Agent skill

Algolia Observability

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Instrument an Algolia integration for actionable availability, latency, freshness, relevance, and event-health signals.

MITAuto-check passedDevOps & Cloud

Install Algolia Observability

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill algolia-observability -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace algolia-observability --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/algolia-observability .claude/skills/algolia-observability && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
algolia-observability
GitHub stars
2.8k
Token cost
~993 tokens
SKILL.md length
381 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Instrument an Algolia integration for actionable availability, latency, freshness, relevance, and event-health signals.

  • Works in 6 steps: Define the user journey, owned SLOs,… → Instrument operation, outcome, duration,… → Add freshness markers linking source… → …
  • Defining dashboards
  • SKILL.md covers Overview, Prerequisites, Tool Discipline and Current Contract, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Algolia Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace. Instrument an Algolia integration for actionable availability, latency, freshness, relevance, and event-health signals. Use when defining dashboards, alerts, traces, or service objectives. Trigger with "monitor Algolia", "Algolia metrics", or "search observability".

Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Designed for Claude Code

It sits in DevOps & Cloud, covering Search implementation and Observability. It works with Algolia. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Defining dashboards
  • Service objectives
  • With monitor Algolia
  • Algolia metrics

Example prompts

  • “monitor Algolia”
  • “Algolia metrics”
  • “search observability”
  • “/algolia-observability”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, WebFetch, Write, Edit

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Define the user journey, owned SLOs, current baseline, and incident-routing owner.
  2. Instrument operation, outcome, duration, index alias, environment, SDK version, request ID, and bounded retry count.
  3. Add freshness markers linking source snapshot, task completion, and searchable sentinel.
  4. Measure no-result and event coverage using privacy-reviewed aggregation.
  5. Build dashboards and alerts from sustained error-budget or baseline deviation, not a copied threshold.
  6. Test telemetry during success, denial, timeout, stale-index, and event-failure scenarios.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep
    • WebFetch
    • Write
    • Edit

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • algolia.com
    • status.algolia.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Algolia Observability loads about 993 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 72 tokens; SKILL.md has 381 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~993
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 381 words, ~993 tokens.

Download SKILL.mdSave it as .claude/skills/algolia-observability/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
algolia-observability
description
Instrument an Algolia integration for actionable availability, latency, freshness, relevance, and event-health signals. Use when defining dashboards, alerts, traces, or service objectives. Trigger with "monitor Algolia", "Algolia metrics", or "search observability".
allowed-tools
Read, Glob, Grep, WebFetch, Write, Edit
compatibility
Designed for Claude Code
argument-hint
[repository-path] [service-or-journey]
version
1.8.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
saas, algolia, observability
model
inherit
effort
medium

Algolia Search Observability

Overview

This skill instruments the application-owned search journey rather than substituting generic provider claims. It connects client outcomes, request IDs, index publication, source freshness, and product-level relevance indicators.

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

  • Derive thresholds and objectives from the product SLO and measured baseline; do not use universal latency numbers.
  • Separate application latency from Algolia request latency and rendering time.
  • Track source snapshot to completed indexing task to searchable sentinel for freshness.
  • Treat event delivery and query-ID coverage as their own health surface.

Authentication

Telemetry must exclude API keys, raw personal data, sensitive queries, and unrestricted record payloads. Use approved read-only monitoring access where provider data is needed.

Instructions

  1. Define the user journey, owned SLOs, current baseline, and incident-routing owner.
  2. Instrument operation, outcome, duration, index alias, environment, SDK version, request ID, and bounded retry count.
  3. Add freshness markers linking source snapshot, task completion, and searchable sentinel.
  4. Measure no-result and event coverage using privacy-reviewed aggregation.
  5. Build dashboards and alerts from sustained error-budget or baseline deviation, not a copied threshold.
  6. Test telemetry during success, denial, timeout, stale-index, and event-failure scenarios.
Show full SKILL.md (116 more words)Show less

Approval Boundaries

Do not log secrets or raw sensitive queries, create arbitrary alert thresholds, or enable high-cardinality labels without review.

Output

Return the signal catalog, field and redaction schema, SLO mapping, dashboards, alerts, synthetic checks, test evidence, and known blind spots.

Error Handling

ConditionResponse
Request ID unavailablePreserve local trace correlation and full redacted error metadata.
High cardinality detectedAggregate or hash approved identifiers.
Provider and app latency differSplit the spans and investigate the dominant segment.
No product SLO existsReport measurements and request an owner decision.

Examples

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

Input:

text
journey=product-search; slo=company-owned; fields=operation,outcome,duration,index

Expected handoff:

text
secret-fields=blocked; freshness-sentinel=pass; alert-threshold=baseline-derived

Resources

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/algolia-observability of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/official-docs.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Algolia Observability next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Algolia Observability compared with similar skills
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Oss Alternativestinyfish-io/tinyfish-cookbook2.2k—~2.2kAutomated safety check: PassMIT
Elk StackBagelHole/DevOps-Security-Agent-Skills1.2k—~2.3kAutomated safety check: PassMIT
Cloud Provisioningelastic/agent-skills592—~5.4kAutomated safety check: PassApache-2.0
Implementing Log Forwarding With Fluentdmukul975/Anthropic-Cybersecurity-Skills34k—~697Automated safety check: PassApache-2.0

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Works with

Questions about Algolia Observability

What does Algolia Observability do?

Instrument an Algolia integration for actionable availability, latency, freshness, relevance, and event-health signals. Algolia Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace. Instrument an Algolia integration for actionable availability, latency, freshness, relevance, and event-health signals.

When should I use Algolia Observability?

Algolia Observability fits situations like: defining dashboards; service objectives; with monitor Algolia; algolia metrics.

How do I install Algolia Observability in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill algolia-observability -a claude-code`. Or copy the skill folder (skills/.curated/algolia-observability in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/algolia-observability in your project. Claude Code loads it when a task matches its description.

How do I install Algolia Observability in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill algolia-observability -a codex`. Or copy the skill folder (skills/.curated/algolia-observability in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/algolia-observability in your project. Codex loads it when a task matches its description.

Can I use Algolia Observability in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill algolia-observability -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/algolia-observability, .gemini/skills/algolia-observability, .github/skills/algolia-observability and .opencode/skills/algolia-observability in your project.

What does Algolia Observability need to run?

SKILL.md names no scripts, command-line tools or credentials: Algolia Observability is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, WebFetch, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code.

Does Algolia Observability access the network?

SKILL.md names 2 domains. As links in the text: algolia.com and status.algolia.com. This is read from the text; nothing was executed.

Is Algolia Observability safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Algolia Observability use?

Algolia Observability is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Algolia Observability use?

About 993 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 333 tokens, read only when the agent opens those files.

What are the alternatives to Algolia Observability?

Skills that share tags, products or a category with Algolia Observability: Elk Stack (sickn33/agentic-awesome-skills, 47k stars), Oss Alternatives (tinyfish-io/tinyfish-cookbook, 2.2k stars), Elk Stack (BagelHole/DevOps-Security-Agent-Skills, 1.2k stars) and Cloud Provisioning (elastic/agent-skills, 592 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Algolia Observability?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.