Agent skill

Rove

by Sma1lboy in Sma1lboy/rove

A skill your agent uses when controlling Rove tasks, parallel coding attempts, hosted agent sessions, task lifecycle, or the daemon-owned issue tracker from a shell.

MITAuto-check passedAgent Workflows

Install Rove

skills CLI
$ npx skills add Sma1lboy/rove --skill rove -a claude-code

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

GitHub CLI
$ gh skill install Sma1lboy/rove rove --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/Sma1lboy/rove.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/rove .claude/skills/rove && 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
rove
GitHub stars
160
Token cost
~8.9k tokens
SKILL.md length
4,427 words
Files
2 (incl. references)
Skills in repo
13
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when controlling Rove tasks, parallel coding attempts, hosted agent sessions, task lifecycle, or the daemon-owned issue tracker from a shell.

  • Controlling Rove tasks
  • SKILL.md covers Inside a Rove session, Rove…, Vocabulary — what the user's…, Found a defect in ANOTHER… and Fresh worktrees start empty —…, plus 7 more sections
  • Calls git, claude and kind
  • Parallel coding attempts

What it does

Rove is an agent skill from Sma1lboy/rove. Use when controlling Rove tasks, parallel coding attempts, hosted agent sessions, task lifecycle, or the daemon-owned issue tracker from a shell. Also the ONLY channel for messaging another agent session on this machine — rove api send, never a peer/MCP side channel.

Its SKILL.md is about 8.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/api-flags.md`).

It sits in Agent Workflows, covering Issue triage and Git worktrees. It works with Model Context Protocol and Git. The repository describes itself as: Rove — the agent multiplexer for your terminal. Run coding agents on parallel tasks with isolated worktrees and persistent sessions. The licence is MIT.

When your agent uses it

  • Controlling Rove tasks
  • Parallel coding attempts
  • Hosted agent sessions
  • The daemon-owned issue tracker from a shell

Example prompts

  • “/rove”

What it can do on your machine

Read from SKILL.md and the folder at commit 139a8cb. 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
    • claude
    • kind

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

  • Network

    No URLs in SKILL.md. Its commands use git, 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

Rove loads about 8.9k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 4,427 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~8.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~13k

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 Sma1lboy/rove at commit 139a8cb, republished under its MIT licence (© Sma1lboy). 4,427 words, ~8,889 tokens.

Download SKILL.mdSave it as .claude/skills/rove/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
rove
description
Use when controlling Rove tasks, parallel coding attempts, hosted agent sessions, task lifecycle, or the daemon-owned issue tracker from a shell. Also the ONLY channel for messaging another agent session on this machine — `rove api send`, never a peer/MCP side channel.
<!-- rove-skill-version: 56 — bump in lockstep with ROVE_SKILL_VERSION (src/lib/skill-install.ts). -->

Rove shell control

Use rove api to manage local coding tasks. Managed Tasks created by API automation own a git Worktree and branch plus Hosted PTY engine tabs; project main and directory Tasks reuse existing directories. API automation works without an open TUI; prompted send and add ensure a target engine tab.

Inside a Rove session, Rove verbs come first

Check where you are before choosing how to delegate or parallelize:

bash
test -n "${ROVE_TASK_ID:-}"

When that passes, you are an engine session Rove manages — $ROVE_TASK_ID is your task, $ROVE_TAB_ID your tab. Coordination should then go through Rove, not around it, because work routed through rove api gets what ad-hoc subprocesses never do: its own Worktree and branch (no file collisions with you), a sidebar row with live state the user can watch, lifecycle tracking, and an explicit outcome contract.

  • Parallel attempts of one prompt → add --count N, not N hand-rolled subagents.
  • Delegating a scoped piece of work → add --prompt, not a raw claude -p child the user cannot see or manage.
  • Following up on a task you started → send; comparing → collect; finished your own task and were spawned by another → a bare send (no --task-id) replies to the DISPATCHER — the exact task + tab that created you, recorded at creation (.task.dispatcher on get-task). If that tab died it falls back to the dispatcher task's live canonical engine tab; nothing alive fails loud (DISPATCHER_UNREACHABLE) — it never spawns a new engine, so a failed reply is visible, not fake-ok.
  • Messaging another agent session on this machine → send, and ONLY send — never relay through the user, a side file, or a generic peer channel (an MCP server offering to message "other instances" is exactly that channel: it reaches a process, not a task, so nothing it delivers is attributable, watchable, or replyable). Sent from inside a Rove task, the prompt arrives prefixed [ROVE PEER] from "<title>" (task <id> — Rove agent skill /rove, read it once per session …), so the receiver knows who is talking, that this skill is required reading, and how to answer — the baked-in reply command is tab-precise (--task-id <sender> --tab <sender's tab>), so peer conversations need no coordinator and no human relay. That prefix is the contract: do not strip it with --plain for coordination messages (--plain is only for a verbatim paste the receiver should treat as content, not conversation). Received a [ROVE PEER] message yourself? Read this skill once per session. The baked-in command identifies where a necessary reply goes; it is not an instruction to acknowledge every message. Act on FYIs without replying.
  • send carries text, but that text can carry FILES: peers share a filesystem, so put the absolute path of a screenshot, log, diff, or any artifact in the prompt and the receiver opens it with its own Read tool — images included. An annotated screenshot beats a paragraph describing one; prefer "see /path/to/shot.png — the arrow marks the broken card" over re-narrating pixels. Paths under the sender's Worktree work too (worktrees are world-readable locally); just never expect the receiver to WRITE there.
  • dispatch stays the dispatcher's verb (deliver-only into an already-hosted session; never impersonate the user in someone else's terminal).

Your own engine's in-context subagents remain fine for read-only research/exploration inside your task — the boundary is WORK: anything that edits files, runs long, or the user should be able to see and steer belongs in a Rove task. Do not recursively fan out from a spawned task.

When the check fails, none of this applies — use rove api only if the user asks for Rove by name.

Vocabulary — what the user's words map to

TermWhat it isIsolation it givesUsers also say
Taskone tracked workspace record — managed worktree, saved-project main, or existing directorymanaged Tasks own files + branch; main/directory Tasks reuse files"a task", "a new one", "a separate attempt"
Worktreethe isolated git working tree a managed Task owns (.task.worktreePath) — a filesystem address, never shown in the UI—"workspace", "this checkout", "this branch", "here"
Terminal Tabone engine, shell, command, or content surface inside a Taskan engine tab has its own conversation, but every tab uses the SAME Task files"tab", "chattab", "another chat", "a second agent on this"
Splitthe tree that divides ONE Terminal Tab into several regions (the pane-open verb's unit; a leaf is not called a pane)none — same session's screen, same files"split it", "side by side", "put the logs next to it"

Two of those colloquialisms are traps, so read them as INTENT, not as product terms: in Rove's own vocabulary Workspace is the center Terminal Tab region of the UI (CONTEXT.md), not a checkout, and ChatTab is retired vocabulary for Terminal Tab. A user saying "in this workspace" means the worktree they are looking at — answer the intent, keep writing the real term.

They nest — Task ⊃ Terminal Tab ⊃ Split — and isolation drops at every level down:

text
new Task   → own worktree + own branch     (parallel work can't collide)
new Tab    → own engine session, SAME files (a helper in the same checkout)
new Split  → same session's screen, one tab divided (a monitor beside the work)

The distinction that decides every routing call: a new tab shares the worktree and branch; only a new task gets its own. Two tabs in one task edit the same files, so they can collide — that is a feature when the user wants a helper in the same checkout, and a bug when they wanted parallel attempts. A split isolates nothing at all: it is a layout, for watching something (logs, btop, a test loop) next to the work — never the answer to "do this work".

One boundary the isolation model does NOT cover: never git stash in a managed worktree. The stash stack lives in the repo's common dir (.git/refs/stash) and is shared by every linked worktree — two tasks that stash in parallel can pop or drop each other's work. Commit instead; a commit is per-branch and isolates exactly the way the model promises.

Where does this work land?

Inside a Rove session ($ROVE_TASK_ID non-empty — check first: it is what makes the tab/split rows addressable at all), match top to bottom and take the first row that fits:

The user saysLands inCommand
"you do it", "just fix it", "change X to Y"you, right hereno Rove verb — edit the files yourself
"try it N ways", "compare approaches"N new tasksrove api add --repo "$PWD" --count N --prompt "…"
"split", "side by side", "keep an eye on X while…"a new region in the CURRENT tabrove api pane-open --command "…"
names a tab: "tell the agent in tab 3"that exact tabrove api send --task-id <id> --tab tab-3 --prompt "…"
a LOCATION word: "in this workspace/worktree/checkout", "on this branch", "here", "same task"THIS task, a NEW Terminal Tabrove api send --task-id "$ROVE_TASK_ID" --tab new --prompt "…"
names an ENGINE for the same files: "let codex take over here", "try this one with claude instead"THIS task, a new tab pinned to that enginerove api send --task-id "$ROVE_TASK_ID" --tab new --command codex --prompt "…"
anything else — no row above matcheda NEW task — new worktree + branchrove api add --repo "$PWD" --prompt "…"

Order is the tiebreak: a count ("3 ways in this workspace") beats a location word, and delegation language loses to "you do it" — the user asking YOU is not asking for a fleet. Two more rules the table can't show:

  • No location word at all ⇒ new task. It is the only routing whose isolation cannot corrupt work-in-progress, so it is the safe default.
  • "this repo" / "this project" are NOT location words — they name the repo, not the checkout. Only worktree-scoped words route to a tab.

Outside a Rove session none of this applies: there is no "this task" to add a tab to, so add (single or --count) is the only routing available.

Know where you are before you route
bash
echo "$ROVE_TASK_ID / $ROVE_TAB_ID"          # who you are (empty = not a Rove session)
rove api get-task --task-id "$ROVE_TASK_ID"  # .task.title, .task.branch, .task.id, .running, .tabs[]
                                             # .task.worktreePath too — only if you are about to read/write its files

get-task is the per-task read that answers "what is my worktree, my branch, and which sibling tabs exist" — .tabs[] carries each tab's id, kind, vendor, liveVendor, lastTitle and alive, which is exactly the target list for send --tab. A tab flagged unregistered: true is a live session the tab snapshot lost; it is addressable like any other.

Coordinating others? Start every turn with context

If you spawned tasks, begin each turn with one read instead of your memory — between two of your turns a worker can finish, crash, stall on a permission prompt or get its PR approved, and you witnessed none of it:

bash
rove api context --repo "$PWD" --text

One line per task, sorted so the first line is what needs a person next. The group on each row is DERIVED from that task's report, PR observation, engine activity and tab liveness — it is NOT the status field, which a crashed worker leaves reading in_progress forever:

groupyour move
waiting-on-youanswer it — permission prompt, quota wall, settled error, dead tab that delivered nothing
landingmerge it — PR open and approved
ready-for-reviewread the diff — a report landed, nobody acted
workingnothing. An engine is producing output
idlenothing. We looked; it is quiet
unknownlook (get-task, read-output). We could NOT look — this is not "idle"

Never read unknown as idle, and never act on a group as if it were a verification: ready-for-review means a worker CLAIMED something, so collect and the actual diff still decide whether it lands. Drop --text for structured rows (group, rank, checkState, report) when you are going to branch on the fields rather than read them.

context also carries the unhandled attention inbox and the repo's newest field notes — the same notes a fresh session here is handed, so brief your workers from those and don't re-derive what is already written down.

Refer to a task the way the user sees it

The sidebar row is the task's title; the line under it is its branch. Nothing in Rove's UI ever renders worktreePath, so the directory name in it (~/.rove/worktrees/<repo>/marlin) is a filesystem address the daemon picked from an animal pool — the user has never read that word and cannot find it on screen. Never name a task by its directory to a user or in a report.

Use the title when a human reads it, the task id (or its last six characters) when you need it to be unique, and both when you need both:

  • ❌ marlin opened a PR · landed in zorilla · see mammoth's branch
  • ✅ "Skill version guard…" (task …CWWA) opened PR #972
  • ✅ succeeded: guard now fails the build (branch fix/skill-version-bump)

worktreePath earns a mention only when the sentence is about files on disk — cd, a path in a command, a file you edited.

Found a defect in ANOTHER project? File a request, don't work around

The repos on this machine are deliberately interdependent — one project using (and stumbling over) another is the normal case, not the edge case. Each saved project can keep a main task: a long-lived resident agent on that repo's own checkout. It is more than "task kind = existing directory" — it is that project's standing inbox, addressable from any other repo's session, and it dispatches what it receives.

So when work in repo A surfaces a defect in product B, the default is to file a request with B's main task — not to quietly patch around it in A. The test: would this bite someone else? A local workaround fixes only you; a fix in B fixes everyone. Work around locally to unblock yourself if you must, but file the report either way.

bash
rove api list                                   # find B's main task id
rove api get-task --task-id <their-main>        # .tabs[] → the engine tab's id
rove api send --task-id <their-main> --tab tab-N --prompt "<report>"

Address the engine tab explicitly (--tab tab-N from get-task's .tabs[], kind == "engine"): a long-lived main task's engine tab is often not tab-1, and an un-addressed send may refuse with NO_ENGINE_TAB rather than guess.

A report worth sending carries: symptoms (what happened, concretely, how many times), root cause if you found it, why it is worth fixing (who else it bites), and suggestions without prescribing the implementation — the receiving project decides how to fix its own product.

Send the report — never add a task into someone else's repo. You hold the problem-side context (symptoms, root cause, impact); only that project's main agent holds the solution-side context (code structure, existing issues, what's mid-flight, where this slots in the schedule). A task you compose would bake YOUR guess at the fix into the brief, and that guess is usually wrong — one field report here looked like "add a line to the docs" and actually split into a docs fix plus a runtime-detection issue anchored in files the reporter didn't know existed. You raise the problem; their main agent decomposes it into tasks. That translation is the main task's whole job, and it is why every project should keep one.

Fresh worktrees start empty — install before you judge

A managed task's worktree is a brand-new checkout: no node_modules, no build artifacts, nothing a lockfile promises. Two consequences:

  • A test failure in a fresh worktree may be fake. Missing dependencies masquerade as product bugs ("Could not resolve: react-dom/client" reads like a regression, not a missing install). Before reporting any failure as real, confirm the repo's install step ran — and when a failure looks unrelated to your change, compare against the same command on the base branch before believing it.
  • Repos with an install step should ship .rove/init.sh — it runs once per worktree, before the engine, in the worktree (per-user override: rove repo set --init-script; inspect with rove repo show, which lists .rove/init.sh: absent when unset). Working in a repo that lacks one and you just paid the install tax? Suggest adding it.

Discover before calling

Do not guess flags — but do not pay a round-trip for the ones you use every turn either. These five carry almost all traffic:

text
add      --repo(REQ) --prompt --title --command --count --agents --activate
send     --prompt|--prompt-file(REQ) --task-id --tab --command --plain
get-task --task-id(REQ)          list  (no flags)
collect  --group <groupId> | --task-ids <csv> | --repo

Names that have actually been guessed wrong here: add --vendor is --command; read-output --task is --task-id; per-field verbs (set-<field>, rename, pin) are all update --<field>; dispatch --text is --prompt (--text belongs to note); issue-list has no --state at all — filter its JSON yourself.

references/api-flags.md is every verb and flag. Find your section by what you were ASKED, not by Rove's noun for it:

You are asked to …Read section
schedule / recur / cron / "every morning" / "keep messaging one window" / 定时 / 每天自动routines
a GitHub issue, "file it upstream" / 提 issueworkitems
track work in Rove's own backlog, move a kanban cardissues
remember this for the repo, leave a field note / 记一笔drive
what did the agent do, per-turn cost, read its screenread
make / rename / retarget / land / close a taskcreate / edit / lifecycle
materialize or adopt a checkoutworktree
which engines exist, send Rove product feedbackdiscover / feedback
an error code came back, nextCommandArgsError codes

Reach for schema when the binary and that file disagree.

bash
rove api schema --verb add    # or --group create, --all
rove api <verb> --help
rove api engine-list          # what you can launch, and with what command

Commands emit one JSON object; errors use {"error":{"message","code",...}} on stderr. Common rejections also carry hint (what to do) and nextCommandArgs (argv for the same Rove executable — run rove <args...> verbatim to recover, e.g. ["api","list"] after TASK_NOT_FOUND). Add --pretty for readable output.

Common operations

bash
# Create one task and start its first engine turn.
rove api add --repo "$PWD" --title "focused title" --command claude \
  --prompt "<complete scoped instruction>"

# Parallel attempts of the same prompt (hard cap 10; prefer 3-4).
rove api add --repo "$PWD" --count 3 --prompt "<prompt>"
rove api add --repo "$PWD" --agents claude:2,codex:1 --prompt "<prompt>"

# Follow up. Use an explicit id for unattended work; the active task can drift.
# From inside a Rove task this auto-prefixes [ROVE PEER] provenance
# (sender + reply command) — `add --prompt` wears it too, so a dispatched
# task's opening brief carries its reply address; --plain sends verbatim.
#
# A prompt with backticks, $vars, or quotes goes through --prompt-file, NEVER
# a double-quoted --prompt: in double quotes `rove api send …` is command
# substitution — the shell RUNS it and ships its output, and the words vanish.
# Single quotes block $ROVE_TASK_ID too, so there is no quoting that fits both.
rove api send --task-id <id> --prompt "<complete next turn>"      # plain text only
rove api send --task-id <id> --prompt-file - <<'EOF'              # anything else
<turn — backticks, $vars, quotes, multi-line, all verbatim>
EOF

# Reply home: no --task-id inside a dispatched task = the dispatcher's tab.
rove api send --prompt "succeeded: <one line> (branch <final branch>)"

# A task can hold several Terminal Tabs. `get-task` lists ONE task's tabs (the
# usual read before addressing one); `inspect` is the wider diagnostic — every
# task's snapshot plus daemon activity and live pty sessions.
rove api inspect --task-id <id>
rove api send --task-id <id> --tab tab-3 --prompt "<turn>"  # exact alive tab
rove api send --task-id <id> --tab new --prompt "<turn>"    # fresh engine tab
# Same worktree, DIFFERENT agent — the API twin of the TUI's ctrl+e pick. The
# engine is pinned to that tab (survives restarts, unaffected by a later
# update --command) and the task's own engine is left alone. --tab new only.
rove api send --task-id <id> --tab new --command codex --prompt "<turn>"

rove api get-task --task-id <id>
# One read for the whole round — the groupId `add --count` returned. Never
# hand-copy N task ids across turns: collect by group. Lost the groupId? Any
# sibling task's `.groupId` in `list` output recovers it.
rove api collect --group <groupId> --pretty
rove api list --pretty

.running is true / false / null. It means an ENGINE PROCESS is alive in one of the task's engine tabs — a live shell, command, or content tab alone does not count, and neither does an engine tab whose engine exited (the PTY survives it as a login shell; each tab reports that as engineAlive). null means the pty host could not be asked: "couldn't look", NOT "nothing is running". Never act on null as if it were false — deleting a task on it destroys a worktree that may hold live work. It is process truth, not progress: a task whose work is merged and whose worker has signed off still reads true until somebody deletes it (see "A task is finished when it is GONE"). Omitting BOTH --task-id and --tab inside a task that has a dispatcher targets that dispatcher's tab (see the reply rule above); otherwise the target is the active task. Omitting only --tab targets a live engine tab (tab-1 first, then any surviving engine tab). Trap: omitting only --task-id while giving --tab tab-N inside a dispatched task delivers to tab-N of the DISPATCHER's task — the dispatcher's id fills in for --task-id, but an explicit --tab is kept, so your send --tab tab-3 lands in the middle of another session's tab-3, not yours. Target your own task's tab with --task-id "$ROVE_TASK_ID" --tab tab-N. Only when the task has NO live session at all does send auto-start the canonical engine in the task's worktree (started: true in the result marks that fresh session). If live tabs exist but none resolves as an engine, it refuses with NO_ENGINE_TAB — address one with --tab tab-N or spawn one with --tab new; it never silently spawns a duplicate engine. Its hint names pty-list — the live-PTY read (key, alive, pid, command); use it when .tabs[] and reality disagree.

Show full SKILL.md (1,680 more words)Show less

Terminal panes

Split the workspace terminal the user is watching (tmux-style) or open a separate command tab — the attached TUI performs it, so this is a no-op headless:

bash
# Split the focused tab; the pane runs the command through your login
# shell's `-ilc` (so it sees the same rc-exported PATH the engine tab does)
# and closes when it exits. Omit --command for an interactive shell.
rove api pane-open --command "btop"
rove api pane-open --direction down --command "watch -n1 git status -sb"
rove api pane-open --placement tab --title logs --command "tail -f app.log"

# Close panes you opened, by their --title (engine panes are never closed).
rove api pane-close --title logs

# Close one whole Terminal Tab by the id from `get-task .tabs[]`.
# This works with or without an attached TUI.
rove api tab-close --task-id <id> --tab tab-3

# Toast a one-liner in every attached Rove UI — surface "done / needs input /
# error" moments without touching any session (kinds get severity styling).
rove api notify --title "build green, artifacts in dist/" --kind done

Defaults: the caller's own task ($ROVE_TASK_ID, then the active task), --placement split, --direction right. Alternate right/down to build a grid; screen size bounds splitting — a split that would shrink any pane below the minimum usable size (20×6 cells) falls back to a tab. Panes land in the USER'S live workspace — open them when asked (monitors, logs, dashboards), don't scatter panes for work add should own.

Lifecycle

VerbPurpose
update --task-id ID [--title T] [--branch B] [--command CMD] [--model M] [--effort L] [--pinned true|false] [--status S] [--report-branch B --report-pr N --report-summary TEXT]Change any combination of fields in one call: validated first, applied branch → command → model/effort → title → pinned → status; not atomic (a mid-way failure reports applied). --command takes effect on the next launch; --tab tab-N with --title renames that tab. --status sets the lifecycle LABEL (backlog/in_progress/in_review/done/canceled/error) — cosmetic: the row, its Worktree, its branch and its engine all stay, and canceled does NOT close or clean up anything. --report-* (need --status) record what you delivered: update --task-id "$ROVE_TASK_ID" --status in_review --report-pr N
set-active --task-id ID / --noneChange shared active task
ensure-worktree --task-id IDMaterialize without starting an engine
land --task-id ID [--strategy merge|squash] [--delete-branch] [--remove-worktree=false]Merge the task's branch into the base repo's current branch; the Worktree is removed by default (--remove-worktree=false keeps it). The branch always stays; dirty/self/base removals are refused, outcome in the result's worktree field
delete --task-id ID [--force] [--delete-branch]Remove task + Worktree; the git branch stays unless --delete-branch (and --force never implies it)
discover-adoptable --repo PATHFind untracked Worktrees
adopt --repo PATH --worktree PATHImport a Worktree
"Close this task" means delete

delete is the ONLY verb that ends a task: it removes the row and its Worktree, and the git branch survives as the durable record. update --status canceled is a label — the row, Worktree, branch and engine all stay, so a "close" done that way changes nothing the user can see. Reach for delete whether or not the work merged; an unmerged branch is still on disk afterwards, which is what makes this recoverable.

There is no "hide the row without deleting" verb (archive was removed).

Deleting still needs the user to ask for it in that turn — say what you would remove and wait. --delete-branch (or --force on a dirty Worktree) destroys the recoverable half and needs its own explicit authorization; the two flags are never implied by one another.

Issue tracker

Issues are daemon-owned, not repo files:

bash
rove api issue-list --repo "$PWD" --pretty
rove api issue-create --repo "$PWD" --title "title" --body "context"
rove api issue-update --repo "$PWD" --id <n> --status done
rove api issue-update --repo "$PWD" --id <n> --title "new" --body "body"
rove api issue-update --repo "$PWD" --id <n> --task <taskId>   # link; `--task none` unlinks
Kanban semantics

The TUI and web render issues as a Backlog / In progress / Done board whose columns derive from the issue's own lifecycle — do NOT move cards with issue-update --status doing:

  • In progress = the issue has a linked task; issue-update --task <taskId> IS the move (typical flow: issue-create → add a task → link them).
  • Done = status done; the daemon mirrors it automatically when the linked task finishes.
  • Backlog = everything else (open/doing/hold, unlinked).

Choosing the engine (--command)

Rove picks an engine by COMMAND, not by a vendor name. --command on add and send --tab new takes either an engine id from rove api engine-list (claude, codex, …, plus any preset the user registered) or a full command line Rove runs verbatim:

bash
rove api engine-list --pretty                      # ids + the RAW command each runs
rove api add --repo "$PWD" --command "codex --search" --prompt "…"

Nothing validates an engine's flags — that is your job. Before dispatching an unfamiliar engine or an unfamiliar flag, probe it yourself (<cmd> --help, <cmd> --version) and only then compose the command. A bad command line starts a session that dies or ignores you; Rove will not catch it for you.

Model is a conscious either/or — default to WITHOUT. Your own model knowledge is training-data stale; the user's engine default is fresher than your guess, and model ids you have never heard of are routinely valid.

  • Without a model (the default): compose the command with no model flag — the session runs on the user's own default for that engine. Choose this whenever the user did not name a model this turn.
  • With a model (explicit request only): the user named a model → pin it, passing their string VERBATIM (--help first to confirm the flag exists; never "correct" an unfamiliar model id to one you know).
bash
rove api add --repo "$PWD" --command claude --prompt "…"                    # user's default model
rove api add --repo "$PWD" --command claude --model "<id as the user wrote it>" \
  --prompt "…"                                     # user named a model this turn
# `--model` is gated per engine (BAD_MODEL when the engine has no model flag);
# `engine-list` prints each engine's `models` as suggestions, never a closed set.
# `--tier swift|standard|deep` fills engine+model+effort from Settings → Auto
# effort instead — exclusive with --command/--model/--effort.

Omit --command to use the repo's default engine. engine-list's protocol field says how much Rove understands about an entry — generic means it launches fine but Rove reads no history and pre-answers no trust dialog.

Parallel-round rules

Spawn a parallel round (add --count N / --agents) only when the user requests parallel approaches, comparison, or an explicit count. Give each round a scoped prompt, report returned IDs, then use collect to compare. Do not recursively fan out from spawned tasks. Do not poll send in a tight loop or use it as casual chat; every call is a full engine turn.

Communicate at handoffs, not at every step

Default to one complete task brief and one final outcome. Send an interim message only when it changes the recipient's next action: a blocking dependency, a file-ownership or interface conflict, a scope correction, or evidence that makes their current approach invalid. Resolve routine choices within the assigned scope without asking the dispatcher.

Do not send receipt acknowledgements, skill-loaded notices, starting-work announcements, routine progress, or acknowledgements of acknowledgements. An incoming message does not by itself require a response. Answer explicit questions once; bundle related findings and review corrections into one message with artifact paths. Forward only the facts the recipient needs, not the research trail or messages already delivered.

Before send, ask: does this unblock or change work now? If not, include it in the final report. If a handoff contract has already been agreed, do not reconfirm it. Avoid status pings; use a bounded read-only get-task or collect when an actual coordination decision needs current state.

The dispatcher gives the user concise milestone updates; workers need not relay those updates back to the dispatcher. Do not create another task solely to coordinate or review a small, reversible change.

Completion flows back through an engine tab (send)

Outcomes are explicit, never inferred — and they travel as a MESSAGE to the spawning agent's engine tab, not as stored state nobody reads.

Worker side — a task created from inside another Rove task records its dispatcher (the creating task + tab); when the work is finished, a bare rove api send --prompt "<succeeded|failed>: <one line> (branch <final branch>)" routes the outcome back to that exact tab. Include the final branch name — the spawner needs it to land. Use the BARE form: an explicit --task-id <spawner> skips dispatcher routing and lands on that task's canonical engine tab, which can be a different agent's session.

Name your branch before you report it. A new task starts on an auto-generated placeholder branch (new-task, duck, …); you are the only party who knows what the work turned out to be. Once the shape is clear, rename it to a short descriptive name in this repo's own convention:

bash
rove api update --task-id "$ROVE_TASK_ID" --branch <descriptive-slug>

Do this while you work, not at the end — the branch name is what the user reads in the sidebar to tell your task from its siblings.

"Succeeded" means COMMITTED. Green tests in your working tree are not a deliverable — the only thing land can merge is commits on your branch. Before reporting success: git status clean, your work committed with a real message (you wrote the code; you write its message). A worker that ran everything, passed everything, and committed nothing has delivered nothing — that exact mismatch has shipped empty merges before.

Rove checks this at the moment you claim it: a succeeded: report from a managed task whose branch has 0 commits is refused with EMPTY_SUCCESS_REPORT and never reaches the coordinator. Commit, then send. When the task genuinely produced no commits — an investigation, a review, a question answered — say so explicitly with --allow-empty:

bash
rove api send --allow-empty --prompt "succeeded: no bug — root cause is upstream, see notes"

"CI is green" means checkState: passing. A local test run is not CI: it does not run the other jobs, the other platform, or the merge gates. Rove polls your PR's checks and keeps the answer on the task —

bash
rove api get-task --task-id "$ROVE_TASK_ID"   # .task.prStatus.checkState

none (no PR yet) / pending (still running) / passing / failing / unknown. Anything but passing is not green. Report what the field says, not what your local run implied.

Coordinator side — do NOT block or poll. Keep working (or end your turn); each worker's outcome arrives in your chat as a [ROVE PEER] message with its task id. What arrives is the worker's claim, not Rove-verified — verify the winner's actual diff before landing. Silence never proves a worker died (it may be mid-turn or stuck on a permission prompt): peek with collect/get-task, nudge with send, and never mark a silent task failed or auto-retry it.

A task is finished when it is GONE

The dispatcher closes tasks. A worker cannot delete itself, so when it reports "done" the round is not over — its engine is still running, its Worktree still holds a branch, and its row is still in the sidebar.

None of these mean a task is finished:

Looks finalWhat it actually is
the worker said "done"a message; it has no verb to remove itself
its PR is MERGEDthe code landed; the task did not move
its issue is status donea field in a different store
update --status canceleda label — see Lifecycle above

The only evidence is that rove api list no longer shows it. Check the task, not the paperwork:

bash
rove api get-task --task-id <id>   # .running true = its engine is still alive
rove api delete --task-id <id> --wait

--wait is what turns "queued" into an answer; without it the call returns before the Worktree is gone.

Before ending a round, sweep for both halves — they drift apart:

bash
rove api list          # tasks whose work is done but which are still here
git worktree list      # directories no task claims (delete finds tasks by id,
                       # so a stray one is only reachable via git)

A worker that has taken over main in its Worktree will block the dispatcher's own checkout — a release cannot even start until that task is closed.

Closing a round

After comparing attempts, finish the round instead of leaving tasks behind:

bash
# Land the winner: merge its branch into the base repo's CURRENT branch.
# Verify the base checkout is on the intended branch first.
rove api land --task-id <winner>

# Delete the losers: task + worktree go away, the git branch survives
# (recoverable). NOT --delete-branch — that destroys history and needs
# explicit user authorization.
rove api delete --task-id <loser1>
rove api delete --task-id <loser2>

land refuses a dirty base checkout; on merge conflict it aborts cleanly and returns the conflicted files for manual resolution. delete removes a loser's Worktree but keeps its branch (recoverable); --delete-branch destroys the history and is never part of closing a round without explicit user authorization.

© Sma1lboy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in .agents/skills/rove of Sma1lboy/rove.

  • SKILL.md
  • references/api-flags.md

Open the folder on GitHubat commit 139a8cb

Compare with similar skills

Rove 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.

Rove compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Rove this skillSma1lboy/rove160—~8.9kAutomated safety check: PassMIT
Agtx Task Sweepfynnfluegge/agtx1.7k—~1.7kAutomated safety check: PassApache-2.0
Devcontainer Devstacklok/toolhive-studio170—~3.8kAutomated safety check: NotesApache-2.0
Parallel Feature ManagersCotal-AI/Cotal313—~5.3kAutomated safety check: PassApache-2.0
PmApra-Labs/apra-fleet101—~5.4kAutomated safety check: PassCustom licence
Swarmguaardvark/guaardvark257—~746Automated safety check: PassMIT

Similar skills

  • Agtx Task Sweep

    fynnfluegge/agtx

    Breaks a conversation's results into feature-level tasks and pushes them to the agtx kanban board, where each task gets its own worktree and agent session.

    1.7k GitHub stars~1.7k tokensUpdated 7 days ago
    Agent WorkflowsAuto-check passed
  • Devcontainer Dev

    stacklok/toolhive-studio

    Spin up and interact with ToolHive Studio's containerized dev environment (Xvfb + noVNC + DinD).

    170 GitHub stars~3.8k tokensUpdated today
    Agent WorkflowsAuto-check: notes
  • Run several independent Cotal features concurrently by creating one Git worktree and one spawn-capable mesh manager per feature; each manager staffs a review panel in a dedicated channel, adds one…

    313 GitHub stars~5.3k tokensUpdated today
    Agent WorkflowsAuto-check passed
  • Pm

    Apra-Labs/apra-fleet

    Project Manager skill. An agent skill from Apra-Labs/apra-fleet.

    101 GitHub stars~5.4k tokensUpdated today
    Agent WorkflowsAuto-check passed
  • Swarm

    guaardvark/guaardvark

    Launch and watch Guaardvark's Swarm Orchestrator: parallel coding agents, each in its own git worktree, working a markdown plan and merging back deterministically.

    257 GitHub stars~746 tokensUpdated today
    Agent WorkflowsAuto-check passed
  • Agent Deck

    asheshgoplani/agent-deck

    agent-deck, the terminal session manager for AI coding agents.

    1k GitHub stars~1.7k tokensUpdated 3 days ago
    Agent WorkflowsAuto-check passed

More from Sma1lboy/rove

All 13 skills in this repo
  • Image Gen

    Sma1lboy/rove

    Generate a single image from a text prompt using the MiniMax image generation API.

    160 GitHub stars~927 tokensUpdated today
    Auto-check passed
  • Hyperframes Design

    Sma1lboy/rove

    Non-animation creative direction for HyperFrames videos. An agent skill from Sma1lboy/rove.

    160 GitHub stars~1.2k tokensUpdated today
    Auto-check passed
  • Changelog Generator

    Sma1lboy/rove

    Draft Rove release notes as Changesets. An agent skill from Sma1lboy/rove.

    160 GitHub stars~1.5k tokensUpdated today
    Auto-check passed
  • File Issue

    Sma1lboy/rove

    Turn a rough idea, a bug, or a batch of unsolved problems into well-structured GitHub issue(s) and file them with gh, auto-classifying type + labels from the content (recommend, then confirm) and…

    160 GitHub stars~2.4k tokensUpdated today
    Auto-check passed
  • Unslop

    Sma1lboy/rove

    Strip AI writing tells from Rove's user-facing prose — README, the docs/ pages that sync to docs.rove.run, landing copy, and release notes.

    160 GitHub stars~1.3k tokensUpdated today
    Auto-check passed
  • Why

    Sma1lboy/rove

    A skill your agent uses for 'why does X work this way', 'why we picked Y', '为什么这么设计', design rationale, regressions, or where a magic number came from.

    160 GitHub stars~5.6k tokensUpdated today
    Auto-check passed

Questions about Rove

What does Rove do?

A skill your agent uses when controlling Rove tasks, parallel coding attempts, hosted agent sessions, task lifecycle, or the daemon-owned issue tracker from a shell. Rove is an agent skill from Sma1lboy/rove. Use when controlling Rove tasks, parallel coding attempts, hosted agent sessions, task lifecycle, or the daemon-owned issue tracker from a shell.

When should I use Rove?

Rove fits situations like: controlling Rove tasks; parallel coding attempts; hosted agent sessions; the daemon-owned issue tracker from a shell.

How do I install Rove in Claude Code?

Run `npx skills add Sma1lboy/rove --skill rove -a claude-code`. Or copy the skill folder (.agents/skills/rove in Sma1lboy/rove) into .claude/skills/rove in your project. Claude Code loads it when a task matches its description.

How do I install Rove in Codex?

Run `npx skills add Sma1lboy/rove --skill rove -a codex`. Or copy the skill folder (.agents/skills/rove in Sma1lboy/rove) into .agents/skills/rove in your project. Codex loads it when a task matches its description.

Can I use Rove 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 Sma1lboy/rove --skill rove -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rove, .gemini/skills/rove, .github/skills/rove and .opencode/skills/rove in your project.

What does Rove need to run?

Going by SKILL.md and its folder, Rove needs the command-line tools its instructions call (git, claude and kind).

Does Rove access the network?

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

Is Rove 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 Rove use?

Rove 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 Rove use?

About 8.9k tokens (SKILL.md is roughly 36k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.4k tokens, read only when the agent opens those files.

What are the alternatives to Rove?

Skills that share tags, products or a category with Rove: Agtx Task Sweep (fynnfluegge/agtx, 1.7k stars), Devcontainer Dev (stacklok/toolhive-studio, 170 stars), Parallel Feature Managers (Cotal-AI/Cotal, 313 stars) and Pm (Apra-Labs/apra-fleet, 101 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Rove?

Sma1lboy (a GitHub user) maintains it in Sma1lboy/rove, which has 160 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 8, 2026.

Source: Sma1lboy/rove on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.