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- 2026년 6월 23일 12:15
- 감지된 SKILL.md 언어
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/majiayu000/claude-skill-registry --skill using-ntm명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
SOC 직업 분류 기준
| name | using-ntm |
| description | Use NTM as the out-of-session substrate for unattended AgentOps loops. |
AgentOps 3.0 runs its loops in session and ships no daemon, scheduler, or
overnight runner. To run the loop unattended — always-on, scheduled,
queue-driven — you hand it to an orchestration substrate. The reference
substrate is NTM + MCP + managed-agents; this skill covers the NTM leg: a
local Named Tmux Manager swarm of Claude/Codex agent panes. NTM is an adopted
external tool (ntm on PATH), not an AgentOps-owned surface.
Skills are the runtime, not the CLI. The substrate dispatches a whole loop by spawning an agent that runs the $rpi or $evolve skill — it does not shell out to a retired CLI subprocess. Those terminal wrappers are retired; the loop lives as a skill an agent executes. The seam is NTM pane → agent → $rpi , one bead dispatched as one invocable unit.
Use it when: you want a bead queue worked unattended out of session; you're standing up or tending an NTM swarm that runs AgentOps loops; a pane is stuck, rate-limited, or wedged; you need to know whether the swarm has converged.
Skip it when: the work fits a single in-session run (run $rpi or $evolve yourself); you want in-session parallel fan-out across worktrees (use $swarm); you're choosing between automation shapes (start at $automation-shape-routing).
This skill does not re-document the full ntm command surface — run
ntm help. It covers the AgentOps substrate contract: how to dispatch and
tend AgentOps loops on an NTM swarm.
$rpi <bead> (one cycle) or $evolve (the outer loop). The substrate never
decomposes the loop into per-phase steps — whoever owns the loop owns its
invariants, and AgentOps owns the loop. Dispatch the skill; don't reimplement it.$rpi, $evolve,
$validation resolve in-pane.bd ready, picks the next
bead, and dispatches it to a free worker pane.# 1. Spawn a swarm of agent panes against the repo (2 Claude + 1 Codex worker).
ntm spawn agentops --cc=2 --cod=1
# 2. Dispatch a whole loop to a pane — the SKILL, not a CLI subprocess.
ntm send agentops --pane=1 "$rpi ag-1234"
ntm send agentops --pane=2 "$evolve --beads-only"
# 3. Watch / attach.
ntm activity agentops # per-pane agent state
ntm attach agentops # drop into the swarm
# 4. Health + dependencies (run before a long unattended session).
ntm doctor # validate the NTM ecosystem
ntm deps # required agent CLIs present
Scheduled cadence (e.g. a nightly $evolve pass) is driven by host-OS timing (a
systemd user timer or cron) that runs ntm send … "$evolve", or by a
managed-agent driver — not an AgentOps daemon.
Run one tick at a time; take the first action whose trigger fires:
bd ready bead.bd) — shared work queue + state source: bd ready, bd update --claim, bd close.ao mcp serve) — cross-pane messages + file reservations (reserve before edit, release on commit).Done when bd ready is empty, no pane has an in-flight bead, and the last few CI
runs are green. Confirm with ntm activity (all idle) + bd ready (empty) before
ntm kill <session>. Don't shut down on a transient quiet patch — a rate-limited
pane also looks idle.
$rpi / $evolve skill instead.ao agent) or a plain in-session run are equally valid legs. Choose via $automation-shape-routing.ao agent bundle produces the loop definition a managed-agents substrate runs.