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Topic: llm

10,059 skills in this topic.

managing-astro-local-env Manage local Airflow environment with Astro CLI. Use when the user wants to start, stop, or restart Airflow, view logs, troubleshoot containers, or fix environment issues. For project setup, see setting-up-astro-project.
astronomer/agents 295
deploying-airflow Deploy Airflow DAGs and projects. Use when the user wants to deploy code, push DAGs, set up CI/CD, deploy to production, or asks about deployment strategies for Airflow.
astronomer/agents 295
debugging-dags Comprehensive DAG failure diagnosis and root cause analysis. Use for complex debugging requests requiring deep investigation like "diagnose and fix the pipeline", "full root cause analysis", "why is this failing and how to prevent it". For simple debugging ("why did dag fail", "show logs"), the airflow entrypoint skill handles it directly. This skill provides structured investigation and prevention recommendations.
astronomer/agents 295
creating-openlineage-extractors Create custom OpenLineage extractors for Airflow operators. Use when the user needs lineage from unsupported or third-party operators, wants column-level lineage, or needs complex extraction logic beyond what inlets/outlets provide.
astronomer/agents 295
cosmos-dbt-fusion Use when running a dbt Fusion project with Astronomer Cosmos. Covers Cosmos 1.11+ configuration for Fusion on Snowflake/Databricks with ExecutionMode.LOCAL. Before implementing, verify dbt engine is Fusion (not Core), warehouse is supported, and local execution is acceptable. Does not cover dbt Core.
astronomer/agents 295
cosmos-dbt-core Use when turning a dbt Core project into an Airflow DAG/TaskGroup using Astronomer Cosmos. Does not cover dbt Fusion. Before implementing, verify dbt engine, warehouse, Airflow version, execution environment, DAG vs TaskGroup, and manifest availability.
astronomer/agents 295
checking-freshness Quick data freshness check. Use when the user asks if data is up to date, when a table was last updated, if data is stale, or needs to verify data currency before using it.
astronomer/agents 295
blueprint Define reusable Airflow task group templates with Pydantic validation and compose DAGs from YAML. Use when creating blueprint templates, composing DAGs from YAML, validating configurations, or enabling no-code DAG authoring for non-engineers.
astronomer/agents 295
authoring-dags Workflow and best practices for writing Apache Airflow DAGs. Use when the user wants to create a new DAG, write pipeline code, or asks about DAG patterns and conventions. For testing and debugging DAGs, see the testing-dags skill.
astronomer/agents 295
annotating-task-lineage Annotate Airflow tasks with data lineage using inlets and outlets. Use when the user wants to add lineage metadata to tasks, specify input/output datasets, or enable lineage tracking for operators without built-in OpenLineage extraction.
astronomer/agents 295
analyzing-data Queries data warehouse and answers business questions about data. Handles questions requiring database/warehouse queries including "who uses X", "how many Y", "show me Z", "find customers", "what is the count", data lookups, metrics, trends, or SQL analysis.
astronomer/agents 295
airflow-plugins Build Airflow 3.1+ plugins that embed FastAPI apps, custom UI pages, React components, middleware, macros, and operator links directly into the Airflow UI. Use this skill whenever the user wants to create an Airflow plugin, add a custom UI page or nav entry to Airflow, build FastAPI-backed endpoints inside Airflow, serve static assets from a plugin, embed a React app in the Airflow UI, add middleware to the Airflow API server, create custom operator extra links, or call the Airflow REST API from inside a plugin. Also trigger when the user mentions AirflowPlugin, fastapi_apps, external_views, react_apps, plugin registration, or embedding a web app in Airflow 3.1+. If someone is building anything custom inside Airflow 3.1+ that involves Python and a browser-facing interface, this skill almost certainly applies.
astronomer/agents 295
skill-creator Guide for creating effective skills that extend DAIV agent with specialized knowledge, workflows, or tool integrations. Use this skill when the user wants to create a new skill, update an existing skill, or get guidance on skill design patterns.
srtab/daiv 18
plan This skill should be used when the user asks to explore a codebase and design implementation plans without making any changes. Trigger when users say 'plan how to implement X', 'design an approach for Y', 'explore the codebase before changing Z', 'create an implementation strategy', 'analyze how to refactor X', 'map out dependencies for Y', 'I want a plan before we start coding', 'plan to fix issue
srtab/daiv 18
init This skill should be used when a user asks to initialize a repository for AI agents, create or update an AGENTS.md file, scaffold agent instructions for a codebase, or improve existing agent guidance. Triggers include phrases like 'create an AGENTS.md', 'set up agent instructions', 'initialize this repo for coding agents', 'update my AGENTS file', or 'analyze this repo and generate agent docs'.
srtab/daiv 18
code-review This skill should be used when a user asks for a code review, feedback on a PR or MR, diff assessment, or says things like 'can you review my changes', 'look at this diff', 'is this ready to merge', 'check my code', 'review this branch', 'what do you think of these changes', or 'LGTM check'. Covers correctness, tests, performance, security, and architecture feedback on pull/merge requests or raw diffs from any platform (GitHub, GitLab).
srtab/daiv 18
security-audit This skill should be used when the user asks to review code for security vulnerabilities, audit a pull request or merge request for risks, check if code is safe, find injection flaws or hardcoded secrets, or assess the security posture of a feature or codebase area. Use this skill even when the user doesn't say "security audit" explicitly — trigger on phrases like "is this code safe?", "audit this PR", "check for vulnerabilities", "any security issues here?", "review my changes for risks", "are there hardcoded secrets?", "check for SQL injection", "security review", or "assess the risk in this diff". When in doubt, use this skill — it's better to over-trigger on security reviews than to miss one.
srtab/daiv 18
fastapi-microservices-development Comprehensive guide for building production-ready microservices with FastAPI including REST API patterns, async operations, dependency injection, and deployment strategies
manutej/luxor-claude-marketplace 47
fastapi-development Modern Python API development with FastAPI covering async patterns, Pydantic validation, dependency injection, and production deployment
manutej/luxor-claude-marketplace 47
FastAPI Customer Support Tech Enablement Comprehensive FastAPI skill for building modern Python web APIs with focus on customer support systems, ticket management, real-time chat, and backend operations
manutej/luxor-claude-marketplace 47
expressjs-development Comprehensive Express.js development skill covering routing, middleware, request/response handling, error handling, and building production-ready REST APIs
manutej/luxor-claude-marketplace 47
express-microservices-architecture Complete guide for building scalable microservices with Express.js including middleware patterns, routing strategies, error handling, production architecture, and deployment best practices
manutej/luxor-claude-marketplace 47
axum-web-framework Complete guide for Axum web framework including routing, extractors, middleware, state management, error handling, and production deployment
manutej/luxor-claude-marketplace 47
langchain-orchestration Comprehensive guide for building production-grade LLM applications using LangChain's chains, agents, memory systems, RAG patterns, and advanced orchestration
manutej/luxor-claude-marketplace 47