Maple
Official@mapletechlabs
Offers standardized OpenTelemetry instrumentation, ClickHouse database architecture, and Tinybird data pipeline configuration for enterprise-grade observability and high-performance analytics.
Agent Skills by Maple
Showing 31 vetted skills indexed across 1 GitHub repositories.
MapleTechLabsjsdocs
Writes compliant JSDoc for Effect public APIs to pass jsdocs oxlint rule.
MapleTechLabsscratchpad
Extract the nearest JSDoc Example block from a TypeScript source file.
MapleTechLabsgrill-me
Interview users one question at a time to resolve design assumptions and risks.
MapleTechLabstinybird-python-sdk-guidelines
Define and deploy Tinybird data resources in Python code.
MapleTechLabschdb-sql
Execute ClickHouse SQL queries on local files and remote databases in Python.
MapleTechLabsclickhousectl-local-dev
Sets up a local ClickHouse development environment with schema and data seeding via clickhousectl-installation and provisioning workflows.
MapleTechLabsclickhouse-architecture-advisor
Provide workload-aware ClickHouse architecture recommendations with provenance-labeled guidance.
MapleTechLabsreact-doctor
Scan React codebases for vulnerabilities, bottlenecks, and architectural flaws.
MapleTechLabstinybird-cli-guidelines
Provide validated Tinybird CLI command syntax and workflow safety guidelines.
MapleTechLabscoss-particles
Search an index of 480 copy-paste-ready coss UI particle patterns via JSON manifests.
MapleTechLabscoss
Implement coss UI components using Base UI primitives with Tailwind CSS v4.
MapleTechLabschdb-datastore
Replace pandas operations with ClickHouse-backed execution for large datasets.
MapleTechLabsmaple-telemetry-conventions
Enforce OpenTelemetry instrumentation conventions across TypeScript, Rust, and Python services.
MapleTechLabsclickhousectl-cloud-deploy
Automate ClickHouse deployment to managed ClickHouse Cloud services.
MapleTechLabstinybird-typescript-sdk-guidelines
Define and deploy type-safe Tinybird datasources and connections in TypeScript.
MapleTechLabsonboarding-cro
Optimize post-signup onboarding workflows to reduce drop-off and improve activation.
MapleTechLabstinybird
Guide building, optimizing, and troubleshooting Tinybird data pipelines.
MapleTechLabsclickhouse-best-practices
Review ClickHouse schemas and queries against 28 validated best-practice rules.
MapleTechLabsmaple-python-style
Standardize Python OpenTelemetry observability for Maple services.
MapleTechLabsmaple-go-style
Configures OpenTelemetry instrumentation for Go applications to send traces, logs, and metrics to Maple.
MapleTechLabsmaple-nextjs-style
Configure OpenTelemetry instrumentation for Next.js apps with Maple observability.
MapleTechLabsmaple-nodejs-style
Configure OpenTelemetry NodeSDK to send traces, logs, and metrics to Maple via OTLP HTTP.
MapleTechLabsmaple-dashboard-widgets
Validate raw Maple dashboard widget JSON for MCP submissions.
MapleTechLabsmaple-csharp-style
Configure ASP.NET Core OpenTelemetry exports to Maple's ingest endpoint.
Frequently Asked Questions About Maple
FAQPage SchemaWhat specific tasks can I perform using Maple's observability skills?▼
You can standardize OpenTelemetry instrumentation across TypeScript, Rust, Go, Java, Kotlin, and C# services. These skills enforce semantic conventions, configure OTLP HTTP exporters, and audit existing instrumentation to generate prioritized findings reports for your distributed systems.
Which engineers benefit most from these database and telemetry skills?▼
Platform engineers, backend developers, and data architects working with high-volume telemetry or real-time analytics benefit most. These skills are designed for teams managing ClickHouse clusters, Tinybird data pipelines, or complex microservice architectures requiring unified observability standards.
What are the prerequisites for implementing Maple's telemetry standards?▼
Implementation requires an existing OpenTelemetry-compatible collector or a Maple-compatible ingest endpoint. You must have your service repositories configured for standard OTLP export, and you should ensure your environment supports the specific language-native instrumentation libraries provided for your stack.