Apply Solidity project conventions — Foundry only (forge, cast, anvil, chisel; no Hardhat or Truffle), forge fmt with sort_imports, solhint:all strict (--max-warnings=0…
Score 70/100
solidtime is a modern open-source time tracking application built for freelancers and agencies, featuring project and client management, billable rates, task assignment,…
Score 70/100
Use when selecting the right automation layer (Flow, Apex, LWC) for a new feature, reviewing an existing design for technical debt, or troubleshooting a mismatched automation…
Score 70/100
Consultar e corrigir issues do SonarQube. Use quando o usuário mencionar sonar-fix, quality gate, SonarQube, code smells, bugs Sonar, coverage, dívida técnica, BLOCKER, CRITICAL,…
Score 70/100
Monitors SonarQube project quality gates via the Web API and blocks CI deployments when thresholds fail. Tracks technical debt trends across releases.
Score 70/100
Generate spectrograms and audio feature visualizations (mel, chroma, MFCC, tempogram, etc.) from audio files via CLI.
Score 70/100
Sonic is a fast, lightweight, and schema-less search backend written in Rust. It serves as a drop-in alternative to Elasticsearch that runs on just a few megabytes of RAM, making…
Score 70/100
Complete REST API development workflow coordinating backend, database, testing, documentation, and DevOps agents. 2-week timeline with TDD approach.
Score 70/100
Comprehensive code review workflow coordinating quality, security, performance, and documentation reviewers. 4-hour timeline for thorough multi-agent review.
Score 70/100
Use when diagnosing and resolving SFDX source-tracking conflicts between a local project and a Salesforce org — covering sf project pull/push/retrieve/deploy conflict errors,…
Score 70/100
Run the SPARC Architecture and Implementation phases — design module boundaries, write pseudocode, implement code, and run tests
Score 70/100
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
Score 70/100
5-phase structured planning methodology: Specification, Pseudocode, Architecture, Refinement, Completion. Enhances GFV planning mode with formalized phases and quality gates.
Score 70/100
Automates PySpark DataFrame transformations including schema inference, partition pruning, and Delta Lake merge operations.
Score 70/100
Use when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications, distributed data processing pipelines, or big data…
Score 70/100
Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data…
Score 70/100
Spawn a new terminal window to run CLI commands (ffmpeg, curl, python, etc.). Use for non-AI command execution.
Score 70/100
GitHub Actions pipeline for Speak integrations with mocked API tests and audio validation. Use when implementing ci integration, or managing Speak language learning platform…
Score 70/100
Collect diagnostic information for Speak API issues: auth verification, audio format validation, session inspection, and network testing.
Score 70/100
Deploy Speak language learning features to Vercel, Cloud Run, or containerized environments. Use when implementing deploy integration, or managing Speak language learning platform…
Score 70/100
Configure Speak local development with mocked tutors and audio testing. Use when setting up a development environment, configuring test workflows, or building language learning…
Score 70/100
Optimize Speak API latency with audio preprocessing, response caching, and connection pooling. Use when implementing performance tuning, or managing Speak language learning…
Score 70/100
Handle Speak API rate limits with exponential backoff, request queuing, and optimization strategies. Use when implementing rate limits features, or troubleshooting Speak language…
Score 70/100
Production architecture for Speak language learning apps: client, API gateway, assessment engine, and progress store.
Score 70/100
6-phase iterative specification execution workflow covering implementation, testing, review, improvement, commit, and progress tracking with quality-gated convergence.
Score 70/100
Reverse-engineering specialist that extracts specifications from existing codebases. Use when working with legacy or undocumented systems, inherited projects, or old codebases…
Score 70/100
Use when the user says 'build me an app', 'create a project from this spec', 'scaffold a new repo', 'generate a starter', 'turn this idea into code', 'bootstrap a project', 'I…
Score 70/100
Explains specialized Synapse action classes for specific workflows. Use when the user mentions "BaseTrainAction", "BaseExportAction", "BaseUploadAction", "BaseInferenceAction",…
Score 70/100
Convert requirements into structured technical specifications with architecture decisions
Score 70/100
Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques.
Score 70/100
Sphinx documentation system expertise for technical and API documentation. Configure projects, autodoc for Python APIs, intersphinx for cross-project linking, extensions, and…
Score 70/100
Crawl and scraping systems architecture — distributed crawler topology, URL frontier, politeness, and compliance. Architecture-only (no execution code).
Score 70/100
Spike Test Setup - Auto-activating skill for Performance Testing. Triggers on: spike test setup, spike test setup Part of the Performance Testing skill category.
Score 70/100
Find and fix performance bottlenecks — N+1 queries, missing indexes, sync bottlenecks, caching gaps. Use when asked "why is this slow", "performance issue", "optimize this…
Score 70/100
Build a new production-ready service from scratch — config management, health checks, graceful shutdown, structured logging.
Score 70/100
Process split datasets into training, validation, and testing sets for ML model development. Use when requesting "split dataset", "train-test split", or "data partitioning".
Score 70/100
Expert guidance for Spring Boot application development with best practices for RESTful APIs, testing, security, and deployment
Score 70/100
트리거: "spring boot 코드 생성", "entity 만들어줘", "controller 생성", "jpa 레이어 생성", "spring 계층 구조 만들어줘" 수행: Java Spring Boot 프로젝트의 Entity·Repository·Service·Controller 계층을 일괄 생성한다.
Score 70/100
Spring Boot 4.0 + Java 25 development - auto-configuration, starters, Actuator, profiles, externalized config, security, and production patterns.
Score 70/100
Generates Spring Boot 3.x configurations, creates REST controllers, implements Spring Security 6 authentication flows, sets up Spring Data JPA repositories, and configures…
Score 70/100
Expert Spring Boot 4 testing specialist that selects the best Spring Boot testing techniques for your situation with Junit 6 and AssertJ.
Score 70/100
Expert guidance for Spring Framework and Spring Boot development with Java best practices, dependency injection, and RESTful API design
Score 70/100
中文优先：用于Spring Boot模式相关任务，帮助识别、设计、实现或验证对应工作流。English keywords: Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and…
Score 70/100
Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.
Score 70/100
Token-efficient MySQL/PostgreSQL operations using mycli and native CLI tools (Windows/Mac/Linux compatible). Replaces Artisan Tinker for database queries with 87% token savings.
Score 70/100
Universal SQL code review assistant that performs comprehensive security, maintainability, and code quality analysis across all SQL databases (MySQL, PostgreSQL, SQL Server,…
Score 70/100
Universal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL,…
Score 70/100
PostgreSQL 15+ query and schema guidelines. Apply when editing `.sql` files, migrations, or schema files.
Score 70/100
Write correct, performant SQL across all major data warehouse dialects (Snowflake, BigQuery, Databricks, PostgreSQL, etc.).
Score 70/100
Expert SQL query generation for DBX Studio. Use when writing, optimizing, or debugging SQL queries against user database connections.
Score 70/100
Analyzes and optimizes SQL queries across different data warehouse platforms (Snowflake, BigQuery, Redshift, Databricks) with platform-specific recommendations.
Score 70/100
Python SQL toolkit and ORM with expressive query API, relationship mapping, async support, and Alembic migrations
Score 70/100
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and…
Score 70/100
Use when the user explicitly requests a code review, or during subagent-driven development where review is part of the workflow
Score 70/100
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Score 70/100
Use when the user explicitly requests TDD workflow, or during a Ralph loop where TDD methodology is the selected workflow - not for routine coding tasks
Score 70/100
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Score 70/100
Defines service level objectives, creates error budget policies, designs incident response procedures, develops capacity models, and produces monitoring configurations and…
Score 70/100
Provides Site Reliability Engineering best practices for SLOs, SLIs, SLAs, error budgets, toil reduction, reliability reviews, and capacity planning.
Score 70/100
Practical guide for building safe, syntax-aware srgn CLI commands for source-code search and transformation.
Score 70/100