agents 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 Antigravity Agents use?

About 2.1k tokens (SKILL.md is roughly 8.5k 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 Antigravity Agents?

Skills that share tags, products or a category with Antigravity Agents: Subagent Coordinator (flyxl/datazen, 114 stars), Orchestrate Batch Refactor (Dimillian/Skills, 4k stars), Batch Orchestration (rohitg00/pro-workflow, 2.9k stars) and Codex CLI (kortix-ai/suna, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Antigravity Agents?

markfulton (a GitHub user) maintains it in markfulton/claude-antigravity-agents, which has 130 GitHub stars. The repository was last updated on July 27, 2026.

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