MongoDB Aggregation Pipeline Optimization
General MongoDB aggregation pipeline optimization techniques including early filtering, index usage, array operators vs $unwind, $lookup optimization, and performance debugging. Use when writing aggregation queries for ANY MongoDB project, debugging slow pipelines, or analyzing query performance. For M32RIMM-specific patterns, use mongodb-m32rimm-patterns skill.
telegram-bot-performance-engineer
This skill should be used when analyzing, profiling, or optimizing Telegram bots built with Python/Telethon, especially for performance bottlenecks, rate limits, caching, API usage, or when the user asks for a full repo review or best practices.
postgresql-table-design
Design a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features
sql-optimization-patterns
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.
senior-backend
Comprehensive backend development skill for building scalable backend systems using NodeJS, Express, Go, Python, Postgres, GraphQL, REST APIs. Includes API scaffolding, database optimization, security implementation, and performance tuning. Use when designing APIs, optimizing database queries, implementing business logic, handling authentication/authorization, or reviewing backend code.
debugging-strategies
Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.
hook-audit
Audits Claude Code hooks for correctness, safety, and performance. Use when reviewing, validating, or debugging hooks, checking exit codes, error handling, or learning hook best practices.
ecto-query-analysis
Analyzes Ecto queries for N+1 problems, missing preloads, and performance issues.
memory-location
Configure chitta memory storage location for optimal I/O performance. Use when memory is slow, setting up fast storage, or moving the soul database.
code-profiler
Use when asked to profile Python code performance, identify bottlenecks, measure execution time, or analyze function call statistics.
postgresql-performance
Optimize PostgreSQL performance - EXPLAIN ANALYZE, indexing, query tuning
redis-performance
Master Redis performance - memory optimization, slow log analysis, benchmarking, monitoring, and tuning strategies
query-optimization
SQL query optimization and performance tuning
swiftui-liquid-glass
Implement, review, or improve SwiftUI features using the iOS 26+ Liquid Glass API. Use when asked to adopt Liquid Glass in new SwiftUI UI, refactor an existing feature to Liquid Glass, or review Liquid Glass usage for correctness, performance, and design alignment.
codereview
Deep code review skill for Go code focusing on performance, security, concurrency safety, and readability. Supports reviewing local uncommitted code, recent commits, or specified commits/branches/tags.
code-review
Perform thorough code reviews with security, performance, and maintainability analysis. Use when user asks to review code, check for bugs, or audit a codebase.
design-postgres-tables
Comprehensive PostgreSQL-specific table design reference covering data types, indexing, constraints, performance patterns, and advanced features
memory-management
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