Loading...
Loading...
Found 13,993 Skills
Deep dive on table-driven tests in Go: when to use them, when to avoid them, struct design, subtest naming, advanced patterns like test matrices and shared setup, and refactoring bloated tables into clean ones. Use when writing table-driven tests, refactoring test tables, reviewing table test structure, or deciding whether table-driven is the right approach. Trigger examples: "table-driven test", "table test", "test cases struct", "test matrix", "parametrize tests", "data-driven test", "refactor test table". Do NOT use for general test strategy, mocking, golden files, or fuzz testing (use go-test-quality). Do NOT use for benchmarks (use go-performance-review).
Convert text to speech (TTS). Powered by the VolcEngine Doubao Text-to-Speech API, it supports streaming synthesis, multiple voice timbres, adjustments to speech rate/pitch/loudness, Markdown syntax filtering, and LaTeX formula broadcasting. Use this skill when users need to convert text to speech, generate reading audio, dubbing, narration, broadcasts, or mention terms like 'text-to-speech', 'TTS', 'speech synthesis', 'reading aloud', or 'dubbing'.
Generates Enonic XP scripts for bulk content operations — creating, updating, querying, migrating, and transforming content using lib-content and lib-node APIs. Covers the query DSL (NoQL), aggregations, batch processing, task controllers for long-running operations, and export/import workflows. Use when writing bulk content creation, update, or deletion scripts, querying with NoQL syntax, migrating content between environments, running long-running task operations, or working with aggregations and paginated retrieval. Do not use for Guillotine GraphQL frontend queries, content type schema definitions, single contentLib.get() calls, or non-Enonic data migration tools.
Implements and debugs browser Summarizer, Writer, and Rewriter integrations in JavaScript or TypeScript web apps. Use when adding availability checks, model download UX, session creation, summarize or write or rewrite flows, streaming output, abort handling, or permissions-policy constraints for built-in writing assistance APIs. Don't use for generic prompt engineering, server-side LLM SDKs, or cloud AI services.
Sets up Enonic XP event listeners, webhook configurations, and external system integrations triggered by content lifecycle events. Covers lib-event listener registration, node event filtering, outbound webhook configuration via com.enonic.xp.webhooks.cfg, custom HTTP service controllers for inbound webhooks, task-based async processing with lib-task, and outbound HTTP calls with lib-httpClient. Use when listening for content publish/create/update/delete events, configuring outbound webhooks, building HTTP service endpoints for inbound webhooks, or triggering async processing on content changes. Do not use for content querying, frontend component development, non-Enonic event systems, or GitHub webhook configuration.
Guides setup, development, and troubleshooting of the Next.js and Enonic XP headless integration (Next.XP framework). Covers Enonic adapter configuration, content type to React component mapping, Guillotine GraphQL data fetching, Content Studio preview mode, and draft/master branch switching. Use when building a Next.js frontend powered by Enonic XP, configuring the Next.XP adapter, mapping content types to components, fetching Enonic content via Guillotine in Next.js, or debugging Content Studio preview. Don't use for traditional server-side Enonic XP rendering, standalone Guillotine queries without Next.js, non-Next.js frontend frameworks with Enonic, or React4XP embedded rendering.
Run Gemini CLI review against the current branch, fix only the review comments that are still valid for the current codebase, and leave invalid comments unchanged.
Inspect unresolved review threads for the current pull request, then reply to and resolve them as needed.
Optimize MongoDB client connection configuration (pools, timeouts, patterns) for any supported driver language. Use this skill when working/updating/reviewing on functions that instantiate or configure a MongoDB client (eg, when calling `connect()`), configuring connection pools, troubleshooting connection errors (ECONNREFUSED, timeouts, pool exhaustion), optimizing performance issues related to connections. This includes scenarios like building serverless functions with MongoDB, creating API endpoints that use MongoDB, optimizing high-traffic MongoDB applications, creating long-running tasks and concurrency, or debugging connection-related failures.
Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR). Use when the user says "is my dataset okay", "evaluate my data", "check my training data", "I have my own data", or before starting any fine-tuning job. Detects file format, checks schema compliance against the selected model and technique, and reports whether the data is ready for training or evaluation.
Generates a Jupyter notebook that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock. Use when the user says "deploy my model", "create an endpoint", "make it available", or asks about deployment options. Identifies the correct deployment pathway (Nova vs OSS), generates deployment code, and handles endpoint configuration.
Use before claiming any task is complete, any feature works, or any bug is fixed - enforces fresh verification evidence through a 5-step HARD-GATE protocol that prevents false completion claims