
Opensearch Dashboard (Grade A)Security-tested development skill for Claude AI. Grade A. Generate OpenSearch Dashboards (Kibana) saved objects — index patterns, visualizations, and dashboards as JSON. Use when the user asks to crea
Overview
Key features
- Index pattern generation
- Visualization design and generation
- Dashboard composition and layout
- Support for various visualization types
- Metric and bucket aggregation definition
Pricing
- Model
- Free
- Category
- Skills
- Rating
- No reviews yet
Use cases
Creating a dashboard for log analysis
Use Opensearch Dashboard to generate a dashboard with visualizations for log analysis, including line charts for trends over time and bar charts for error distribution.
Designing a visualization for sales data
Use Opensearch Dashboard to create a visualization for sales data, including a heatmap for correlation analysis and a metric for total sales.
Pros & Cons
Pros
- Generates exportable OpenSearch Dashboards / Kibana saved objects as NDJSON for import
- Supports various visualization types, including line charts, bar charts, and heatmaps
- Allows users to define metric and bucket aggregations for visualizations
Cons
- Requires knowledge of index name or pattern, field names and types, and visualization requirements
- Can be complex to use for users without experience with OpenSearch or Kibana
Reviews
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Q&A
Why You Should Use This?
| Audience | Key Benefits | | -------------------- | ------------------------------------------------------------------------------------------------- | | Individual | 30%+ token savings, stop repeating standards, security guardrails, instant scaffolding | | Teams | Consistent AI behavior, day-one onboarding, codified patterns, compounding cost savings | | Organizations | Always-on compliance, same standards across 1,000 projects, central governance, measurable ROI |
Asked by Daniel Schmidt · May 28, 2026
What it detects?
| Category | Signals | | ------------------ | ------------------------------------------------------------------------------------------ | | Language | tsconfig.json, go.mod, Cargo.toml, requirements.txt, pom.xml, file extensions | | Framework | Dependencies in package.json / requirements.txt (React, Express, Django, Spring, etc.) | | Database | ORM configs (prisma/, sequelize, typeorm), .sql files, migration folders | | Testing | jest.config., vitest, pytest, cypress/, playwright.config. | | Infrastructure | Dockerfile, terraform/, cdk.json, serverless.yml, cloud SDK deps | | CI/CD | .github/workflows/, .gitlab-ci.yml, Jenkinsfile |
Asked by Priya Nair · May 26, 2026
What's Inside?
| Layer | Count | What It Does | How It's Triggered | | ------------- | ----- | ------------------------------------------------- | ----------------------------------- | | Rules | 47 | Enforces coding standards on every AI interaction | Automatically — always on | | Agents | 62 | Specialized assistants for complex tasks | On demand — /agent-name | | Skills | 50 | Step-by-step guided workflows with checklists | Contextually — when patterns match | | Commands | 37 | Lightweight, token-efficient quick actions | On demand — /command | | Hooks | 12 | Automation scripts in the AI loop | Event-driven — before/after actions | | Templates | 9 | Scaffolding for handlers, components, tests, etc. | Referenced by skills and agents |
Asked by Hana Kobayashi · May 25, 2026
Who is this for?
| Audience | Benefit | | ------------------- | ------------------------------------------------------------------- | | Solo developers | Consistent AI behavior without repeating yourself every session | | Teams | Shared standards; everyone gets the same guardrails and conventions | | Enterprises | Security, compliance, and token efficiency built in from day one |
Asked by Tunde Balogun · Apr 4, 2026
What knowledge is required to use Opensearch Dashboard?
Users need knowledge of index name or pattern, field names and types, and visualization requirements, which can be complex for inexperienced users.
Asked by Ines Fernandes · Nov 14, 2025
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