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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.

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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.

日本語の概要は準備中です。原文の説明を表示しています。

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.

日本語の概要は準備中です。原文の説明を表示しています。

Automates pre-development workflow for large-scale complex tasks. Use when the user mentions "rewrite", "migrate", "overhaul", "refactor entire project", "transform", "rebuild in [language]", "spec-driven", or describes any large-scale project transformation that requires planning before coding. Also triggers on Chinese keywords: "改造", "重写", "迁移", "重构", "大规模", "规范驱动". Performs full project analysis, task decomposition, documentation generation, project-level instruction and native memory surface resolution, progress tracking setup, and then executes the plan within the same session.

日本語の概要は準備中です。原文の説明を表示しています。

Detect initial silence segments in audio/video using energy-based analysis. Use when you need to find low-energy periods at the start of recordings (title slides, setup time, pre-roll silence).

日本語の概要は準備中です。原文の説明を表示しています。

When given a Python project codebase, this skill helps the agent to set up virtual environments, install dependencies, and run scripts.

日本語の概要は準備中です。原文の説明を表示しています。

Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.

日本語の概要は準備中です。原文の説明を表示しています。

Run Python code on cloud GPUs using Modal serverless platform. Use when you need A100/T4/A10G GPU access for training ML models. Covers Modal app setup, GPU selection, data downloading inside functions, and result handling.

日本語の概要は準備中です。原文の説明を表示しています。

Set up goreleaser for Go release automation with cross-compilation and publishing.

日本語の概要は準備中です。原文の説明を表示しています。

Configure HTTP/SSE transport for web-based MCP servers with proper endpoints, authentication, and CORS.

日本語の概要は準備中です。原文の説明を表示しています。

Configure WebSocket transport for bidirectional MCP communication with connection management and reconnection handling.

日本語の概要は準備中です。原文の説明を表示しています。

Generate BATS test structure and fixtures for shell script testing with setup/teardown, assertions, and mocking.

日本語の概要は準備中です。原文の説明を表示しています。

Configure code signing for macOS and Windows binaries with notarization.

日本語の概要は準備中です。原文の説明を表示しています。

Set up cosmiconfig for hierarchical configuration loading from multiple sources and formats.

日本語の概要は準備中です。原文の説明を表示しています。

Configure cross-env for cross-platform environment variable setting in npm scripts and CLI commands.

日本語の概要は準備中です。原文の説明を表示しています。

Configure cli-progress with custom formatters, multi-bar support, and ETA calculations for CLI progress indication.

日本語の概要は準備中です。原文の説明を表示しています。

Pinecone vector database setup, configuration, and operations for RAG applications

日本語の概要は準備中です。原文の説明を表示しています。

LlamaIndex agent and query engine setup for RAG-powered agents

日本語の概要は準備中です。原文の説明を表示しています。

Weaviate vector database setup with GraphQL queries and hybrid search

日本語の概要は準備中です。原文の説明を表示しています。

LangSmith tracing and debugging setup for LLM applications. Configure observability, capture traces, and enable debugging for LangChain/LangGraph agents.

日本語の概要は準備中です。原文の説明を表示しています。

Chroma local vector database setup and operations for development and production

日本語の概要は準備中です。原文の説明を表示しています。

Microsoft AutoGen multi-agent configuration for conversational AI systems

日本語の概要は準備中です。原文の説明を表示しています。

Git worktree management for safe, isolated feature development. Creates, manages, and cleans up worktrees with branch naming and dependency setup.

日本語の概要は準備中です。原文の説明を表示しています。

Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.

日本語の概要は準備中です。原文の説明を表示しています。