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algolia-migration-deep-dive

Plan and carry out a migration to Algolia by mapping data, queries, filters, and ranking behavior. Validate a new index against representative searches, then prepare an approved traffic cutover with acceptance criteria and a rollback procedure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Plan and execute a reversible migration from another search system or legacy index design to Algolia. Use when translating schemas, queries, relevance behavior, or production traffic. Trigger with "migrate to Algolia", "Algolia cutover", or "search engine migration".

실행 점수 미검증

설치 방법 보기

이럴 때 유용합니다

  • Migrating an existing search system to Algolia
  • Checking search results and interface behavior before migration
  • Planning a production cutover with rollback steps

포함된 파일(2)

  • SKILL.md3.9 KB
  • references/official-docs.md1.3 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Algolia Search Migration

Overview

This skill treats migration as a measured compatibility program: source data, query semantics, ranking, filters, UI behavior, traffic, and rollback are assessed separately before cutover.

Prerequisites

  • A named repository, environment, and Algolia application or index in scope
  • The local lockfile and installed client types as implementation authority
  • A safe read-only query or explicitly disposable test target
  • Current first-party documentation for any provider behavior that affects the change

Tool Discipline

Use Read, Glob, and Grep to inspect local code, configuration names, tests, and dependency versions. Use WebFetch only for current official Algolia documentation. Use Write or Edit only after identifying the target files, constraints, and verification plan.

Current Contract

  • Preserve the source system as the rollback authority until acceptance criteria pass.
  • Translate capabilities from observed queries and product journeys, not feature-name similarity.
  • Build a new target index and avoid in-place destructive conversion.
  • Compare relevance with a representative, owner-approved query set and explicit tolerances.

Authentication

Use separate least-privilege credentials for source reads, Algolia writes, and browser search. Keep all secret material outside migration artifacts.

Instructions

  1. Inventory source schema, analyzers, queries, filters, facets, ranking behavior, traffic, and operational constraints.
  2. Define the Algolia record model, stable IDs, settings, synonyms, rules, and unsupported semantic gaps.
  3. Backfill a new target index from a reproducible source snapshot and retain task receipts.
  4. Run structural checks, representative query comparisons, latency observations, and UI acceptance tests.
  5. Shadow or canary traffic when available, with named rollback thresholds and owners.
  6. Cut over only after approval, then reconcile drift and retain the rollback window.

Approval Boundaries

Do not overwrite the current production index, declare relevance equivalence from a few queries, or retire the source system before rollback expiry.

Output

Return the capability map, data transform, gap register, backfill evidence, query comparison, cutover plan, acceptance decision, and rollback procedure.

Error Handling

ConditionResponse
Unsupported query featureDocument the gap and design an approved product alternative.
Record counts differReconcile filtering, deletes, and source snapshot boundaries.
Relevance regressesKeep source traffic and tune against the approved query set.
Rollback data driftsDefine dual-write or replay before cutover.

Examples

Use this compact input and expected handoff to calibrate scope and evidence quality.

Input:

source=legacy-search; snapshot=snap-184; target=products_algolia_next

Expected handoff:

records=reconciled; query-suite=198/200; two-gaps=owner-review; cutover=not-started

Resources

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