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algolia-prod-checklist

Run a fail-closed production readiness review for an Algolia-backed search release

Install / Use

npx skills add jeremylongshore/tons-of-skills-marketplace --skill algolia-prod-checklist

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

85/100

Supported Platforms

Claude Code

Our assessment of algolia-prod-checklist

algolia-prod-checklist scores 85/100 on our quality scale, 1757th of 3,845 Development & Engineering skills we index (top 46%).

Its SKILL.md is 3.8 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-prod-checklist 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-prod-checklist compared with similar skills

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

SkillScoreStarsUpdatedFormat
algolia-prod-checklist (this skill)by jeremylongshore852.8k6d agoSKILL.md
ai-job-searchby MadsLorentzen10044.5ktodayCLAUDE.md
claude-howtoby luongnv8910041.7k4d agoCLAUDE.md
algorithmic-artby anthropics100177.9k7d agoSKILL.md
pptxby anthropics100177.9k7d agoSKILL.md

Frequently asked questions

How do I install algolia-prod-checklist?
Run npx skills add jeremylongshore/tons-of-skills-marketplace --skill algolia-prod-checklist. The install tabs above show the steps for each supported agent.
Which AI agents does algolia-prod-checklist work with?
It is written for Claude Code, as a SKILL.md file. Other agents that read the same format can often use it too.
Is algolia-prod-checklist 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-prod-checklist still maintained?
The repository was last updated 6 days ago, so algolia-prod-checklist is actively maintained.

name: algolia-prod-checklist description: >- Run a fail-closed production readiness review for an Algolia-backed search release. Use when promoting new indices, settings, credentials, UI behavior, or event tracking. Trigger with "Algolia production checklist", "search go-live", or "Algolia launch review". argument-hint: "[repository-path] [release-sha]" allowed-tools: Read, Glob, Grep, WebFetch, Write, Edit version: 1.8.0 author: Jeremy Longshore jeremy@intentsolutions.io license: MIT tags:

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

Algolia Production Readiness Review

Overview

This skill consolidates the release evidence needed to decide whether an Algolia search surface is ready. It uses organization-owned SLOs and policies rather than hard-coded latency or response targets.

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

  • Bind all evidence to a release SHA, target application, index state, and source snapshot.
  • Verify least-privilege browser, server, indexing, monitoring, and event credentials separately.
  • Exercise representative relevance, filter, facet, empty-state, error, and accessibility paths.
  • Require tested rollback for both application code and index or settings state.

Authentication

Confirm secret-store ownership, key ACLs, index restrictions, rotation, and exposure scans. Never include credential values in the readiness packet.

Instructions

  1. Freeze the candidate SHA and inventory code, records, settings, synonyms, rules, keys, and event surfaces.
  2. Run schema, unit, integration, security, accessibility, and representative query gates.
  3. Verify indexing tasks, counts, sentinel records, environment mapping, and rollback target.
  4. Review observability against owned SLOs and exercise alert or incident routing.
  5. Validate event consent, stable user tokens, query IDs, and provider event validation where applicable.
  6. Record pass, fail, waiver owner, evidence link, expiration, and final go/no-go decision.

Approval Boundaries

Do not waive a failed security, rollback, data-integrity, or required branch-protection gate without the named authority and durable evidence.

Output

Return a release-bound checklist, evidence links, failed and waived gates, credential matrix, rollback rehearsal, approvers, and explicit go/no-go outcome.

Error Handling

| Condition | Response | |---|---| | Evidence belongs to another SHA | Rerun or reject it. | | Rollback not rehearsed | Hold production promotion. | | Threshold has no owner | Treat it as observation, not a gate. | | Required gate pending | Outcome remains no-go. |

Examples

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

Input:

release=abc123; app=production; index=products_20260910; source=snap-184

Expected handoff:

required=31/31-pass; waivers=0; rollback=rehearsed; decision=go

Resources

Related Skills

View on GitHub
GitHub Stars2.8k
CategoryDevelopment
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