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murmur-curate-learnings

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Actualizado11 de julio de 2026 a las 01:55

Promote mature Murmur learnings journal entries into an agent's binding Recurring patterns. Use when the user asks to curate lessons, promote repeated learnings, or names an agent learnings file under `.codex/learnings/`.

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

murmur-io

murmur-io/murmur

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SKILL.md

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name	murmur-curate-learnings
description	Promote mature Murmur learnings journal entries into an agent's binding Recurring patterns. Use when the user asks to curate lessons, promote repeated learnings, or names an agent learnings file under `.codex/learnings/`.

Murmur Curate Learnings

Curate the compounding-lessons loop for one agent. The expected input is an agent name that maps to .codex/learnings/<agent>.md.

Steps

Validate the requested agent exists under .codex/learnings/. If unknown, list valid agents and stop.
Read .codex/learnings/<agent>.md and scan ## Run journal for entries with Status: journal.
Find lessons that recur: two or more journal entries pointing at the same failure mode, or one entry the operator confirms is load-bearing.
For each promotion, add one tight imperative bullet to ## Recurring patterns. Match the existing terse style and keep the section to about 20 bullets; if full, merge or drop the weakest existing bullet and say which.
Mark each source journal entry **Status:** distilled (<today>), using date +%F.
Do not invent lessons that are not in the journal.
Report which bullets you added or merged and which journal entries you marked distilled.

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name	murmur-curate-learnings
description	Promote mature Murmur learnings journal entries into an agent's binding Recurring patterns. Use when the user asks to curate lessons, promote repeated learnings, or names an agent learnings file under `.codex/learnings/`.

Murmur Curate Learnings

Curate the compounding-lessons loop for one agent. The expected input is an agent name that maps to .codex/learnings/<agent>.md.

Steps

Validate the requested agent exists under .codex/learnings/. If unknown, list valid agents and stop.
Read .codex/learnings/<agent>.md and scan ## Run journal for entries with Status: journal.
Find lessons that recur: two or more journal entries pointing at the same failure mode, or one entry the operator confirms is load-bearing.
For each promotion, add one tight imperative bullet to ## Recurring patterns. Match the existing terse style and keep the section to about 20 bullets; if full, merge or drop the weakest existing bullet and say which.
Mark each source journal entry **Status:** distilled (<today>), using date +%F.
Do not invent lessons that are not in the journal.
Report which bullets you added or merged and which journal entries you marked distilled.