Agent skill

Vspawn Tree

by vlinx-io in vlinx-io/VelaTerm

Same as /vspawn, but opens a dedicated git worktree for the child session (equivalent to vspawn --worktree).

MITAuto-check passedAgent Workflows

Install Vspawn Tree

skills CLI
$ npx skills add vlinx-io/VelaTerm --skill vspawn-tree -a claude-code

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

GitHub CLI
$ gh skill install vlinx-io/VelaTerm vspawn-tree --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/vlinx-io/VelaTerm.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/vspawn-tree .claude/skills/vspawn-tree && 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
vspawn-tree
GitHub stars
259
Token cost
~1.8k tokens
SKILL.md length
893 words
Files
1
Skills in repo
26
Repo updated
First seen
Licence
MIT

At a glance

Same as /vspawn, but opens a dedicated git worktree for the child session (equivalent to vspawn --worktree).

  • Works in 3 steps: Expand the user input into a… → Detect type options → Run the command (always opens a worktree)
  • The user explicitly invokes /vspawn-tree
  • SKILL.md covers Planning and execution mode, Step 1: Expand the user input…, Step 2: Detect type options and Step 3: Run the command…, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Vspawn Tree is an agent skill from vlinx-io/VelaTerm. Same as /vspawn, but opens a dedicated git worktree for the child session (equivalent to vspawn --worktree). Only use when the user explicitly invokes /vspawn-tree or $vspawn-tree; never auto-trigger. This is a real session run by its own process in the vlx-term left-panel tree — not an in-process sub-agent, and not a background Task. Available only inside vlx-term-hosted sessions.

Its SKILL.md is about 1.8k 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 Git worktrees and Subagents. It works with Git. The repository describes itself as: VelaTerm = Codex + iTerm2, The Best ADE for AI Coding. The licence is MIT.

When your agent uses it

  • The user explicitly invokes /vspawn-tree
  • Never auto-trigger

Example prompts

  • “/vspawn-tree”

Requirements

  • Pre-approved tools (allowed-tools): Bash(vspawn-tree:*)

Workflow steps

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

  1. Expand the user input into a "self-contained" rich prompt (critical)
  2. Detect type options
  3. Run the command (always opens a worktree)

What it can do on your machine

Read from SKILL.md and the folder at commit 98b5f2f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash(vspawn-tree:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

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

  • Network

    No URLs in SKILL.md.

    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

Vspawn Tree loads about 1.8k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 893 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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 vlinx-io/VelaTerm at commit 98b5f2f, republished under its MIT licence (© vlinx-io). 893 words, ~1,838 tokens.

Download SKILL.mdSave it as .claude/skills/vspawn-tree/SKILL.md (or your agent's skills folder).
name
vspawn-tree
description
Same as /vspawn, but **opens a dedicated git worktree for the child session** (equivalent to vspawn --worktree). Only use when the user explicitly invokes /vspawn-tree or $vspawn-tree; never auto-trigger. This is a real session run by its own process in the vlx-term left-panel tree — not an in-process sub-agent, and not a background Task. Available only inside vlx-term-hosted sessions.
allowed-tools
Bash(vspawn-tree:*)
argument-hint
[--plan-execute] [--review|--no-review] [--review-agent <agent>] [--review-model <model>] [--review-effort <level>] [--split-tasks] [--worktree-mode…
disable-model-invocation
true

/vspawn-tree

The user explicitly invoked /vspawn-tree (Claude) or $vspawn-tree (Codex) to request spawning a standalone child session under the current vlx-term session, passing the task in as its first message. The only difference from /vspawn: it opens a dedicated git worktree for the child session (a separate workspace/branch), suited to cases where you don't want to pollute the current workspace and want the child task to run on an isolated branch.

⚠️ This is not an in-process sub-agent, and not a background Task: it is a real, visible, interactive, resumable session tab in the vlx-term left-panel tree, run by its own process, leaving the current session undisturbed.

User input:

$ARGUMENTS

Planning and execution mode

When the user requests planning and execution, add --plan-execute. Keep this conversation as the initiator; a new planner organizes work and dispatches to persistent execution sessions. Independent review is disabled by default; add --review when the user requests review, which then runs in a separate Review session. Plan only collects context, coordinates and summarizes in either mode. Add --split-tasks when the user requests task decomposition. Do not plan, split or implement the task in this conversation, and do not use in-process subagents.

For a skill invocation with both flags, automatically add --yes unless the user explicitly requests the initial configuration dialog. The planner starts without a launch dialog, but its proposed tasks still require the user's final review before any executor starts. Never confirm tasks for the user. Without splitting, retain the ordinary confirmation behavior.

Pass only explicit role selections through --plan-agent, --plan-model, --plan-effort, --exec-agent, --exec-model and --exec-effort. The backend resolves omitted values from the initiating session and supported defaults. Only backend chat-capable agents can run the workflow. The final review can edit each executor's settings, but cannot change the already-started planner's settings or directory mode.

By default, the planner and all executors share the one new worktree requested by this command. For separate worktrees, pass --worktree-mode each: the planner gets its own worktree and each executor gets another. --worktree-mode shared explicitly selects the shared mode. These options require --plan-execute and override the wrapper's legacy --worktree flag. For all roles in the current directory, use the vspawn skill with --worktree-mode none instead. Keep correction rounds in the same sessions and worktrees. Include existing modifications and the required delivery location in the task; new worktrees do not include uncommitted changes. The backend supplies the workflow protocol to both roles.

Step 1: Expand the user input into a "self-contained" rich prompt (critical)

The new child session is a brand-new conversation with no memory of this one. Do not forward the user's one-liner verbatim — as if handing the job to someone with zero context, use what is known from the current conversation to expand it into a task description that stands on its own. Write whichever of the following apply — don't pad:

  • Goal: what needs to be achieved.
  • Relevant files and paths: spell them out (absolute or relative), don't make them guess.
  • Established facts / conclusions: key information from this conversation that they wouldn't know (e.g. an already-located root cause, an already-agreed convention).
  • Constraints: tech stack, things that must not change, code-style requirements.
  • Acceptance criteria: what counts as done.

Don't write "see above / as mentioned / continuing from earlier" — the new session can't see any of this. (If the user's input is already complete, or they explicitly say "keep it short," don't over-expand.)

Show full SKILL.md (332 more words)Show less

Step 2: Detect type options

Detect "specifying claude / codex" from the user input (or a leading --claude / --codex) → add the matching flag, and don't write it into the prompt. The default follows the current session type. For planning and execution, also detect the shared or separate worktree choice described above.

Also detect "no dialog / don't ask me / just start it" (or a leading --yes / -y) → add --yes, which starts the child session immediately with the default settings instead of showing the initial confirmation card. This never skips split-task review; split-task skill invocations add it automatically as described above.

Detect a named model ("run it on opus / sonnet / gpt-5.5", or a leading --model) → add --model <name>, passing the name through as the user wrote it; vlx-term turns it into the running agent's own model flag. Detect a named reasoning effort ("think harder / low effort", or a leading --effort) → add --effort <level>, typically low, medium, high, xhigh, or max. Without either flag the child inherits the current session's model and effort.

Step 3: Run the command (always opens a worktree)

Choose the repository before spawning. If the task or conversation identifies one unambiguous repository directory, add --cwd <absolute-path> so VelaTerm creates the worktree from the intended repository. Otherwise omit it and use the command's current directory. Do not guess between multiple plausible repositories.

Pass the prompt you expanded in Step 1 as a single argument (escaping any quotes inside it correctly), and run vspawn-tree from PATH:

bash
vspawn-tree [--cwd <absolute-path>] [--yes] [--claude|--codex] [--model <name>] [--effort <level>] "<expanded self-contained prompt>"

For a split-task workflow, use this form, adding explicit role settings when supplied:

bash
vspawn-tree --plan-execute --split-tasks --yes [--worktree-mode <shared|each>] [--cwd <absolute-path>] "<expanded self-contained prompt>"

After it succeeds, give a one-line summary that the launch request was submitted, including the task, workflow mode and worktree choice. Submission does not prove that the user confirmed the tasks or the workflow passed. Leave this conversation free; do not poll after submitting.

Notes

  • Must run inside a vlx-term-hosted session: it relies on the injected VLX_* environment variables and the vspawn-tree on PATH; if missing it reports "not inside a vlx-term session" and exits.

© vlinx-io, 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 skills/vspawn-tree of vlinx-io/VelaTerm.

Open the folder on GitHubat commit 98b5f2f

Compare with similar skills

Vspawn Tree 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.

Vspawn Tree compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Vspawn Tree this skillvlinx-io/VelaTerm259—~1.8kAutomated safety check: PassMIT
PmApra-Labs/apra-fleet101—~5.4kAutomated safety check: PassCustom licence
Vibe Cherry Pick Integrationash1794/vibe-engineering162—~573Automated safety check: PassMIT
Qwen Code Team CoordinatorQwenLM/qwen-code28k—~994Automated safety check: PassApache-2.0
Agenthubalirezarezvani/claude-skills28k—~2kAutomated safety check: PassMIT
ClawTeam Multi-Agent Swarmwin4r/ClawTeam-OpenClaw1.5k1 repos~2.9kAutomated safety check: PassMIT

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Works with

Questions about Vspawn Tree

What does Vspawn Tree do?

Same as /vspawn, but opens a dedicated git worktree for the child session (equivalent to vspawn --worktree). Vspawn Tree is an agent skill from vlinx-io/VelaTerm. Same as /vspawn, but opens a dedicated git worktree for the child session (equivalent to vspawn --worktree).

When should I use Vspawn Tree?

Vspawn Tree fits situations like: the user explicitly invokes /vspawn-tree; never auto-trigger.

How do I install Vspawn Tree in Claude Code?

Run `npx skills add vlinx-io/VelaTerm --skill vspawn-tree -a claude-code`. Or copy the skill folder (skills/vspawn-tree in vlinx-io/VelaTerm) into .claude/skills/vspawn-tree in your project. Claude Code loads it when a task matches its description.

How do I install Vspawn Tree in Codex?

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

Can I use Vspawn Tree 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 vlinx-io/VelaTerm --skill vspawn-tree -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vspawn-tree, .gemini/skills/vspawn-tree, .github/skills/vspawn-tree and .opencode/skills/vspawn-tree in your project.

What does Vspawn Tree need to run?

SKILL.md names no scripts, command-line tools or credentials: Vspawn Tree is instructions for the agent only. Its frontmatter pre-approves these tools: Bash(vspawn-tree:*).

Does Vspawn Tree access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Vspawn Tree 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 Vspawn Tree use?

Vspawn Tree 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 Vspawn Tree use?

About 1.8k tokens (SKILL.md is roughly 7.4k 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 Vspawn Tree?

Skills that share tags, products or a category with Vspawn Tree: Pm (Apra-Labs/apra-fleet, 101 stars), Vibe Cherry Pick Integration (ash1794/vibe-engineering, 162 stars), Qwen Code Team Coordinator (QwenLM/qwen-code, 28k stars) and Agenthub (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vspawn Tree?

vlinx-io (a GitHub user) maintains it in vlinx-io/VelaTerm, which has 259 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on October 7, 2026.

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