Claude Skill

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 downloa

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Download undefined-ui-second-brain-os-skills_second-brain-backfill-347feee.zip · 1 KB
Part of undefined-ui/second-brain-os — 18 skills

Install

skills CLI npx skills add https://github.com/undefined-ui/second-brain-os/tree/main/skills/second-brain-backfill
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install undefined-ui-second-brain-os@llmmart
Git git clone https://github.com/undefined-ui/second-brain-os.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole undefined-ui/second-brain-os collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

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.

Files (second-brain-os)
  • SKILL.md 2 KB
    ---
    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.
    

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