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Found 9,580 Skills
Expert data analysis and manipulation for customer support operations using pandas
Advanced Python unit testing framework for customer support tech enablement, covering FastAPI, SQLAlchemy, PostgreSQL, async operations, mocking, fixtures, parametrization, coverage, and comprehensive testing strategies for backend support systems
AI-led stakeholder interviews using LLMREI research-backed patterns. Conducts structured interviews to elicit requirements through context-adaptive questioning, active listening, and systematic requirement extraction.
Generate detailed implementation plans for complex tasks. Creates comprehensive strategic plans in Markdown format with objectives, step-by-step implementation tasks using checkbox format, verification criteria, risk assessments, and alternative approaches. All plans MUST be validated using the included validation script. Use when users need thorough analysis and structured planning before implementation, when breaking down complex features into actionable steps, or when they explicitly ask for a plan, roadmap, or strategy. Strictly planning-focused with no code modifications.
Safe patterns for evolving database schemas in production with decision trees and troubleshooting guidance.
PostgreSQL-based semantic and hybrid search with pgvector and ParadeDB. Use when implementing vector search, semantic search, hybrid search, or full-text search in PostgreSQL. Covers pgvector setup, indexing (HNSW, IVFFlat), hybrid search (FTS + BM25 + RRF), ParadeDB as Elasticsearch alternative, and re-ranking with Cohere/cross-encoders. Supports vector(1536) and halfvec(3072) types for OpenAI embeddings. Triggers: pgvector, vector search, semantic search, hybrid search, embedding search, PostgreSQL RAG, BM25, RRF, HNSW index, similarity search, ParadeDB, pg_search, reranking, Cohere rerank, pg_trgm, trigram, fuzzy search, LIKE, ILIKE, autocomplete, typo tolerance, fuzzystrmatch
HTMX patterns for Django including partial templates, hx-* attributes, and dynamic UI without JavaScript. Use when building interactive UI, handling AJAX requests, or creating dynamic components.
This skill should be used when user asks about "GCloud logs", "Cloud Logging queries", "Google Cloud metrics", "GCP observability", "trace analysis", or "debugging production issues on GCP".
This skill should be used when user asks about "Linear issues", "issue tracking best practices", "sprint planning", "Linear project management", or "creating Linear issues".
This skill should be used when user asks to "commit these changes", "write commit message", "stage and commit", "create a commit", "commit staged files", or runs /commit-staged or /commit-creator commands.
Generate images using Google Gemini with customizable options
Automatically detect and suggest appropriate MCP tools (context7, grep_app, web_search) based on user queries. This applies when queries contain documentation keywords (including English terms like how to use, docs, API, guide, tutorial and Chinese terms like 如何使用, 文档, 教程); code search keywords (including English terms like example, implementation, source code, github and Chinese terms like 例子, 示例, 实现, 源码); or latest information/bug fixing keywords (including English terms like latest, 2025, 2026, new, update, fix bug, error and Chinese terms like 最新, 更新, 修复 bug, 报错).