trungenglish
Community@trungenglish
trungenglish curates 97 engineering skills spanning spec-driven development, React/Expo mobile UI, Go Gin backends, and Google Cloud data pipelines.
Agent Skills by trungenglish
Showing 97 vetted skills indexed across 1 GitHub repositories.
trungenglishspeckit-checklist
Generate requirements-quality checklists for spec-kit feature specifications.
trungenglishspeckit-constitution
Create or update the project constitution and sync dependent spec-kit templates.
trungenglishspeckit-implement
Executes implementation plans by processing tasks defined in tasks.md.
trungenglishspeckit-taskstoissues
Convert spec-kit tasks into dependency-ordered GitHub issues via the GitHub MCP server.
trungenglishspeckit-clarify
Identifies underspecified areas in feature specs and encodes clarification answers back into the spec.
trungenglishspeckit-plan
Generates implementation plans and design artifacts from feature specifications using the spec-kit workflow.
trungenglishspeckit-agent-context-update
Refreshes the managed Spec Kit section in coding agent context files.
trungenglishspeckit-analyze
Analyze spec.md, plan.md, and tasks.md for inconsistencies, gaps, and constitution violations.
trungenglishspeckit-specify
Generate a validated feature specification from a natural language feature description.
trungenglishspeckit-tasks
Generates dependency-ordered tasks.md checklists from spec-kit design documents.
trungenglishrender-props-pattern
Implements the render props pattern for sharing rendering logic between React components.
trungenglishheroui-native
Build React Native mobile UIs with HeroUI Native components and Uniwind theming.
trungenglishlangfuse
Query Langfuse data via CLI and retrieve Langfuse documentation for LLM observability workflows.
trungenglishresearch
Investigates questions against primary sources and writes cited findings to a Markdown file.
trungenglishexpo-dev-client
Build and distribute Expo development clients via EAS Build or TestFlight.
trungenglishgolang-gin-testing
Write unit, integration, e2e, and load tests for Go Gin REST APIs.
trungenglishdomain-modeling
Build and maintain a project domain model with CONTEXT.md glossaries and ADRs.
trungenglishgolang-gin-deploy
Containerize and deploy Go Gin APIs with multi-stage Docker builds and docker-compose.
trungenglishagent-browser
Automate browser navigation, form filling, screenshots, and data extraction via CLI.
trungenglishgcp-data-pipelines
Routes Google Cloud data pipeline requests to the appropriate dbt, Dataflow, Dataform, Spark, or Composer skill.
trungenglishnative-data-fetching
Implement and debug Expo network requests, caching, authentication, and offline data fetching.
trungenglishexpo-api-routes
Create Expo Router API routes for server-side logic deployed to EAS Hosting.
trungenglishdiscovering-gcp-data-assets
Discovers and inspects Google Cloud data assets using Dataplex search and context lookup.
trungenglishgcp-spark
Develops and executes Spark code on Google Cloud Dataproc clusters and serverless batches.
Frequently Asked Questions About trungenglish
FAQPage SchemaWhat tasks can I accomplish with trungenglish's skill collection?▼
You can run spec-driven development (specify, plan, tasks, implement, analyze), build React/Next.js and Expo mobile apps with performance and animation guidance, create Go Gin REST APIs with JWT auth and PostgreSQL, and orchestrate GCP data pipelines using dbt, Dataform, Dataflow, Spark, and Cloud Composer.
Who is the target audience for these skills?▼
Frontend and mobile engineers working with React, Next.js, and Expo; backend developers building Go Gin services; and data engineers on Google Cloud using BigQuery, Dataflow, and Composer. Design engineers also benefit from animation review, Apple-style motion, and web interface guideline audits.
What prerequisites or dependencies do these skills require?▼
Spec-kit skills require a project with a .specify/ directory. GCP skills need gcloud authentication and Application Default Credentials. Expo skills assume an Expo/EAS project, and shadcn skills require a components.json setup. Several skills invoke npx, bunx, or the EAS CLI at runtime.
Are these skills open source and what licenses apply?▼
Yes. Google-published data pipeline skills use Apache-2.0, while Expo, Vercel, patterns.dev, and Go Gin skills use MIT licenses. All skills are free to use; no paid tiers or commercial licensing are mentioned in the manifest.
How do the spec-kit skills work together in practice?▼
Start with speckit-specify to create a feature spec, use speckit-clarify to resolve ambiguities, speckit-plan for design artifacts, speckit-tasks for dependency-ordered tasks, then speckit-implement to execute. speckit-analyze checks cross-artifact consistency, and speckit-taskstoissues publishes GitHub issues.