372 skills · sorted by relevance
Plan and manage Cloud Spanner databases on Google Cloud, design tables and primary keys, write SQL and client code, and investigate slow queries using database statistics to identify resource-intensive operations.
Guide database structure changes in a project using Drizzle and node-pg-migrate. Covers generating and reviewing migration files, checking compatibility during deployment, handling indexes separately, and validating changes before applying them to shared databases.
Create weekly reports from Postgres metrics, comparing current figures with recent weeks. Add plain-language explanations for notable changes, flag missing data, and post one report to Slack while keeping database access read-only.
Develop and debug LangBot's backend and web frontend. The skill guides environment setup, API additions, authentication, database migrations, and testing, including updates to matching MCP tools so agents can use changed API features.
Guide SQLite database design and performance tuning for applications. Covers concurrent reads and writes, indexes that speed up queries, full-text search, JSON processing, analytical queries, and versioned changes to database structure.
Manage machine learning experiments with MLflow by recording settings, metrics, files, and trained models. Covers experiment comparison, model version management, reproducible project configurations, and deployment workflows across local and cloud environments.
Build and run Omnigent’s server and Postgres together with Docker Compose on a laptop or existing Docker host. Use the supplied configuration and troubleshooting guidance to rebuild images, investigate startup problems, or adapt deployment to another platform.
Choose, create, and review software diagrams that explain structure, interactions, workflows, states, or data relationships. Select suitable notation and rendering tools, then plan static exports or interactive views with readable layouts, accessible controls, and validation.
Write, review, and optimize Postgres queries, database structures, and configuration using guidance maintained by Supabase. Prioritized rules and SQL examples help assess query speed, connections, indexes, and row-level security, which controls access to individual rows.
Draft structured RFCs, proposals for gathering feedback before a major decision. Organize background, weighted criteria, alternatives, costs, and a recommendation so stakeholders can compare choices and understand the reasons for the proposed direction.
Create ADRs, short records of architectural decisions, that explain what was chosen, why, and with what trade-offs. Choose among three formats and organize dates, status, numbering, and related links for future team members.
Build chat bots for multiple platforms using shared TypeScript logic with Chat SDK. The skill guides message handling, interactive cards, webhook connections, streamed AI replies, and adapters that connect platforms or store conversation state.
Assess web applications for SQL injection, where user input changes database queries. Guides authorized testing through response comparisons, timing checks, impact demonstrations, and evidence collection, leading to vulnerability reports and remediation recommendations.
Use SQLMap to test SQL injection, where application inputs can alter database queries. The skill guides automated detection, database and table discovery, selected data extraction, and documentation of the vulnerability type and severity.
Guides authorized security assessments with Metasploit, from scanning and vulnerability testing to payload generation, code used during a test, and post-exploitation investigation. It also covers session management and recording evidence of findings.
Build, validate, and release Marina applications and reports, then load or query their Postgres data. Manage application revisions, preview changes locally, roll back to retained packages, or archive applications through the Marina command line.
Give new users a practical introduction to what the agent can help with, including coding, memory, research, and planning. Explain natural ways to ask for work, recall earlier lessons, and prepare handoffs for later sessions.
Search stored learnings from past sessions by meaning or keywords. Retrieve relevant entries in full, along with their type, confidence, and session context, to revisit earlier findings about development patterns, installation, or errors.
Verify that infrastructure code is connected to the system and actually runs. Trace execution paths, check hook registration and database configuration, and test the full workflow to identify unused code or duplicate implementations before declaring completion.
Guide framework, language, database, and infrastructure migrations through research, impact analysis, phased planning, implementation, and review. Specialized agents produce reports and code changes, with testing steps and a rollback strategy included in the workflow.
Find the right code for Roo Code evaluations, which test AI coding tasks. This skill explains the execution system, management interface, and public results page, helping agents identify where changes and debugging work belong.
Design backend systems with clear boundaries between business rules, databases, and external services. Use Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to organize new applications, refactor existing code, and make core logic easier to test.
Comprehensive guide for Go database access — parameterized queries, struct scanning, NULLable columns, transactions, isolation levels, SELECT FOR UPDATE, connection pool, batch processing, context propagation, and migration tooling. Use when writing, reviewing, or debugging Golang code that interacts with PostgreSQL, MariaDB, MySQL, or SQLite; for database testing; or for questions about database/sql, sqlx, or pgx. Does NOT generate database schemas or migration SQL.
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Creates a complete Amazon Aurora database cluster with instances, handling cluster creation, instance provisioning, and Secrets Manager password management in the proper sequence. Use when setting up new Aurora MySQL or PostgreSQL clusters with production-ready configuration.
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