meilisearch
Skill3 starsChanged 3 months agoMITView on GitHub
Designs, configures, and debugs Meilisearch indexing, search settings, filters, ranking rules, synonyms, typo tolerance, multi-tenant indexes, and reindex/backfill flows. Use when adding Meilisearch, changing search relevance, debugging missing results, tuning facets, or operating search indexes.
In this repository47 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
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- backend-craftSkill
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The file
We split this skill into the rules it gives an agent
11 rules. About 0 are common, 11 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈11
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Use this for search-backed product features and operational search workflows.
- Distinctive: line 14
Read existing index definitions, sync/backfill jobs, search clients, auth rules, settings, and tests.
- Distinctive: line 24
Keep document IDs stable.
- Distinctive: line 26
Avoid indexing secrets, private prompts, tokens, or raw sensitive content.
- Distinctive: line 28
Treat settings changes as migrations: apply consistently and verify.
- Distinctive: line 33
Use filters/facets for structured constraints.
- Distinctive: line 34
Add synonyms only when they reflect real domain language.
- Distinctive: line 35
Test typo tolerance against real queries, not only ideal examples.
- Distinctive: line 40
Prefer idempotent indexing jobs.
- Distinctive: line 55
search results bypass authorization
- Distinctive: line 59
delete path missing from sync
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Meilisearch
Use this for search-backed product features and operational search workflows.
Project Fit Check
Before changing search:
- Read existing index definitions, sync/backfill jobs, search clients, auth rules, settings, and tests.
- Identify whether indexes are global, tenant-scoped, user-scoped, or mixed.
- Confirm which fields are searchable, filterable, sortable, displayed, and safe to expose.
- Preserve existing relevance policy unless the task is to tune it.
- Plan reindexing and rollback before changing settings or document shape.
Index Rules
- Keep document IDs stable.
- Store only fields needed for search and display.
- Avoid indexing secrets, private prompts, tokens, or raw sensitive content.
- Make tenant/user ownership enforceable before query results reach the user.
- Treat settings changes as migrations: apply consistently and verify.
Relevance Rules
- Tune searchable attributes before adding complex ranking hacks.
- Use filters/facets for structured constraints.
- Add synonyms only when they reflect real domain language.
- Test typo tolerance against real queries, not only ideal examples.
- Record meaningful relevance changes in docs or changelog.
Sync And Backfill
- Prefer idempotent indexing jobs.
- Track source record id, index name, version, and last indexed timestamp when operations need observability.
- Handle deletes and permission changes, not only creates/updates.
- Batch conservatively and retry safely.
Verification
- fixture search tests for relevance-critical queries
- permission tests for tenant/user boundaries
- backfill smoke test on a small sample
- manual query check for changed facets or ranking rules
Red Flags
- search results bypass authorization
- private fields indexed for convenience
- settings changed without reindex plan
- relevance tuned from one anecdotal query
- delete path missing from sync
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