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Meilisearch

Deploy and tune Meilisearch with indexing, filtering, and production configuration.

skill openclawclawhub Free
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High Signal

Deploy and tune Meilisearch with indexing, filtering, and production configuration.

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 8 sections Open source page

Index Configuration Traps

filterableAttributes and sortableAttributes must be declared BEFORE adding documents โ€” adding later triggers full reindex Changing any index setting triggers reindex โ€” batch all setting changes together Order of searchableAttributes affects ranking โ€” put most important fields first, not alphabetical displayedAttributes defaults to all โ€” explicitly limit to reduce response size

Indexing Pitfalls

Document updates are async โ€” the API returns taskUid, must poll /tasks/{uid} for actual completion Primary key inference fails on nested or array fields โ€” always set primaryKey explicitly Batch size affects indexing speed โ€” 10-50MB batches optimal, not one document at a time Updating one field requires sending the whole document โ€” no true partial updates

Typo Tolerance Issues

First character is never typo-tolerant โ€” "tset" won't match "test", by design Typo tolerance on IDs/codes causes false matches โ€” disable per attribute with typoTolerance.disableOnAttributes Min word length defaults: 1 typo at 5 chars, 2 typos at 9 chars โ€” adjust if matching too aggressively

Filtering Mistakes

Filters on undeclared filterableAttributes silently return empty โ€” no error, just no results Geo filtering requires _geo field with lat/lng โ€” field name is hardcoded, can't customize Filter syntax is NOT SQL โ€” use TO for ranges (year 2020 TO 2024), not BETWEEN Empty array in IN clause causes error โ€” check array length before building filter

Search Behavior

Default limit is 20, max is 1000 per request โ€” no deep pagination, use filters to narrow Multi-word queries match ANY word by default โ€” use quotes for phrase matching Highlighting only works on searchableAttributes โ€” not on stored-only fields Facets distribution counts include all matching docs โ€” not affected by limit parameter

Production Configuration

Master key MUST be set in production โ€” without it, all endpoints are public Create search-only API keys for frontend โ€” never expose master key Snapshots are the only backup method โ€” schedule them, no continuous replication No clustering โ€” single node only, scale vertically with RAM

Performance Realities

Index lives in memory-mapped files โ€” RAM determines max index size Payload limit is 100MB per request โ€” split large imports into batches Indexing blocks during settings update โ€” queries still work but new docs queue Task queue has no priority โ€” large reindex blocks small document adds

API Key Restrictions

Keys can restrict to specific indexes โ€” use for multi-tenant isolation Keys can have expiresAt โ€” but no auto-rotation, must manage manually Actions are granular โ€” search, documents.add, indexes.create, settings.update, etc. Invalid key returns 401, missing key on protected instance returns 401 โ€” same error, check both

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc