Skip to main content

second-brain-backfill

Import a large archive into the vault in controlled batches: triage what is worth ingesting, process oldest first, checkpoint after every batch, and keep cost visible. Use this skill whenever the user wants to import years of bookmarks, an export from another notes app, a downloads folder, a chat history dump, or says "backfill", "bulk import", "process my archive". Do NOT use for ingesting one or a few new sources, which is second-brain-ingest.

Informações da origem

Repositório
undefined-ui/second-brain-os
Última atividade na origem
8 de setembro de 2026 às 00:15
Idioma detectado do SKILL.md
inglês
Estrelas
1.094
Forks
178

Opções de instalação

Por padrão, está selecionado o prompt que primeiro revisa a origem. Você pode mudar para um comando direto ou baixar uma cópia local.

Revise os arquivos de origem

Leia o SKILL.md e os arquivos complementares exibidos pelo SkillsMP antes de decidir se vai instalar.

Exibindo SKILL.md

SKILL.md
Instruções da origem · Visualização somente leitura
name
second-brain-backfill
description
Import a large archive into the vault in controlled batches: triage what is worth ingesting, process oldest first, checkpoint after every batch, and keep cost visible. Use this skill whenever the user wants to import years of bookmarks, an export from another notes app, a downloads folder, a chat history dump, or says "backfill", "bulk import", "process my archive". Do NOT use for ingesting one or a few new sources, which is second-brain-ingest.
# Backfill an archive A backfill is where cost and quality both go wrong quietly. Done in the wrong order it also inverts the vault's history, because later sources should update pages that earlier ones created. ## Core rule Oldest first, ten sources per batch, stop for a go-ahead between batches. ## Workflow 1. **Triage before ingesting.** Read titles and first paragraphs. Sort into worth-ingesting, keep-in-raw, and delete. Most archives are half dead links and things saved but never opened. 2. **Order by date, oldest first.** Run it the other way and every old source arrives as a contradiction against a page that already has the final answer. 3. **Batch of ten.** Ingest following `second-brain-ingest`. 4. **Checkpoint:** update `index.md`, append to `log.md`, commit with the batch range in the message, report counts. 5. **Stop and wait** before the next batch. 6. **Full lint at the end.** Large imports always leave orphans and duplicates. ## Output format ``` Batch <n>/<total>: <range> Ingested: <n> sources -> <n> new pages, <n> updated, <n> links Skipped: <n> (reason) Running total: <n> of <n> Next batch: <what it contains> ``` ## Calibration Read every page the first batch produced, all of them. A flaw you let through in batch one is a flaw in four hundred pages by the end, and fixing it afterwards costs more than the original run. If the archive is over about two hundred sources, propose a filter before starting rather than quoting the full cost.
Ver no GitHub