EX

exa-deploy-integration

Provides deployment configurations and secret management for hosting Exa-based applications.

Install

mkdir -p .claude/skills/exa-deploy-integration && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/9038" && unzip -o skill.zip -d .claude/skills/exa-deploy-integration && rm skill.zip

Installs to .claude/skills/exa-deploy-integration

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.

Deploy Exa integrations to Vercel, Docker, and Cloud Run platforms.
67 charsno explicit “when” trigger
Advanced

Key capabilities

  • →Deploy Exa integrations to Vercel Edge Functions
  • →Containerize Exa applications using Docker
  • →Configure Google Cloud Run with secret management
  • →Implement health check endpoints for production monitoring
  • →Integrate Redis caching for production traffic

How it works

This skill provides deployment patterns and configuration examples for hosting Exa-powered applications on major cloud platforms.

Inputs & outputs

You give it
Application code using exa-js
You get back
Deployed production API endpoint

When to use exa-deploy-integration

  • →Deploy search API endpoints to Vercel
  • →Containerize Exa-powered applications with Docker
  • →Configure production environment variables
  • →Setup health check endpoints

About this skill

Exa Reversible Deployment Workflow

Overview

Deploy an Exa integration with server-side credentials, bounded concurrency, canary controls, and explicit rollback of scheduled work. 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

Production workers should call Exa from trusted server runtimes. Search and Contents can be synchronous, while Agent, Monitors, Websets, and Batch require durable IDs and terminal-state reconciliation. Deployments must account for queues and scheduled resources that outlive a process release.

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. Identify every runtime, queue, webhook, schedule, key, and Exa product in the release.
  2. Inject environment-specific secrets and deny them to browser or preview builds.
  3. Configure timeouts, endpoint budgets, queue bounds, and content-size limits.
  4. Deploy dark, validate configuration, then enable a small synthetic canary.
  5. Observe request IDs, error classes, latency, cost, and asynchronous backlog.
  6. Rollback code and separately pause or reconcile monitors, batches, and runs.

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

  • Rolling back code does not cancel vendor-side asynchronous work.
  • Preview environments can leak production keys or create paid schedules.
  • Autoscaling workers without a shared limiter can exceed team limits.

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

  • Deploy a disabled worker, validate secrets and egress, enable one-percent traffic, and pause Monitors before rollback.
  • 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 deploying to environments without Node.js support
  • →When serverless cold starts are unacceptable for latency

Prerequisites

EXA_API_KEYVercel, Docker, or gcloud CLI

Limitations

  • →Edge functions may timeout on complex queries
  • →Requires external secret management for production security

How it compares

It provides platform-specific configuration for secrets and runtime environments rather than generic deployment steps.

Compared to similar skills

exa-deploy-integration side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
exa-deploy-integration (this skill)02moReviewAdvanced
ecs24moReviewIntermediate
firecrawl-deploy-integration12moReviewIntermediate
evernote-deploy-integration02moReviewIntermediate

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

ecs

itsmostafa

AWS ECS container orchestration for running Docker containers. Use when deploying containerized applications, configuring task definitions, setting up services, managing clusters, or troubleshooting container issues.

215

firecrawl-deploy-integration

jeremylongshore

Deploy FireCrawl integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying FireCrawl-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy firecrawl", "firecrawl Vercel", "firecrawl production deploy", "firecrawl Cloud Run", "firecrawl Fly.io".

12

evernote-deploy-integration

jeremylongshore

Deploy Evernote integrations to production environments. Use when deploying to cloud platforms, configuring production, or setting up deployment pipelines. Trigger with phrases like "deploy evernote", "evernote production deploy", "release evernote", "evernote cloud deployment".

01

deployment-pipeline-design

wshobson

Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use when architecting deployment workflows, setting up continuous delivery, or implementing GitOps practices.

670

terraform-module-library

wshobson

Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.

759

genkit-infra-expert

jeremylongshore

Execute use when deploying Genkit applications to production with Terraform. Trigger with phrases like "deploy genkit terraform", "provision genkit infrastructure", "firebase functions terraform", "cloud run deployment", or "genkit production infrastructure". Provisions Firebase Functions, Cloud Run services, GKE clusters, monitoring dashboards, and CI/CD for AI workflows.

15

Search skills

Search the agent skills registry