Packs
3 packs@dotnet
Dotnet Upgrade
Skills for migrating and upgrading .NET projects across framework versions, language features, and compatibility targets.
6 skills · pack
curated
Full-Stack Backend Platforms
For developers building backends with Convex, Firebase, or Django, covering schema design, real-time features, and deployment.
10 skills · pack
curated
Prioritize Features from Backlog
Install this pack to rank a backlog of feature ideas and identify the top 5 to pursue.
4 skills · pack
Results for “features”
8 skills
mariadb-corporation mariadb-features
Explains MariaDB-specific features and behaviors that differ from MySQL, including system-versioned tables, RETURNING, sequences, and version-specific defaults, to help optimize and migrate MariaDB applications.
0
antigravity using-neon
Provides guidance on using Neon Serverless Postgres, including setup, connection methods, features like branching and autoscaling, and references to official documentation.
42.4k
jeffallan postgres-pro
Optimize PostgreSQL queries, configure replication, and implement advanced database features with EXPLAIN analysis, JSONB operations, extension usage, and VACUUM tuning.
10.4k · bundle
More results
github postgresql-optimization
Optimize PostgreSQL databases with advanced features, performance tuning, and best practices for JSONB, full-text search, window functions, and indexing.
36.2k
openclaw convex-performance-audit
Audits Convex performance for reads, subscriptions, write contention, and function limits. Use for slow features, insights findings, OCC conflicts, or read amplification.
9.1k · bundle
github postgresql-code-review
Review PostgreSQL code for best practices, anti-patterns, and quality standards including JSONB, arrays, custom types, schema design, functions, and security features like Row Level Security.
36.2k
redpanda-data connect-cdc-oracle
Streams change data capture from Oracle Database into Redpanda or Kafka using the oracledb_cdc input in Redpanda Connect, which reads redo logs via LogMiner. Covers configuration, Oracle setup, checkpointing, and enterprise features.
6 · bundle
k-dense-ai pyopenms
Analyze proteomics and metabolomics mass spectrometry data with PyOpenMS: read/write MS file formats, process spectra, detect and quantify features, identify peptides and proteins, and run end-to-end LC-MS/MS pipelines using ready-to-run scripts.
30.2k · bundle