name	background-jobs
version	0.2.0
description	Orchestrate a long KB operation — migration, archive scan, enrichment batch, research backfill — as batched, checkpointed, resumable work with sample-before-bulk gates, and save/restore resumable context so a job survives across sessions. Trigger on 'run this KB job in batches', 'long/background KB job', 'save/resume KB progress', 'checkpoint this job'. Absorbs context-checkpoint. Recurring-schedule design lives in references/automation.md; the actual ingestion is done by ingest or media-ingest.
triggers	["run this kb job in batches","long background kb job","checkpoint this kb job","resume this kb job"]
allowed-tools	["Read","Write","Edit","Bash"]
disable-model-invocation	false
mutating	true

Background Jobs

Contract

Long jobs are batched, checkpointed, resumable, and validated after each batch; bulk writes only follow a passing sample.
Checkpoints capture enough state to resume without rescanning everything.
Secrets, raw private content, and long diffs are never stored in checkpoints.
Mutating skill: it may write checkpoint files and batch outputs, but it must stop before any strategy change that would widen scope, overwrite many pages, or discard failed work.

Intake And Modes

Treat $ARGUMENTS as the job goal plus optional vault root, source set, batch size, and resume checkpoint.
Quick mode: inspect or restore an existing checkpoint and report next safe action.
Standard mode: run a sampled batch, checkpoint state, validate, and summarize remaining work.
Deep mode: plan or execute a multi-batch migration/backfill with retries, validation gates, and resume instructions.
Use ask-user before changing batch scope, deleting checkpoint history, or continuing after repeated validation failure.

Evidence Requirements

Inspect the current checkpoint, target file list, changed files, and last validation output before resuming.
For migrations or enrichment backfills, verify the source map and sample output before bulk writes.

Workflow

Plan batch size, ordering, retry policy, and stop conditions.
Run a 3-5 item sample and inspect the output before bulk.
Checkpoint before and after each batch with checkpoint (branch, batch ids, files changed, validation, blockers, next step).
Validate citations, frontmatter, graph links, and indexes between batches.
On restore, load the latest checkpoint, verify current state, and resume from the next safe batch.

Operating System Backing

This skill is backed by the shared deterministic KB operations harness. Use these commands for audits, CI fixtures, and repeatable agent runs:

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/kb_ops.py" checkpoint
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/kb_ops.py" dashboard

Output Format

BACKGROUND JOB
Status: DONE, DONE_WITH_CONCERNS, BLOCKED, or NEEDS_CONTEXT.
Batch status, checkpoint path, completed, remaining, validation, blockers, next batch.
Artifact path: checkpoint at .kb/checkpoints/<YYYYMMDD>-<slug>.md or the user-specified checkpoint path.

Anti-Patterns

Running 100 items before inspecting the first 3.
Losing progress state between sessions, or storing secrets/transcripts in checkpoints.

Background Jobs

Contract

Long jobs are batched, checkpointed, resumable, and validated after each batch; bulk writes only follow a passing sample.

Checkpoints capture enough state to resume without rescanning everything.

Secrets, raw private content, and long diffs are never stored in checkpoints.

Mutating skill: it may write checkpoint files and batch outputs, but it must stop before any strategy change that would widen scope, overwrite many pages, or discard failed work.

Intake And Modes

Treat $ARGUMENTS as the job goal plus optional vault root, source set, batch size, and resume checkpoint.

Quick mode: inspect or restore an existing checkpoint and report next safe action.

Standard mode: run a sampled batch, checkpoint state, validate, and summarize remaining work.

Deep mode: plan or execute a multi-batch migration/backfill with retries, validation gates, and resume instructions.

Use ask-user before changing batch scope, deleting checkpoint history, or continuing after repeated validation failure.

Evidence Requirements

Inspect the current checkpoint, target file list, changed files, and last validation output before resuming.

For migrations or enrichment backfills, verify the source map and sample output before bulk writes.

Workflow

Plan batch size, ordering, retry policy, and stop conditions.

Run a 3-5 item sample and inspect the output before bulk.

Checkpoint before and after each batch with checkpoint (branch, batch ids, files changed, validation, blockers, next step).

Validate citations, frontmatter, graph links, and indexes between batches.

On restore, load the latest checkpoint, verify current state, and resume from the next safe batch.

Operating System Backing

This skill is backed by the shared deterministic KB operations harness. Use these commands for audits, CI fixtures, and repeatable agent runs:

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/kb_ops.py" checkpoint

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/kb_ops.py" dashboard

Output Format

BACKGROUND JOB

Status: DONE, DONE_WITH_CONCERNS, BLOCKED, or NEEDS_CONTEXT.

Batch status, checkpoint path, completed, remaining, validation, blockers, next batch.

Artifact path: checkpoint at .kb/checkpoints/<YYYYMMDD>-<slug>.md or the user-specified checkpoint path.

Anti-Patterns

Running 100 items before inspecting the first 3.

Losing progress state between sessions, or storing secrets/transcripts in checkpoints.

background-jobs

Background Jobs

Contract

Intake And Modes

Evidence Requirements

Workflow

Operating System Backing

Output Format

Anti-Patterns

이 저장소의 다른 Skills

이 저장소의 다른 Skills

Background Jobs

Contract

Intake And Modes

Evidence Requirements

Workflow

Operating System Backing

Output Format

Anti-Patterns