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Ejecuta cualquier Skill en Manus con un clic

marshail-learn

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Actualizado22 de junio de 2026 a las 20:52

MARSHAIL Learn stage. Fallback skill for environments without subagent support. Triggers on "merge the phase learnings", "produce learning-rollup.md", "promote learnings into AGENTS.md / rules / skills / agents / knowledge inbox", "draft a new rule / skill / subagent from learnings", "close the loop on this change". Runs learning rollup inline in the current session.

Instalación

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

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Fuente

crestreach

crestreach/marshail

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SKILL.md

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name	marshail-learn
description	MARSHAIL Learn stage. Fallback skill for environments without subagent support. Triggers on "merge the phase learnings", "produce learning-rollup.md", "promote learnings into AGENTS.md / rules / skills / agents / knowledge inbox", "draft a new rule / skill / subagent from learnings", "close the loop on this change". Runs learning rollup inline in the current session.

marshail-learn (fallback — no-subagent environments)

This skill performs the work that the marshail-learner subagent does, but inline in the current session, for tools that don't support custom subagents.

Source of truth: marshail-learner.md. Read it and follow its Inputs / Workflow / Outputs / Exit criteria / Handoff sections exactly. Do not duplicate that content here.

If subagents are available, prefer marshail-delegate-to-learn so the work runs in fresh context.

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name	marshail-learn
description	MARSHAIL Learn stage. Fallback skill for environments without subagent support. Triggers on "merge the phase learnings", "produce learning-rollup.md", "promote learnings into AGENTS.md / rules / skills / agents / knowledge inbox", "draft a new rule / skill / subagent from learnings", "close the loop on this change". Runs learning rollup inline in the current session.

marshail-learn (fallback — no-subagent environments)

This skill performs the work that the marshail-learner subagent does, but inline in the current session, for tools that don't support custom subagents.

Source of truth: marshail-learner.md. Read it and follow its Inputs / Workflow / Outputs / Exit criteria / Handoff sections exactly. Do not duplicate that content here.

If subagents are available, prefer marshail-delegate-to-learn so the work runs in fresh context.