EX

exa-observability

Provides instrumentation for tracking Exa API metrics, search latency, and health monitoring.

Install

mkdir -p .claude/skills/exa-observability && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4829" && unzip -o skill.zip -d .claude/skills/exa-observability && rm skill.zip

Installs to .claude/skills/exa-observability

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Set up monitoring, metrics, and alerting for Exa search integrations.
69 charsno explicit “when” trigger
Intermediate

Key capabilities

  • →Instrument Exa client for metrics emission
  • →Track search latency by type
  • →Monitor cache hit and miss rates
  • →Configure Prometheus alert rules

How it works

The skill provides code patterns to instrument the Exa client, emit metrics for latency and errors, and define alert rules for production monitoring.

Inputs & outputs

You give it
Exa API integration
You get back
Observability metrics and alerts

When to use exa-observability

  • →Monitor search API latency
  • →Configure dashboard for search metrics
  • →Set up alerts for API failures
  • →Track cache hit/miss rates

About this skill

Exa Operational Telemetry

Overview

Instrument Exa calls with content-free metrics, traces, cost, and asynchronous lifecycle signals that support diagnosis without logging retrieved text. Treat credentials, queries, retrieved content, generated output, spend, and destructive state as separately governed boundaries.

Prerequisites

  • The target repository, environment, Exa team, product surface, and accountable owner.
  • The workload's data classification, latency and freshness promise, cost ceiling, and retention policy.
  • Current first-party documentation plus credentials only for a narrowly approved live check.

Current Contract

Exa responses expose request IDs and often costDollars; errors expose status and tags; Contents exposes per-URL statuses. Agent, Monitor, Webset, and Batch operations add IDs, states, queues, events, and terminal outcomes that must be reconciled separately.

Authentication

For normal REST work, inject EXA_API_KEY from an approved server-side secret manager and send it only as Authorization: Bearer to the configured first-party Exa API host. Team Management service keys, hosted MCP OAuth or enterprise managed authorization, and payment-protocol calls are separate trust models. Never print, commit, place in a URL, or expose a credential to an untrusted client.

Instructions

  1. Define service-level objectives for each endpoint and asynchronous product.
  2. Emit endpoint, status, tag, latency, attempt, result count, and request ID safely.
  3. Measure Contents status mix and freshness mode rather than logging page content.
  4. Track run age, terminal state, webhook lag, queue depth, and reconciliation drift.
  5. Attribute cost by environment, workload, key, product, and owner.
  6. Alert on error-class shifts, stalled state, throttling, overload, credit risk, and missing events.

Tool Discipline

Use Read, Glob, and Grep to inspect repository code, configuration, fixtures, and evidence. Use Write and Edit only for approved implementation or documentation changes. Do not call Exa, run paid research, create or alter a Monitor, Webset, Agent run, Batch, team, member, API key, budget, webhook, or deployment merely because this skill was invoked.

Approval Boundaries

Require an accountable owner before live queries involving sensitive intent, production credentials, spend or rate-limit changes, forced live crawling, generated summaries, external delivery, deployment, member or key changes, schedule creation, or destructive cancellation, stopping, deletion, or revocation. Read-only repository inspection and synthetic offline validation do not authorize live vendor actions.

Failure Modes

  • Raw queries, URLs, highlights, summaries, and outputs are not safe default labels.
  • HTTP success can hide partial Contents failures.
  • Webhook delivery metrics without run reconciliation can report false completion.

Output

Return the operation scope, environment, team and product surface, authorization class, contract and policy decisions, deterministic validation results, content-free identifiers, status and cost counts, risks, cleanup or rollback state, and a concise pass or fail receipt. Exclude credentials, raw queries, prompts, presigned URLs, retrieved content, generated output, and customer-derived data unless separately approved.

Example

  • A trace records request ID, Search type, content mode, result count, latency, cost, and redacted policy outcome, never the query or text.
  • Finish with request or resource IDs, assertion counts, cost and terminal state, rollback or deletion status, and the decision owner; never reproduce secrets or retrieved content.

Validation

Rerun the smallest relevant deterministic test, compare actual behavior with the requested outcome and current first-party contract, verify sensitive fields are absent from evidence, and confirm deadlines, terminal state, downstream retention, and rollback before reporting success.

References

Review the dated first-party evidence map before relying on any endpoint, parameter, search type, price, limit, beta, compliance, identity, retry, or lifecycle claim.

When not to use it

  • →When the application lacks a metrics backend

Prerequisites

Exa API integration in productionMetrics backend (Prometheus, Datadog, or OpenTelemetry)Alerting system

Limitations

  • →Requires integration with a metrics backend
  • →Alerting depends on external systems like PagerDuty or Slack

How it compares

It provides specific metrics and alert thresholds tailored to Exa's performance characteristics, such as search type latency and cache hit rates.

Compared to similar skills

exa-observability side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
exa-observability (this skill)12moReviewIntermediate
distributed-tracing54moNo flagsIntermediate
service-mesh-observability54moNo flagsAdvanced
observability-engineer125moNo flagsAdvanced

Try saying

Example prompts that trigger this skill in your AI assistant.

More by jeremylongshore

View all by jeremylongshore →

analyzing-logs

jeremylongshore

Analyze application logs to detect performance issues, identify error patterns, and improve stability by extracting key insights.

14123

ollama-setup

jeremylongshore

Configure auto-configure Ollama when user needs local LLM deployment, free AI alternatives, or wants to eliminate hosted API costs. Trigger phrases: "install ollama", "local AI", "free LLM", "self-hosted AI", "replace OpenAI", "no API costs". Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

1167

backtesting-trading-strategies

jeremylongshore

Backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity curves, and optimizes strategy parameters. Use when user wants to test a trading strategy, validate signals, or compare approaches. Trigger with phrases like "backtest strategy", "test trading strategy", "historical performance", "simulate trades", "optimize parameters", or "validate signals".

1071

generating-database-seed-data

jeremylongshore

Process this skill enables AI assistant to generate realistic test data and database seed scripts for development and testing environments. it uses faker libraries to create realistic data, maintains relational integrity, and allows configurable data volumes. u... Use when working with databases or data models. Trigger with phrases like 'database', 'query', or 'schema'.

1033

cursor-codebase-indexing

jeremylongshore

Execute set up and optimize Cursor codebase indexing. Triggers on "cursor index setup", "codebase indexing", "index codebase", "cursor semantic search". Use when working with cursor codebase indexing functionality. Trigger with phrases like "cursor codebase indexing", "cursor indexing", "cursor".

885

testing-mobile-apps

jeremylongshore

Execute mobile app testing on iOS and Android devices/simulators. Use when performing specialized testing. Trigger with phrases like "test mobile app", "run iOS tests", or "validate Android functionality".

810

You might also like

distributed-tracing

wshobson

Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.

577

service-mesh-observability

wshobson

Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.

574

observability-engineer

sickn33

Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows. Use PROACTIVELY for monitoring infrastructure, performance optimization, or production reliability.

1242

prometheus-configuration

wshobson

Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.

645

langfuse

davila7

Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production. Use when: langfuse, llm observability, llm tracing, prompt management, llm evaluation.

743

slo-implementation

wshobson

Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting. Use when establishing reliability targets, implementing SRE practices, or measuring service performance.

338

Search skills

Search the agent skills registry