Agent skill

agtx One-Shot Project Runner

by fynnfluegge in fynnfluegge/agtx

Runs a whole project unattended on an agtx kanban board, decomposing the goal, starting tasks, unblocking workers and merging each result.

Apache-2.0Auto-check passedAgent Workflows

Install agtx One-Shot Project Runner

skills CLI
$ npx skills add fynnfluegge/agtx --skill agtx-oneshot -a claude-code

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

GitHub CLI
$ gh skill install fynnfluegge/agtx agtx-oneshot --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/fynnfluegge/agtx.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/oneshot .claude/skills/agtx-oneshot && 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
agtx-oneshot
GitHub stars
1.7k
Token cost
~3.8k tokens
SKILL.md length
2,172 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
Apache-2.0

At a glance

Runs a whole project unattended on an agtx kanban board, decomposing the goal, starting tasks, unblocking workers and merging each result.

  • Works in 2 steps: Call list_projects and take the… → Check tui_connected in that response. If…
  • Running a large goal to completion unattended on an agtx board
  • SKILL.md covers Before anything else: verify…, Four things that differ from a…, Decomposition and The loop, plus 3 more sections
  • Calls claude and git

What it does

The agent takes over all five board columns (Backlog, Planning, Running, Review and Done) that a person would normally manage, unlike the built-in orchestrator, which only advances Planning to Review. It decomposes the goal into tasks, decides what starts, watches the workers, unblocks them, judges Review and merges, while the workers do the coding and the agent never writes feature code itself.

Before starting it verifies the board is live: it lists projects to get the project ID, checks that the agtx TUI is connected because nothing executes without it, confirms auto_trust is on through the get_config tool rather than reading the config file, and has you open the coding agent once in the project root to accept its trust prompt. Without those checks, tasks park as Blocked waiting for a human. The MCP server is registered with claude mcp add.

When your agent uses it

  • Running a large goal to completion unattended on an agtx board
  • Breaking a project into board tasks and merging each finished one
  • Unblocking stuck workers during a long autonomous run

Example prompts

  • “One-shot the whole billing rewrite on the agtx board and merge each task once it passes review.”
  • “Check that my agtx board is live and auto_trust is on before the long run.”

Requirements

  • The agtx TUI running on the project
  • The agtx MCP server registered with your agent
  • auto_trust enabled in the global agtx config

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Call list_projects and take the project_id of this project; pass it to every other
  2. Check tui_connected in that response. If it is false, no TUI is draining the

What it can do on your machine

Read from SKILL.md and the folder at commit 8ae6868. 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:

    • claude
    • git

    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

agtx One-Shot Project Runner loads about 3.8k tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 2,172 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~3.8k

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 fynnfluegge/agtx at commit 8ae6868, republished under its Apache-2.0 licence (© fynnfluegge). 2,172 words, ~3,785 tokens.

Download SKILL.mdSave it as .claude/skills/agtx-oneshot/SKILL.md (or your agent's skills folder).
name
agtx-oneshot
description
One-shot a whole project on an agtx board: decompose the goal, run every task unattended, unblock the workers, and merge each one. Use when the user wants a long autonomous run rather than a single session.
disable-model-invocation
true

agtx — One-Shotting a Project

You are one-shotting a project on an agtx kanban board: a goal too large for one session, run to completion unattended. Ordinarily a person sits at the board and does this. Here, you are that person.

This is not the built-in orchestrator (O), which only advances Planning → Running → Review and refuses to touch Backlog. You own all five columns: you decompose the goal into tasks, decide what starts, watch the workers, unblock them, judge Review, and merge. The workers do the coding; you never write feature code yourself.

Backlog → Planning → Running → Review → Done
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              all of it is yours

Before anything else: verify the board is live

Nothing you do executes unless the agtx TUI is running. move_task writes a row to a queue; the TUI drains it and performs the real work — worktree creation, agent spawn, skill deployment. With no TUI, every transition sits pending forever and the board looks frozen for no visible reason.

  1. Call list_projects and take the project_id of this project; pass it to every other agtx tool. If the MCP server does not answer, tell the user to register it and stop:
    bash
    claude mcp add --scope user agtx -- agtx mcp-serve
    If this project is not listed, it has never been opened in agtx — ask the user to run agtx in the project root, which is needed anyway (below). Then call list_tasks.
  2. Check tui_connected in that response. If it is false, no TUI is draining the queue — ask the user to open agtx in another terminal on this project, and do not queue anything into a dead board.

Also confirm before a long unattended run:

  • Call get_config and check auto_trust. It must be true, or agents' trust and bypass-permission dialogs are detected but left unanswered and every task parks as Blocked waiting for a human who is not there. Use the tool — do not read ~/.config/agtx/config.toml yourself: AGTX_CONFIG_DIR relocates that file, so the path is not authoritative and you will get a stale answer. get_config also tells you which file to edit. auto_trust is global-only, so a project config cannot turn it on.
  • Open the coding agent once in the project root and accept its trust prompt before starting. Your own session parks on that dialog in a directory the agent has not seen, and an unattended run has nobody to answer it.
  • The project has a base branch and a clean tree.

Four things that differ from a normal agtx session

1. allowed_actions is not written for you. get_task computes that field for the built-in orchestrator, which is forbidden from triaging Backlog — so it comes back empty for every Backlog task. Ignore it. move_task itself does not enforce it: research, move_to_planning, move_to_running, move_forward, move_to_review, move_to_done and resume all work from here. The only real gate is dependencies (below).

2. No notifications reach you. get_notifications only fills when the built-in orchestrator is running. Assume it returns nothing. wait_for_board_change is your whole feedback loop (see The loop).

3. Read phase_status against phase_age_secs, never alone. list_tasks and get_task both carry the board's own verdict on each task:

phase_statusMeaning
workingThe agent is producing output. Leave it alone.
readyThe phase artifact was written this phase and the agent's turn is over — the phase is complete. Advance it.
blockedThe agent reported it is waiting on a human.
idleNo output for 15s. A guess, not a report.
exitedThe tmux window is gone.

tui_connected decides whether any of that is current. list_tasks and wait_for_board_change both carry it. When it is false, nothing is executing transitions and every phase_status is frozen at whatever was last observed — stop and tell the user; do not read those rows as task state. A task can show blocked while its agent works normally, purely because the TUI has exited.

phase_age_secs is the corroborating detail: the board republishes every live task on every pass, so a small age means "seen just now". Check tui_connected first — it is the direct answer; age is the symptom.

Two other signals, for when you need more than the verdict:

SignalHowUse
agent_stateget_task, hook-reportedblocked_reason names the exact prompt the agent is waiting on
read_pane_contentlast N lines of the paneGround truth, but costs context — diagnose with it, never poll with it

Artifact files are the fallback if phase_status is absent. For the default agtx plugin, relative to worktree_path: .agtx/research.md, .agtx/plan.md, .agtx/execute.md, .agtx/review.md. Other plugins declare their own under [artifacts] in plugins/<name>/plugin.toml.

4. Starting tasks is serialized, and that is fine. Worktree setup runs one at a time. Queue as many move_to_planning calls as you like in one pass — they line up and drain in order. A start waiting for the slot has simply not resolved yet. You do not need to poll get_transition_status: wait_for_board_change reports the outcome of every move you queued in its transitions list, and wakes you if one fails. Only an error means it will not happen.

Decomposition

A goal this size cannot be enumerated up front, and trying wastes the run. Work in waves.

  1. Write a milestone spine first — 4–8 milestones, coarse, in oneshot-state.md (below). Nothing goes on the board yet.
  2. Turn only the current milestone into tasks. One task = one reviewable, independently mergeable PR. create_tasks_batch takes up to 50 and wires dependencies by 0-based index into the same array (no forward references).
  3. When a milestone is mostly in Review/Done, write the next wave — informed by what the workers actually built, which is the point of not planning it all on day one.

Task quality decides whether the run survives:

  • Title: imperative, ≤ 8 words, ≤ 120 characters (hard cap — creation fails above it).
  • Description: 3–6 sentences. The worker agent has zero context from this conversation. Name the files, the interfaces it must match, the constraints, and what "done" looks like. A vague description is the single most common cause of a task that burns an hour and produces nothing.
  • Dependencies are a real gate. A Backlog task whose referenced tasks are not yet in Review or Done cannot be advanced at all — the move is refused. Use this deliberately to sequence, and don't over-wire it: a false dependency stalls a whole branch of the DAG.
json
create_tasks_batch({
  "tasks": [
    { "title": "Add entity component store", "description": "..." },
    { "title": "Add physics step over the store", "description": "...", "depends_on": [0] },
    { "title": "Add render pass over the store", "description": "...", "depends_on": [0] }
  ]
})

Keep 3–6 tasks running at once. More than that and you cannot actually supervise them, and the machine starts thrashing on parallel agent sessions.

The loop

Call wait_for_board_change, act on what it returns, and call it again. It blocks inside the server until something needs you, then returns only the tasks that changed since you last looked. The first call returns the whole board.

Do not sleep and re-list instead. Every poll is a turn, and every turn re-reads your entire context — so a run's cost is set by how many turns it takes far more than by what any one call returns. A task starting to work does not wake the wait; you hear about a task when it needs you.

Each time it returns:

  1. tui_connected: false → the TUI is gone and every phase_status is frozen. Stop and say so rather than acting on it.
  2. transitions → the outcome of each move you queued. An error is the one failure nothing else on the board shows; read it and act on it (see Review and merge for merge refusals and conflicts).
  3. For each task in tasks:
    • ready in Planning or Running → move_task with move_forward.
    • ready in Review → judge it (below).
    • blocked → get_task for blocked_reason. A permission or trust prompt is a config problem (auto_trust), not something to answer by typing into the pane — surface it to the user. A question: see Answering questions below.
    • idle → read_pane_content, then act on what you see. For an agent without hooks idle is a guess from pane output, so confirm before nudging.
    • exited → the session died. resume it, or investigate before restarting.
    • done → record it; its dependents may now start.
    • Backlog with deps_satisfied → start it if it fits the concurrency budget — move_to_planning. Starts serialize on their own.
  4. Update oneshot-state.md, then wait again.

timed_out: true means nothing needed you — wait again. It is not a reason to inspect every task.

Keep the board in oneshot-state.md, not in your head. The wait tells you what changed; the state file is what you apply it to. When your context has been compacted, or you are picking up a run, call list_tasks once to re-sync — it leaves descriptions out, and get_task has the full task when you need one. A session that has memorised a stale board makes confident wrong moves.

Show full SKILL.md (771 more words)Show less
Keeping durable state

Maintain oneshot-state.md in the project root. It is what a fresh session reads to pick up the run:

markdown
# Oneshot state — <goal>
Updated: <timestamp>

## Milestones
- [x] M1 core loop
- [ ] M2 world streaming   ← current wave
- [ ] M3 ...

## Board
| id | title | status | notes |
|----|-------|--------|-------|
| a1b2c3 | Add entity component store | Done | merged |
| d4e5f6 | Add physics step | Running | nudged once, was idle |

## Decisions
- Physics runs fixed-step at 60Hz; renderer interpolates. (M1, task a1b2c3)

## Open questions for the user
- (none)

Rewrite the Board table each pass; append to Decisions and Open questions. Decisions are what stop later tasks contradicting earlier ones.

Review and merge

Review is where an unattended run quietly produces garbage, so spend your judgment here rather than on scheduling.

  1. Read the diff (git -C <worktree_path> diff <base>...HEAD). Ask only: does this do what the task said, and does it break the milestone spine? You are not doing a line-level code review — the Review phase agent does that.

  2. If it is wrong, decide how wrong before acting. Small fixes go to the reviewer in place; resume is only for real rework.

    • A small, contained change — a wrong sentence, a missing guard, a rename, a test to add — send it with send_to_task while the task stays in Review. Say exactly what to change, and to commit and update .agtx/review.md when done. The reviewer makes it where it is: no transition, no second execute cycle. Its turn restarts, so phase_status reads working until it has finished; wait for ready, re-read the diff, then merge.
    • Significant rework — the approach is wrong, a requirement was missed, the work needs replanning — resume the task, then send_to_task the correction. resume puts the task back in Running, so when the agent is done you must move_forward to Review again before you can merge; merging straight after a resume is refused.

    Either way, act only once the agent has stopped. ready means that for an agent with hooks; for one without, read the pane first. An agent writes review.md and keeps working after it, and a message sent into a turn that has not ended lands in a busy pane. Vague feedback produces another wrong attempt, in either lane.

  3. Land it with move_to_done_and_merge. This merges the branch into its base in the project checkout and then moves the task to Done. Plain move_to_done keeps the branch and merges nothing — use it only if you are integrating some other way, otherwise you finish the run with N parallel branches and an empty base branch.

  4. On conflict the task stays in Review and its own agent is sent /agtx:merge-conflicts automatically, with the conflicting files named. The transition reports an error saying so. Do not retry immediately and do not try to resolve it yourself — wait for that task to go ready again, then call move_to_done_and_merge a second time.

  5. A refusal is about the project checkout, not the branch. "on X, not the base branch" or "has uncommitted changes" means someone left the project root dirty or on another branch. Nothing was changed. Tell the user — you must not switch their branch or stash their work to get around it.

  6. move_to_done is refused while the worktree has uncommitted changes. Different error, different fix: send_to_task telling the agent to commit, then retry. Do not queue it repeatedly; it will keep failing.

Merges are serialized with everything else the board does, so several tasks reaching Done in one pass is safe.

Answering questions

When a worker asks something, classify before acting:

  • A tool's yes/no prompt — the uppercase letter is the default; send_to_task it.
  • A numbered menu with a marked default — send that number.
  • A question about the goal that your milestone spine or Decisions already answers — answer it. That is why you keep those.
  • A question that changes the shape of the product, or a menu with no default, or a trust/permission prompt — stop and ask the user. Record it under Open questions and keep the rest of the board moving while you wait. Do not invent product decisions the user would want to make; a wrong answer here propagates into every later task.

If the same task goes idle twice after you nudged it, stop nudging. Escalate to the user or delete and rewrite the task with a better description.

Rules

  • You never write feature code. You write tasks, and oneshot-state.md.
  • Drive the run with wait_for_board_change, never with sleep. Use list_tasks to re-sync after a gap, never to poll.
  • Ignore allowed_actions; respect dependency refusals.
  • One task = one mergeable PR. Split anything with "and" in its title.
  • Cap concurrency at what you can actually supervise (3–6).
  • Nothing executes without the TUI. If transitions stop completing, or phase_age_secs climbs across the whole board, say so and stop.
  • Never touch the user's checkout to get a merge through — no branch switch, no stash.
  • Surface product decisions to the user rather than deciding them.
  • Report honestly. A milestone with three failed tasks is a result; say it plainly.

© fynnfluegge, Apache-2.0. 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/oneshot of fynnfluegge/agtx.

Open the folder on GitHubat commit 8ae6868

Compare with similar skills

agtx One-Shot Project Runner 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.

agtx One-Shot Project Runner compared with similar skills
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agtx One-Shot Project Runner this skillfynnfluegge/agtx1.7k—~3.8kAutomated safety check: PassApache-2.0
Harness LoopChachamaru127/claude-code-harness3.2k—~2.2kAutomated safety check: NotesMIT
MemPalace Task HandoffMemPalace/mempalace60k—~1.9kAutomated safety check: PassMIT
OMA Multi-Agent Orchestratorfirst-fluke/oh-my-agent1.3k—~3.1kAutomated safety check: PassMIT
Cursor Orchestratecursor/plugins11k—~1.1kAutomated safety check: PassNone
Hermes Mission ControlTh0rgal/sandboxed.sh524—~8.6kAutomated safety check: PassNone

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Questions about agtx One-Shot Project Runner

What does agtx One-Shot Project Runner do?

Runs a whole project unattended on an agtx kanban board, decomposing the goal, starting tasks, unblocking workers and merging each result. The agent takes over all five board columns (Backlog, Planning, Running, Review and Done) that a person would normally manage, unlike the built-in orchestrator, which only advances Planning to Review. It decomposes the goal into tasks, decides what starts, watches the workers, unblocks them, judges Review and merges, while the workers do the coding and the agent never writes feature code itself.

When should I use agtx One-Shot Project Runner?

agtx One-Shot Project Runner fits situations like: running a large goal to completion unattended on an agtx board; breaking a project into board tasks and merging each finished one; unblocking stuck workers during a long autonomous run.

How do I install agtx One-Shot Project Runner in Claude Code?

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

How do I install agtx One-Shot Project Runner in Codex?

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

Can I use agtx One-Shot Project Runner 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 fynnfluegge/agtx --skill agtx-oneshot -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agtx-oneshot, .gemini/skills/agtx-oneshot, .github/skills/agtx-oneshot and .opencode/skills/agtx-oneshot in your project.

What does agtx One-Shot Project Runner need to run?

Going by SKILL.md and its folder, agtx One-Shot Project Runner needs the command-line tools its instructions call (claude and git). Our summary lists: The agtx TUI running on the project; The agtx MCP server registered with your agent; auto_trust enabled in the global agtx config.

Does agtx One-Shot Project Runner 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 agtx One-Shot Project Runner 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 agtx One-Shot Project Runner use?

agtx One-Shot Project Runner is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does agtx One-Shot Project Runner use?

About 3.8k tokens (SKILL.md is roughly 15k 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 agtx One-Shot Project Runner?

Skills that share tags, products or a category with agtx One-Shot Project Runner: Harness Loop (Chachamaru127/claude-code-harness, 3.2k stars), MemPalace Task Handoff (MemPalace/mempalace, 60k stars), OMA Multi-Agent Orchestrator (first-fluke/oh-my-agent, 1.3k stars) and Cursor Orchestrate (cursor/plugins, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains agtx One-Shot Project Runner?

fynnfluegge (a GitHub user) maintains it in fynnfluegge/agtx, which has 1,713 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 2, 2026.

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