ReddRadar
Topic: claude-code-plugins-marketplace
37 skills in this topic.
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openspec-propose
Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.
saadshahd/moo.md 32
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bond
Assesses team fitness and composes agent teams. Use when "set up a team", "team for this", "should I use agents", "design a team", "how many agents", "agent team".
saadshahd/moo.md 32
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consult
saadshahd/moo.md 32
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intent
Turn rough ideas into clear work orders before planning or building. Use when request is vague like "add a button", "make it better", "fix the thing". Triggers on ambiguous or underspecified requests. Produces a brief with scope, acceptance criteria, and stop conditions.
saadshahd/moo.md 32
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seed
Generate a project-level CLAUDE.md from stack detection and user-selected rule categories. Use when starting a new project, onboarding a repo, or when the user says "seed claude.md", "create project rules", "set up CLAUDE.md", "configure this project for me", or wants to establish coding conventions.
saadshahd/moo.md 32
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shape
saadshahd/moo.md 32
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design-postgis-tables
Comprehensive PostGIS spatial table design reference covering geometry types, coordinate systems, spatial indexing, and performance patterns for location-based applications
timescale/pg-aiguide 1,661
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setup-timescaledb-hypertables
Use this skill when creating database schemas or tables for Timescale, TimescaleDB, TigerData, or Tiger Cloud, especially for time-series, IoT, metrics, events, or log data. Use this to improve the performance of any insert-heavy table.
**Trigger when user asks to:**
- Create or design SQL schemas/tables AND Timescale/TimescaleDB/TigerData/Tiger Cloud is available
- Set up hypertables, compression, retention policies, or continuous aggregates
- Configure partition columns, segment_by, order_by, or chunk intervals
- Optimize time-series database performance or storage
- Create tables for sensors, metrics, telemetry, events, or transaction logs
**Keywords:** CREATE TABLE, hypertable, Timescale, TimescaleDB, time-series, IoT, metrics, sensor data, compression policy, continuous aggregates, columnstore, retention policy, chunk interval, segment_by, order_by
Step-by-step instructions for hypertable creation, column selection, compression policies, retention, continuous aggregates, and indexes.
timescale/pg-aiguide 1,661
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postgres-hybrid-text-search
Use this skill to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF).
**Trigger when user asks to:**
- Combine keyword and semantic search
- Implement hybrid search or multi-modal retrieval
- Use BM25/pg_textsearch with pgvector together
- Implement RRF (Reciprocal Rank Fusion) for search
- Build search that handles both exact terms and meaning
**Keywords:** hybrid search, BM25, pg_textsearch, RRF, reciprocal rank fusion, keyword search, full-text search, reranking, cross-encoder
Covers: pg_textsearch BM25 index setup, parallel query patterns, client-side RRF fusion (Python/TypeScript), weighting strategies, and optional ML reranking.
timescale/pg-aiguide 1,661
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pgvector-semantic-search
Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search.
**Trigger when user asks to:**
- Store or search vector embeddings in PostgreSQL
- Set up semantic search, similarity search, or nearest neighbor search
- Create HNSW or IVFFlat indexes for vectors
- Implement RAG (Retrieval Augmented Generation) with PostgreSQL
- Optimize pgvector performance, recall, or memory usage
- Use binary quantization for large vector datasets
**Keywords:** pgvector, embeddings, semantic search, vector similarity, HNSW, IVFFlat, halfvec, cosine distance, nearest neighbor, RAG, LLM, AI search
Covers: halfvec storage, HNSW index configuration (m, ef_construction, ef_search), quantization strategies, filtered search, bulk loading, and performance tuning.
timescale/pg-aiguide 1,661
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migrate-postgres-tables-to-hypertables
Use this skill to migrate identified PostgreSQL tables to Timescale/TimescaleDB hypertables with optimal configuration and validation.
**Trigger when user asks to:**
- Migrate or convert PostgreSQL tables to hypertables
- Execute hypertable migration with minimal downtime
- Plan blue-green migration for large tables
- Validate hypertable migration success
- Configure compression after migration
**Prerequisites:** Tables already identified as candidates (use find-hypertable-candidates first if needed)
**Keywords:** migrate to hypertable, convert table, Timescale, TimescaleDB, blue-green migration, in-place conversion, create_hypertable, migration validation, compression setup
Step-by-step migration planning including: partition column selection, chunk interval calculation, PK/constraint handling, migration execution (in-place vs blue-green), and performance validation queries.
timescale/pg-aiguide 1,661
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find-hypertable-candidates
Use this skill to analyze an existing PostgreSQL database and identify which tables should be converted to Timescale/TimescaleDB hypertables.
**Trigger when user asks to:**
- Analyze database tables for hypertable conversion potential
- Identify time-series or event tables in an existing schema
- Evaluate if a table would benefit from Timescale/TimescaleDB
- Audit PostgreSQL tables for migration to Timescale/TimescaleDB/TigerData
- Score or rank tables for hypertable candidacy
**Keywords:** hypertable candidate, table analysis, migration assessment, Timescale, TimescaleDB, time-series detection, insert-heavy tables, event logs, audit tables
Provides SQL queries to analyze table statistics, index patterns, and query patterns. Includes scoring criteria (8+ points = good candidate) and pattern recognition for IoT, events, transactions, and sequential data.
timescale/pg-aiguide 1,661
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design-postgres-tables
Use this skill for general PostgreSQL table design.
**Trigger when user asks to:**
- Design PostgreSQL tables, schemas, or data models when creating new tables and when modifying existing ones.
- Choose data types, constraints, or indexes for PostgreSQL
- Create user tables, order tables, reference tables, or JSONB schemas
- Understand PostgreSQL best practices for normalization, constraints, or indexing
- Design update-heavy, upsert-heavy, or OLTP-style tables
**Keywords:** PostgreSQL schema, table design, data types, PRIMARY KEY, FOREIGN KEY, indexes, B-tree, GIN, JSONB, constraints, normalization, identity columns, partitioning, row-level security
Comprehensive reference covering data types, indexing strategies, constraints, JSONB patterns, partitioning, and PostgreSQL-specific best practices.
timescale/pg-aiguide 1,661