20 Aiven for OpenSearch Deployment alternatives
Aiven for OpenSearch Deployment: Provision and deploy to Aiven for OpenSearch from an agent — managed clusters on AWS, GCP, Azure, DigitalOcean or UpCloud, with the Aiven-generated password read back after provisioning. 20 agent skills do similar work, most sharing MCP, OpenSearch and Deployment, ranked by how much they have in common with Aiven for OpenSearch Deployment.
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by LaunchDarkly
Design a staged LaunchDarkly rollout — traffic steps, monitoring windows, regression thresholds and automatic rollback — and start it from your coding agent.
Also: Deployment, MCP
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by OpenSearch Project
Investigate OpenTelemetry traces stored in OpenSearch — slow and error spans, reconstructed trace trees, service maps, plus agent invocation and token-usage analysis.
Also: OpenSearch
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by OpenSearch Project
Query and analyse logs held in OpenSearch using PPL and Query DSL — error-pattern discovery, error-rate tracking and anomaly detection, driven from natural language.
Also: OpenSearch
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by OpenSearch Project
Take an OpenSearch search application from requirements to a running cluster — BM25, dense and sparse vectors, hybrid retrieval, agentic search and RAG, with relevance evaluation built in.
Also: OpenSearch
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by Google Labs (Stitch)
Google's official Stitch skill for generating and editing UI screens from text or images — with a mandatory prompt-enhancement pipeline before every call.
Also: MCP
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by SerpApi
A protocol for measuring whether agents can discover and use your tool without being told about it — WITH/WITHOUT trials, binary scoring, and lift as the only metric. The subject under test is your docs, not the model.
Also: MCP
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by OpenAI
OpenAI's skill for driving Linear through its MCP server: a read-first workflow for issue triage, sprint planning, documentation audits and workload balancing, with the MCP setup and OAuth steps written out.
Also: MCP
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by Google Labs (Stitch)
Google's official Stitch skill for distilling a project into a DESIGN.md — a semantic design system agents can read before they generate anything.
Also: MCP
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by Google Labs (Stitch)
Google's official Stitch build skill for shadcn/ui — component discovery, installation, customisation and the conventions that keep a generated UI idiomatic.
Also: MCP
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by Google Labs (Stitch)
Google's official Stitch skill for autonomous multi-page site building — a baton file carries the next task from one agent iteration to the next.
Also: MCP
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by Google Labs (Stitch)
Google's official Stitch skill that reverses the usual direction — turns an existing React, Vue, Angular or Vite front end back into an editable Stitch design.
Also: MCP
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by Microsoft
Microsoft's official plugin that generates codeful MCP tools — a self-contained JS runtime plus JSON Schema metadata — and single-file HTML widgets to visualise their results.
Also: MCP
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by Cloudflare
Audits Core Web Vitals through the Chrome DevTools MCP server — LCP, INP, CLS plus FCP, TBT and Speed Index — and traces each one back to the render-blocking resource or layout shift causing it.
Also: MCP
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by Apollo GraphQL
Sets up Apollo MCP Server so an AI agent can call a GraphQL API as MCP tools — defining tools from named operations, or exposing introspect/search/validate/execute for open-ended schemas.
Also: MCP
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by Agnost AI
Walks a coding agent through wiring Agnost AI conversation analytics into a Python or TypeScript app — inspecting existing OpenTelemetry first and only adding an SDK when the traces are not usable.
Also: MCP
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by Notion
Notion's official meeting-prep skill: searches the workspace for context, enriches it with research, then writes an internal pre-read and an external agenda back into Notion.
Also: MCP
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by Figma
Figma's official design-to-code skill — a mandatory pre-step to get_design_context that turns a Figma node into components matching your real stack, not generic markup.
Also: MCP
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by Every App, Inc.
Turns seed topics into a prioritised keyword set using live OpenSEO MCP data — volume, difficulty and SERP evidence instead of an agent guessing at search demand.
Also: MCP
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by Anthropic
Anthropic's guide for building high-quality MCP servers end to end — research, tool design, implementation in TypeScript or Python, testing, and a 10-question evaluation suite.
Also: MCP
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by Railway
Railway's official agent skill: create projects, provision databases and buckets, deploy, manage variables and domains, and read build failures back — from the CLI, API or MCP server.
Also: Deployment
