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algolia-deploy-integration

Plan and verify deployment of an Algolia-backed application with separated browser and server credentials

Install / Use

npx skills add jeremylongshore/tons-of-skills-marketplace --skill algolia-deploy-integration

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

85/100

Category

Operations

Supported Platforms

Universal

Tags

Our assessment of algolia-deploy-integration

algolia-deploy-integration scores 85/100 on our quality scale, 384th of 548 Operations skills we index.

Its SKILL.md is 4.0 KB long, well organised into 12 sections with 2 code examples: a solid amount of guidance for an agent.

With 2,785 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
18/20
Description
12/15
Adoption
15/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 6 days ago, so algolia-deploy-integration is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

algolia-deploy-integration compared with similar skills

All 4 of these similar skills score higher than algolia-deploy-integration; compare them before choosing.

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Frequently asked questions

How do I install algolia-deploy-integration?
Run npx skills add jeremylongshore/tons-of-skills-marketplace --skill algolia-deploy-integration. The install tabs above show the steps for each supported agent.
Which AI agents does algolia-deploy-integration work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is algolia-deploy-integration safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is algolia-deploy-integration still maintained?
The repository was last updated 6 days ago, so algolia-deploy-integration is actively maintained.

name: algolia-deploy-integration description: >- Plan and verify deployment of an Algolia-backed application with separated browser and server credentials. Use when releasing search code, index configuration, or event instrumentation. Trigger with "deploy Algolia", "Algolia production rollout", or "search release checklist". argument-hint: "[repository-path] [environment]" allowed-tools: Read, Glob, Grep, WebFetch, Write, Edit version: 1.8.0 author: Jeremy Longshore jeremy@intentsolutions.io license: MIT tags:

  • saas
  • algolia
  • deployment model: inherit effort: medium compatibility: Designed for Claude Code

Algolia Deployment Integration

Overview

This skill coordinates application deployment with the Algolia assets it depends on. It treats code, records, settings, keys, and events as separate release surfaces with explicit ordering and rollback.

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

  • The browser receives only a search-only or secured key; write-capable keys stay in trusted server or job environments.
  • Pin application and index names per environment rather than deriving production targets from branch names.
  • Complete indexing tasks and representative queries before routing production traffic.
  • Deploy event instrumentation only after user-token, consent, query ID, and validation behavior are reviewed.

Authentication

Provision custom least-privilege keys through the approved secret store. Never place Admin keys in static build variables, client bundles, deployment logs, or preview environments.

Instructions

  1. Map the deploy platform, runtime boundaries, environment variables, index targets, and current rollback mechanism.
  2. Verify client packages and API usage against the pinned lockfile and current first-party docs.
  3. Prepare or verify target records, settings, synonyms, and rules before the application cutover.
  4. Deploy server and browser configuration with credential separation and redacted logging.
  5. Run a read-only health check plus representative search tests against the intended target.
  6. Record release SHA, index state, task receipts, smoke results, and rollback trigger.

Approval Boundaries

Do not overwrite production indices, rotate keys, promote settings, or enable events as an implicit side effect of application deployment.

Output

Return the release topology, environment map, credential classification, ordered deployment plan, smoke evidence, rollback steps, and unresolved approvals.

Error Handling

| Condition | Response | |---|---| | Browser bundle contains write key | Stop deployment and rotate the exposed credential. | | Target index is stale | Hold traffic and complete or rollback indexing. | | Health check passes but relevance fails | Use representative query gates, not connectivity alone. | | Rollback target unknown | Do not cut over. |

Examples

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

Input:

release=abc123; environment=production; browser-key=search-only; server-key=custom-write

Expected handoff:

index-task=complete; smoke=pass; representative-queries=pass; rollback=previous-release

Resources

Related Skills

View on GitHub
GitHub Stars2.8k
CategoryOperations
Updated6d ago
Forks404

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions