Skill.md
- SKILL.md
--- name: make-automation description: Automate Make (Integromat) tasks via Rube MCP (Composio): operations, enums, language and timezone lookups. Always search tools first for current schemas. ---
Library Skill.md library
Each one names the GitHub repo it came from, so you can check exactly what it tells your AI to do.
274991 Skill.md files
--- name: make-automation description: Automate Make (Integromat) tasks via Rube MCP (Composio): operations, enums, language and timezone lookups. Always search tools first for current schemas. ---
--- name: n8n-workflow-patterns description: Proven architectural patterns for building n8n workflows. ---
--- name: notion-automation description: Automate Notion tasks via Rube MCP (Composio): pages, databases, blocks, comments, users. Always search tools first for current schemas. ---
--- name: slack-automation description: Automate Slack workspace operations including messaging, search, channel management, and reaction workflows through Composio's Slack toolkit. ---
--- name: workflow-automation description: Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off. ---
--- name: zapier-make-patterns description: No-code automation democratizes workflow building. Zapier and Make (formerly Integromat) let non-developers automate business processes without writing code. But no-code doesn't mean no-complexity - these platforms have their own patterns, pitfalls, and breaking points. ---
--- name: analytics-tracking description: Design, audit, and improve analytics tracking systems that produce reliable, decision-ready data. ---
--- name: business-analyst description: Master modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations. ---
--- name: claude-d3js-skill description: This skill provides guidance for creating sophisticated, interactive data visualisations using d3.js. ---
--- name: data-quality-frameworks description: Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts. ---
--- name: dbt-transformation-patterns description: Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing. ---
--- name: postgres-best-practices description: Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations. ---
--- name: sql-pro description: Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems. ---
--- name: airflow-dag-patterns description: Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs. ---
--- name: data-engineer description: Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms. ---
--- name: database-architect description: Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures. ---
--- name: embedding-strategies description: Guide to selecting and optimizing embedding models for vector search applications. ---
--- name: vector-database-engineer description: Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similar ---
--- name: aws-serverless description: Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS/SNS event-driven patterns, SAM/CDK deployment, and cold start optimization. ---
--- name: bash-linux description: Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems. ---
--- name: deployment-procedures description: Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts. ---
--- name: devops-troubleshooter description: Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability. ---
--- name: docker-expert description: You are an advanced Docker containerization expert with comprehensive, practical knowledge of container optimization, security hardening, multi-stage builds, orchestration patterns, and production deployment strategies based on current industry best practices. ---
--- name: environment-setup-guide description: Guide developers through setting up development environments with proper tools, dependencies, and configurations ---