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batch-rewrite-pattern

Cascade the same edit pattern across N files safely. Use when applying the same refactor to multiple files (e.g. swap import paths across 11 scripts, rename a symbol, migrate a call signature). Detects the common-shape-across-files situation and turns an N-file cascade into a planned audit → apply → verify workflow instead of N sequential manual edits.

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Batch Rewrite Pattern

When the same edit needs to land in N files, the worst shape is N sequential manual passes. Each pass collects its own errors; the hook system retriggers; context fills with repetitive diffs. This skill captures the better shape.

Triggers

Activate when any of these apply:

  • Renaming a symbol across the tree
  • Migrating a function signature (add/remove/reorder args)
  • Swapping an import path across modules
  • Converting between two patterns (callbacks ↔ promises, v1 ↔ v2 API)
  • Any edit where you can describe the transformation as "in every file matching pattern X, replace Y with Z"

Typical count trigger: ≥ 4 files warrant the batch shape.

Workflow

  1. Characterize the transformation in one paragraph:

    • What's the before pattern? (regex or literal)
    • What's the after pattern?
    • Are there variants? (single pattern vs family of patterns)
    • Any files that should be exempt?
  2. Enumerate candidates with Grep/Glob:

    Grep pattern=BEFORE output=files_with_matches
    
  3. Dry-run the rewrite against 1-2 candidates first. Verify:

    • The transformation is correct
    • Surrounding context isn't disturbed
    • No collateral damage
  4. Apply in a batch — prefer a single Bash sed/perl invocation or a small rewrite script over N sequential Edit calls:

    for f in $(grep -l 'BEFORE' src/**/*.ts); do
      sed -i -e 's/BEFORE/AFTER/g' "$f"
    done
    

    Or write a one-shot node script that reads each file, applies the transformation, writes back.

  5. Verify with the test suite if one exists, or with a grep that the after-pattern is uniformly present and the before-pattern is gone.

  6. Single commit covering the whole cascade, scope line listing files.

Anti-patterns to avoid

  • Sequential manual Edit calls when the transformation is deterministic. Each Edit triggers hook re-reads and bloats context.
  • Partial cascades — leaving some files on the old pattern because you got interrupted halfway. Either all or none; use git stash to revert if the cascade was wrong.
  • Branching transformations without a plan — when "most files" follow one pattern but a few need a variant, enumerate the variants first and handle each as its own batch.

Example — Config Adapter Cascade (v1.49 release-history work)

Situation: 11 scripts in tools/release-history/ each had a direct pg.Client instantiation and hardcoded paths. Needed to convert all 11 to use loadConfig() + openDb(cfg).

Right shape:

  1. Wrote the adapter (db.mjs) once
  2. Characterized the transform: replace new pg.Client({...}) block with await openDb(cfg); replace hardcoded paths with cfg.*_abs
  3. Applied to each file in one Bash loop or parallel sed invocation
  4. One commit

Wrong shape (what actually happened): 11 sequential Read-plus-Edit cycles, 35+ read-before-edit hook fires, recursive pattern-matching at each step.

The lesson: when you feel yourself about to do the same edit for the fourth time, stop and batch the rest.

Companion Tools

  • Grep with output_mode: files_with_matches to enumerate candidates
  • Bash with sed -i or a small rewrite script for the cascade
  • Grep again to verify the before-pattern is gone and after-pattern is uniformly present

Related

  • file-operation-patterns — safe bulk file operations
  • decision-framework-invoker — use when the batch is irreversible

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