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/hashgraph-online/awesome-codex-plugins --skill ntm명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
Coordinate agents via the AMQ CLI for file-based inter-agent messaging. Use this skill whenever you need to send messages to another agent (codex, claude, or any named handle), check your inbox, drain queued messages, set up co-op mode between agents, join a swarm team, route messages across projects, or diagnose delivery issues. Also use it when you receive a message and need to know how to reply, inspect receipts, or handle priority. Covers any multi-agent coordination task where agents need to talk to each other — review requests, questions, status updates, decision threads, wake notifications, and orchestrator integration (Symphony, Kanban). For collaborative spec/design workflows specifically, prefer the /amq-spec skill which provides structured phase-by-phase guidance. Not intended for distributed systems design (RabbitMQ, Kafka), CI/CD pipelines, or single-agent tasks with no partner.
Parallel-research-then-converge design workflow between two agents. Use this skill when the user wants two agents to independently think through a design problem before aligning on a solution — "spec X with codex", "design X together", "both agents think through X", "brainstorm architecture together", "parallel research then joint proposal", "think through separately then align", "careful thought from both sides before coding", or any variation where the user wants collaborative design rather than just splitting implementation work. Also use this when you receive a message labeled workflow:spec and need to know the correct receiver-side protocol. Not for sending simple messages or reviews (use /amq-cli), implementing completed designs, or creating document templates.
Use when defining new features, product behavior, UI/component design, architecture choices, contract changes, or ambiguous medium/high-complexity work before implementation, or when the user asks to grill or pressure-test a plan or design.
SKILL.md 표시 중
| name | ntm |
| description | Use NTM as an optional pane adapter for |
NTM hosts explicit agent roles in persistent panes. It is transport, not an AgentOps lifecycle controller. The caller chooses the panes, roles, commands, write scopes, and stopping point.
Robot surfaces work because they report what the pane is doing, not what was sent to it; a dispatch layer that only proved delivery would let every dead worker look busy.
Judge pane liveness by the truth-stack, strongest first: new artifacts on disk, then transcript growth, then robot state and attention flags, then bare process existence. A successful prompt send sits below all of these and proves nothing about work.
Named failure mode — kill-the-witness: restarting a stuck pane before capturing its state, destroying the only evidence of why it stalled.
Anti-pattern: restarting an unresponsive pane as the default remedy. Corrective: rescue before restart — snapshot robot state and transcript, attempt a nudge, and restart only when the truth-stack shows no liveness at any level.
ntm --help,
ntm --robot-capabilities, and ntm --robot-snapshot before unfamiliar
actions.For a software-factory layout, the caller may name producer, tester, validator,
or integrator panes. The same identity rule still applies: a validator for a
candidate must have a distinct context identity from its author. Merely placing
two roles in different panes is a declared runtime fact, not proof of semantic
independence. Mixed-model judgment panes follow
the agent-native model-dispatch recipe (probe, disclose, never
claude -p).
Return:
Terminal outcomes are explicit, never a silent hang:
ntm absent or the robot surface unreachable: report it
and stop; do not fall back to blind key injection or assume the pane is idle.Prefer machine-readable robot surfaces for capability, snapshot, attention, tail, and pipeline observations. Use interactive key injection only when the caller explicitly requests an interactive action and no robot command provides the needed behavior.
External NTM documentation and examples remain the authority for command syntax;
this skill owns only the AgentOps boundary above. NTM's CLI drifts across
versions, so confirm the surface at runtime (ntm --version,
ntm --robot-capabilities) rather than trusting a remembered command.