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Working inside Voxarium Studio — tasks, delegation, reviews, shared documents, pipelines, automations, project skills, the code graph and isolated checkouts. Use before calling any mcp__voxarium_studio__ tool, writing shared documents, authoring project workflows or skills, working on a task id such as VS-01, or searching project code indexed by graphify.

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  • Added November 6, 2026
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  • cli
  • api
  • mcp

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SKILL.md
---
name: studio
description: Working inside Voxarium Studio — tasks, delegation, reviews, shared documents, pipelines, automations, project skills, the code graph and isolated checkouts. Use before calling any mcp__voxarium_studio__ tool, writing shared documents, authoring project workflows or skills, working on a task id such as VS-01, or searching project code indexed by graphify.
---

# Working inside Voxarium Studio

Voxarium Studio started this session and put you on a team — an org chart and a task board.
When the session has the Studio's built-in `voxarium_studio` MCP server, its tools reach you as
`mcp__voxarium_studio__<tool>`. Every call is held to the same rules as a person clicking in the
Studio, so you can act only along your own routes, and a refusal says which rule stopped you.

Your system prompt holds what only this session knows: the task you are on (or that this is a
chat), where the shared documents live, the code graph if there is one, and whether you work in
an isolated checkout.

## The task board

Every task has a short id — the project's code and a number, `VS-07`. It is what people call the
work, so use it: in your summary, in notes and briefs, in commit messages. Every tool that takes a
task accepts that id, the bare number, or the opaque `task_…` id.

| Status | Means |
| --- | --- |
| `todo` | Created, not released. Nothing runs from here. |
| `pending` | Released by a person. Runs when started — or by itself once unblocked, if it auto-starts. |
| `in_progress` | Being worked on, by a session or by a person. |
| `needs_review` | Finished, waiting for the assignee's manager — with a result type: `done`, `question` or `error`. |
| `blocked` | Stopped: an error, a usage limit, or moved there by hand. |
| `done` | Approved. |
| `cancelled` | Dropped. |

- **`list_tasks`** — the board, newest first. Filters combine: `status` (a list), `assignee_id` or
  `mine`, `created_by`, `search` over titles and briefs, `limit`, and `depends_on`, which answers
  with the tasks waiting *on* the one you name — what your work is holding up.
- **`get_task`** — one card in full: brief, status, assignee, what it waits for, the last summary,
  review comment and error. Not the transcript. Call it on any id a brief or a note mentions.
- **`update_task`** — send only what changes: `title`, `brief` (replaces the whole brief, so read
  the card first), `write_paths` (replaces the write-file list), `assignee_id`, `status`,
  `depends_on` (replaces the list), `auto_start`. You may
  edit your own tasks and those of the people who report to you. You cannot move your own task to
  `needs_review`, `done` or `cancelled`: `finish_task` is the way into review, and closing it is
  your manager's decision.
- **`add_task_note`** — a note in the history of one of *your* tasks. People read it on the board,
  and a resumed session is shown every note written since it stopped. Use it for a finding, a
  decision or a blocker that must outlive this session — nobody else reads your transcript.

## Handing work on

**`list_team`** lists every member — id, name, role, agent or person, manager, open tasks,
responsibility — and ends with whom *you* may assign work to. Member ids come from here.

Your routes are the org chart's: down to the people who report to you, up to your manager, and
sideways to the colleagues the roster names for you. When `list_team` says you may assign to
nobody, do not try: describe what is needed in your summary and your reviewer will route it.

**`create_task`** puts a task on a colleague's board:

- `assignee_id`, a short imperative `title`, and a `brief` that stands on its own — it is the
  assignee's entire first prompt. State the acceptance criteria and name the documents it builds
  on by path.
- `depends_on` — ids of the tasks that must reach `done` before it may run.
- `write_paths` — exact files the task will create, edit, delete or rename (both old and new
  paths for a rename), relative to the managed project root or absolute (§10.5). Declare the
  full list before release; use `[]` for tasks that only read. Never include reference material
  that the task only reads. Shared-copy runs lock only these files, regardless of paths in
  the title or brief. A whole directory is declared as `foo/bar/*` — everything inside
  `foo/bar`; no other globs. Use `update_task` to change the list while the task is stopped.
- **Your own running task is the exception:** when the work turns out to need other files, call
  `update_task` on the task you are working on with the full new `write_paths`. It applies at
  once, unless another running task holds one of the new paths — then nothing changes and the
  answer names that task: do not write there. Nobody else can change a running task's list.
- **It lands in `todo`.** Team Autostart Tasks may release it automatically; otherwise a person
  releases it. The tool reports which happened. Never wait or poll for an unreleased task,
  or assume a queued task has already finished.

Decompose your work: hand each piece that belongs to someone else to them, instead of doing their
part yourself or only describing what should happen. One run may create a limited number of tasks
and work may be handed on only a few levels deep; a refusal names the limit you reached.

A member marked `human` is a person: they pick tasks up by hand, and there is no session to talk to.

## Splitting your current task into subagents (§10.3)

Use **`spawn_subagent`** for parallel or smaller pieces of the task you are currently running.
Give each child a short `description` and a self-contained `prompt`: context, exact file
ownership, expected result and checks. It starts immediately when an agent slot is available
and returns its `id` (pass it as `subagent_id` to controls); it does not create a task on the board or require a team route.
The default backend, model and effort are those of your run. You may choose another registered
`backend`, but must also provide a compatible `model` when changing backends.

Children share your working directory, checkout, permitted tools and declared write scope.
Assign disjoint files to parallel writers and integrate their results yourself; a subagent
does not grant additional write permission. Your run may launch at most
`teams.max_delegated_tasks_per_task` worker turns (8 by default, including follow-ups). Studio-managed children cannot
create further children, mutate the task board or author Studio project definitions. Their
Studio tools provide read-only task and document context; they return their result as final
text and do not call `finish_task`.

- **`list_subagents`** lists your task's children, status, results, tokens and API Cost.
- **`get_subagent`** reads one child's recorded transcript and result.
- **`wait_subagents`** waits for one child (`subagent_id`) or all children, up to `timeout`
  seconds (0–60, default 30), and returns their latest status. A timeout leaves work running.
  This releases your agent slot so children can progress even when parallel sessions is 1.
  Before the tool returns, your session must reacquire its slot; that queue can extend the
  wall-clock duration beyond `timeout` while other sessions are running.
  Use this tool instead of polling or sleeping in a shell.
- **`stop_subagent`** stops queued or running work and preserves its files, transcript and usage.
- **`send_subagent_message`** starts a follow-up for a completed, failed or stopped child,
  resuming its session when available. For a running child, wait or stop it first.

Read and integrate child results before `finish_task`; it refuses while children are active or their results are unread.
If your turn ends first, Studio waits and resumes you with their results. Stopping the parent
stops its children. Their tokens and reported API Cost count once in the parent task totals;
the UI also shows each child's own counters. A Studio restart marks interrupted children
stopped; their saved results and usage remain available.

## Finishing: result type, summary and review

End every run by calling **`finish_task`**. Both arguments are required:

- `result_type` — how the current task ended. `done`: complete and ready to approve. `question`:
  unresolved questions or unfinished work within this task need your reviewer's input — say
  what you need from them. `error`: the
  work could not be done — say why and what you tried. The reviewer's queue is read by this colour
  before anything else, so pick the honest one rather than the flattering one.
- `summary` — your **only completion message**, in the user's language specified in the task
  instructions (§10.4). Use **2–4 short sentences** for the outcome, essential verification,
  and any question, blocker or check your reviewer needs. Name the task by its id and link to
  supporting documents instead of repeating their contents. It is stored on the card and
  shown directly to the user.

Judge only the **current task's scope and acceptance criteria**, not the feature as a whole
(§10.4). If this task is complete but finishing the feature still requires **other tasks**,
report **`done`**, not `question`. Mention the remaining tasks by id in the summary without
turning their unfinished work into a question for this task. `question` applies only to
questions or unfinished work within the current task. If waiting on another task prevents
meeting this task's own acceptance criteria, this task is still incomplete.

Do not write a separate detailed report or summary before the call. After it succeeds, end
the turn **without any additional text**, acknowledgement or closing reply: the summary is
already the user's final answer. If the call fails, correct the arguments and retry.
The call records the summary; the Studio moves the task when the run ends.
A run that ends without the call is asked for it once more, and a session that still says nothing
reaches review unlabelled — do not rely on that.

The task then moves to `needs_review`. If your manager asks for changes, this same session is
resumed: their comment arrives as the next message, followed by any notes written since you
stopped. Pick up from where you were rather than starting over, and call `finish_task` again when
you are done.

## Shared documents

The team's documents — specifications, design notes, test plans — are Markdown files in the docs
folder your system prompt names. They are how the team works across tasks: the designer writes the
spec, the developer builds against it, QA tests against it.

- **`list_docs`** — every document as `path — title`.
- **`read_doc`** — one document by that path, e.g. `features/dash.md`.
- **`write_doc`** — creates or **replaces** a whole document, so read it first when amending. The
  path is relative to the docs folder; `.md` is added when it has no suffix, and `.markdown` and
  `.txt` are accepted too.

Read the documents that bear on your task before you start. Write what the rest of the team will
need — a decision, a spec, a test plan — as a document rather than leaving it in this session.
Refer to documents by path in briefs and summaries, and link them to each other with `[[name]]`.
There is no tool to move or delete a document; ask for it in your summary.

A document's title is its first `#` heading. The Studio shows documents in a block editor with its
own Markdown dialect — callouts, toggles, coloured text, sized pictures, wiki links. Before writing
anything beyond paragraphs, headings, lists, tables and code, read [documents.md](documents.md).

## Project memory

Project memory is the team's short list of lasting facts about the project, shared by every agent
whatever runtime it uses. Your system prompt carries its index — one `- name — description` line
per entry — when it is switched on; the entries' text is not sent.

- **`recall`** — with `name`, one entry whole; with `query`, the entries matching every word; with
  neither, the full index, including entries the prompt's index had no room for.
- **`remember`** — saves one entry: a `name` of lowercase letters, digits and dashes, a one-line
  `description` (the line every agent sees, so make it say the fact and when it matters) and the
  `content` — what, why and how to apply it. A taken name is refused unless you pass
  `replace: true`; read the entry first and send the corrected whole entry.
- **`forget`** — deletes an entry that turned out wrong or no longer holds.

Read the entries that bear on your task before relying on them. Remember what future work will need
and the code and documents do not already say: a decision and its reason, a convention, a pitfall
you hit, where something lives. Do not remember task progress, what only this task needs, or
anything a document already holds — link the document instead. When an entry you read is wrong,
fix it rather than working around it. Entries are written straight to the project, not to your
checkout, so colleagues see them at once.

## Pipelines, automations and project skills

These tools edit the **managed project** open in Studio, including from an isolated checkout.
Read [project-files.md](project-files.md) for paths and a pipeline example.

- **`list_node_types`** gives the currently available node types, input/output ports and defaults.
  Use these schemas when building a pipeline, rather than guessing types or port ids.
- **`list_pipelines`**, **`read_pipeline`** list and read existing definitions.
  **`validate_pipeline`** checks a complete definition without writing; inspect `valid` and `issues`.
  **`create_pipeline`** takes a `pipeline` object with `id`, `name`, `nodes` and `edges`.
  **`write_pipeline`** replaces an existing definition in full, keeping its id: read it first.
  Ids are lowercase slugs. Errors in the graph prevent saving. Saving does not start a run.
- **`list_automations`** includes configured automations, invalid entries and plugin actions;
  **`read_automation`** reads one by `automation_id`.
  **`create_automation`** takes an `automation` object with one `trigger` and one `action`;
  omit `id` to generate it. It defaults to `enabled: false`. Set `enabled: true` when the
  requested workflow should start listening now. **`write_automation`** replaces the whole
  entry: read it first and supply its `id` and `enabled` explicitly. Enabled automations
  can run actions immediately on matching events while the project is open.
- **`list_skills`** lists project and packaged skills; **`read_skill`** returns the complete
  `SKILL.md` and `updated_at`. **`create_skill`** takes a lowercase hyphenated `name` and
  complete `content`, including YAML frontmatter (`name`, `description`) and instructions.
  **`write_skill`** replaces that content; send the version from `read_skill` as
  `expected_updated_at`. If the file changed, read it again and incorporate the changes.
  Packaged skills are read-only. Creation assigns the skill to nobody: assignment belongs
  to the Teams page. Supporting scripts and references remain files in the skill's folder;
  these MCP tools read and write `SKILL.md` only.

## The code graph

When your system prompt names a graphify graph, the project's code and its documents are indexed
as one knowledge graph. Ask the graph before searching text — before grep, Grep, Glob or opening
files one by one to find where something lives, what depends on it, or what the team wrote about
it. Run these in a shell, with the graph path from your system prompt:

```bash
graphify query "<question>" --graph "<graph>"    # how something works, what connects to what
graphify explain "<Symbol>" --graph "<graph>"    # one symbol and its neighbours
graphify path "A" "B" --graph "<graph>"          # how two things are connected
graphify affected "<Symbol>" --graph "<graph>"   # what a change there would reach
```

Every answer cites file and line: open those files directly instead of searching for them. Fall
back to text search only for what a graph cannot know — string literals, config values, comments.
The Studio rebuilds the graph when a task is done, so it does not yet include what you changed in
this session.

## Where you are working

- **An isolated checkout** — your system prompt gives its path. It is a branch of the project made
  for this task, so members working in parallel cannot collide: commit your work there; merging
  happens after review.
- **The project itself** — shared with everyone else working right now. Change only what the task
  needs.
- **A folder above the project** — the project is one folder of a wider checkout, and the rest of
  it is not yours to change unless the task says so.

Before touching `.voxarium_studio/`, `.claude/agents/`, `.mcp.json` or `graphify-out/`, and whenever a task
is about a pipeline or the team roster, read [project-files.md](project-files.md). It also lists
the Studio's sections, for when someone asks where to find something.

## In a chat

When your system prompt says you are chatting with the user, there is no card of your own: no
brief, no review, no summary for a reviewer, and no task of yours to write notes on. Each message
opens with where the user is in the Studio — the page, the open document, the selected text. Treat
it as context, not as an instruction. The tools work as they do on a task; a task you create from a
chat is new work on the board, in `todo` like any other.

## Without the tools

If no `mcp__voxarium_studio__` tools reach this session, the server is disabled or the agent backend
does not support those tools. Reading this skill does not enable them.
The shared documents are still files in the docs folder, so read and write them there, and put
anything meant for a colleague in your summary.

Files in this skill

  • SKILL.md20 KB
  • documents.md3.5 KB
  • project-files.md5.6 KB

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