Pm
Apra-Labs/apra-fleet
Project Manager skill. An agent skill from Apra-Labs/apra-fleet.
Same as /vspawn, but opens a dedicated git worktree for the child session (equivalent to vspawn --worktree).
$ npx skills add vlinx-io/VelaTerm --skill vspawn-tree -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vlinx-io/VelaTerm vspawn-tree --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "vspawn-tree" agent skill from https://github.com/vlinx-io/VelaTerm/tree/dev/skills/vspawn-tree into .claude/skills/vspawn-tree/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vspawn-tree", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/vlinx-io/VelaTerm/tree/dev/skills/vspawn-treeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add vlinx-io/VelaTerm --skill vspawn-tree -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vlinx-io/VelaTerm vspawn-tree --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vlinx-io/VelaTerm.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/vspawn-tree .agents/skills/vspawn-tree && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vspawn-tree" agent skill from https://github.com/vlinx-io/VelaTerm/tree/dev/skills/vspawn-tree into .agents/skills/vspawn-tree/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vspawn-tree", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vlinx-io/VelaTerm --skill vspawn-tree -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vlinx-io/VelaTerm vspawn-tree --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vlinx-io/VelaTerm.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/vspawn-tree .cursor/skills/vspawn-tree && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "vspawn-tree" agent skill from https://github.com/vlinx-io/VelaTerm/tree/dev/skills/vspawn-tree into .cursor/skills/vspawn-tree/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vspawn-tree", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/vlinx-io/VelaTerm.git --path skills/vspawn-tree--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add vlinx-io/VelaTerm --skill vspawn-tree -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vlinx-io/VelaTerm vspawn-tree --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vlinx-io/VelaTerm.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/vspawn-tree .gemini/skills/vspawn-tree && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "vspawn-tree" agent skill from https://github.com/vlinx-io/VelaTerm/tree/dev/skills/vspawn-tree into .gemini/skills/vspawn-tree/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vspawn-tree", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install vlinx-io/VelaTerm vspawn-treeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add vlinx-io/VelaTerm --skill vspawn-tree -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vlinx-io/VelaTerm.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/vspawn-tree .github/skills/vspawn-tree && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "vspawn-tree" agent skill from https://github.com/vlinx-io/VelaTerm/tree/dev/skills/vspawn-tree into .github/skills/vspawn-tree/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vspawn-tree", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vlinx-io/VelaTerm --skill vspawn-tree -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vlinx-io/VelaTerm vspawn-tree --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vlinx-io/VelaTerm.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/vspawn-tree .opencode/skills/vspawn-tree && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "vspawn-tree" agent skill from https://github.com/vlinx-io/VelaTerm/tree/dev/skills/vspawn-tree into .opencode/skills/vspawn-tree/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vspawn-tree", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
vspawn-treeSame 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). 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.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 98b5f2f. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from vlinx-io/VelaTerm at commit 98b5f2f, republished under its MIT licence (© vlinx-io). 893 words, ~1,838 tokens.
.claude/skills/vspawn-tree/SKILL.md (or your agent's skills folder).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
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.
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:
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.)
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.
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:
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:
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.
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
Just SKILL.md in skills/vspawn-tree of vlinx-io/VelaTerm.
Open the folder on GitHubat commit 98b5f2f
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Vspawn Tree this skillvlinx-io/VelaTerm | 259 | — | ~1.8k | Automated safety check: Pass | MIT | |
| PmApra-Labs/apra-fleet | 101 | — | ~5.4k | Automated safety check: Pass | Custom licence | |
| Vibe Cherry Pick Integrationash1794/vibe-engineering | 162 | — | ~573 | Automated safety check: Pass | MIT | |
| Qwen Code Team CoordinatorQwenLM/qwen-code | 28k | — | ~994 | Automated safety check: Pass | Apache-2.0 | |
| Agenthubalirezarezvani/claude-skills | 28k | — | ~2k | Automated safety check: Pass | MIT | |
| ClawTeam Multi-Agent Swarmwin4r/ClawTeam-OpenClaw | 1.5k | 1 repos | ~2.9k | Automated safety check: Pass | MIT |
Apra-Labs/apra-fleet
Project Manager skill. An agent skill from Apra-Labs/apra-fleet.
ash1794/vibe-engineering
Safely integrates commits from parallel agent branches using sequential cherry-pick.
QwenLM/qwen-code
Leads a small team of Qwen Code teammates: read-only investigators work in parallel, then one writer pinned to a git worktree makes the changes.
alirezarezvani/claude-skills
Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation.
win4r/ClawTeam-OpenClaw
Launches a swarm of specialist Hermes agents in git-worktree-isolated tmux windows with a kanban board and file-based inboxes, using built-in templates like hedge-fund and code-review.
asheshgoplani/agent-deck
agent-deck, the terminal session manager for AI coding agents.
vlinx-io/VelaTerm
Assess an immutable patch artifact's program impact, regression risk, and auto-merge eligibility.
vlinx-io/VelaTerm
Explicitly spawn a standalone child session under the current vlx-term session, passing the task in as its first message (mirrors spawntask).
vlinx-io/VelaTerm
A skill your agent uses when the user asks for a deep, exhaustive, multi-pass, or variance-reducing repository-wide or scoped-path Codex Security scan.
vlinx-io/VelaTerm
Define, review, or update SECURITY.md guidance for a repository or component.
vlinx-io/VelaTerm
Track validated Codex Security findings in Linear, Jira, GitHub issues, or draft GitHub security advisories.
vlinx-io/VelaTerm
Use only when the user explicitly requests verification that a security fix remediates a reported vulnerability.
Works with
Categories
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).
Vspawn Tree fits situations like: the user explicitly invokes /vspawn-tree; never auto-trigger.
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.
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.
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.
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:*).
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.
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.
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.
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.
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.
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.