undefined-ui/second-brain-os/second-brain-backfill

Claude Code and agent skill by undefined-ui/second-brain-os

Trust tier 3
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Checking that the SKILL.md file is still in the repository.

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.

Install

npx vskill@latest install undefined-ui/second-brain-os/second-brain-backfill

SKILL.md

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.

  1. 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.

  1. Batch of ten. Ingest following second-brain-ingest.
  2. Checkpoint: update index.md, append to log.md, commit with the batch

range in the message, report counts.

  1. Stop and wait before the next batch.
  2. 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.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
563
Repository forks
97
7-day trend score
32

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

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