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Agent Orchestration
Skill

/vask

Ask a focused question about another vlx-term session without importing its full conversation into the current context. This is the skill form of `vrefer SESSION --ask "QUESTION"`. Use it when the target session is known and the user needs a conclusion, decision, result, reason,

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velaterm
31027 skills1 MCP
Install
$ npx -y skills add vlinx-io/VelaTerm --skill vask --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/vask

Context preview

The summary Claude sees to decide when to auto-load this skill.

Ask a focused question about another vlx-term session without importing its full conversation into the current context. This is the skill form of `vrefer SESSION --ask "QUESTION"`. Use it when the target session is known and the user needs a conclusion, decision, result, reason,

SKILL.md

vask.SKILL.md
name: vask
description: >-
  Ask a focused question about another vlx-term session without importing its full conversation into
  the current context. This is the skill form of `vrefer SESSION --ask "QUESTION"`. Use it when the
  target session is known and the user needs a conclusion, decision, result, reason, or status from it.
  Read-only: nothing is sent to the target session and nobody is interrupted. Available only inside
  vlx-term-hosted local sessions.
allowed-tools: Bash(vrefer:*), Bash(vsearch:*)

vask

Use `vask` as the focused-question form of `vrefer --ask`. There is no separate shell command: invoke the existing read-only command with the session reference and the user's question.

vrefer <session> --ask "<question>"

If the target is not known, search first:

vsearch <distinctive words...>
vrefer <id-from-search> --ask "<question>"

`<session>` accepts a full id, an id prefix of at least eight characters, an exact session name, or a unique substring. Quote names containing spaces. If several sessions match, select an id from the candidate list and retry rather than guessing.

By default the answering agent receives the complete transcript. If the user enabled **Summarize first** in Settings → Agents, VelaTerm compresses the transcript with the one globally selected Agent, model, and reasoning effort, adds relevant original full-text search excerpts from the same session, and then asks the answering agent. This setting is automatic; the skill command and `--ask` syntax do not change.

Use `--with <kind>` only when the user explicitly wants a particular **answering** agent. It does not change the configured pre-summary Agent. Use `--timeout <seconds>` when the default 120-second overall limit is unsuitable.

The returned text is an agent's reading of another session, not a verbatim transcript. When exact wording or broader context matters, follow up with `vrefer <session>` or `vrefer <session> --range A:B`.

If answering fails, `vrefer` explains the reason on stderr and returns the transcript as its fallback. Check stderr before treating stdout as a completed answer.

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Ships withvelaterm

The best ADE. Not just a terminal. Not just an IDE. Manage agent sessions like Codex. Split terminals like iTerm2. VelaTerm keeps both in one native app, and brings them to your browser and your phone. Watch the intro video (2:55) · Download · User manual

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MIT
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4d ago
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2mo ago
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Repo: vlinx-io/VelaTerm

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